A Metric Approach to Hot Topics in Biomedicine via Keyword Co-occurrence

Anokye-Danso, F., Trivedi, C.M., Juhr, D., Gupta, M., Cui, Z., Tian, Y., Zhang, Y., Yang, W., Gruber, P.J., & Epstein, J.A. (2011). Highly efficient miRNA-mediated reprogramming of mouse and human somatic cells to pluripotency. Cell Stem Cell, 8(4), 376–388.Anokye-DansoF.TrivediC.M.JuhrD.GuptaM.CuiZ.TianY.ZhangY.YangW.GruberP.J.&EpsteinJ.A.2011Highly efficient miRNA-mediated reprogramming of mouse and human somatic cells to pluripotencyCell Stem Cell8437638810.1016/j.stem.2011.03.001309065021474102Search in Google Scholar

Banks, M.G. (2006). An extension of the hirsch index: Indexing scientific topics and compounds. Scientometrics, 69(1), 161–168.BanksM.G.2006An extension of the hirsch index: Indexing scientific topics and compoundsScientometrics69116116810.1007/s11192-006-0146-5Search in Google Scholar

Bastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: An open source software for exploring and manipulating networks. In Proceedings of the Third International Conference on Weblogs and Social Media (361–362). San Jose, California, USA. ICWSM.BastianM.HeymannS.&JacomyM.2009Gephi: An open source software for exploring and manipulating networksProceedings of the Third International Conference on Weblogs and Social Media (361–362)San Jose, California, USAICWSMSearch in Google Scholar

Benner, S.A., & Sismour, A.M. (2005). Synthetic biology. Nat Rev Genet, 6, 533–543.BennerS.A.&SismourA.M.2005Synthetic biologyNat Rev Genet653354310.1038/nrg1637709740515995697Search in Google Scholar

Borgatti, S.P., Everett, M.G., & Freeman, L.C. (2002). Ucinet for windows: Software for social network analysis, Harvard, MA: Analytic Technologies.BorgattiS.P.EverettM.G.&FreemanL.C.2002Ucinet for windows: Software for social network analysisHarvard, MAAnalytic TechnologiesSearch in Google Scholar

Bornmann, L., & Daniel, H.D. (2005). Does the h-index for ranking of scientists really work? Scientometrics, 65(3), 391–392.BornmannL.&DanielH.D.2005Does the h-index for ranking of scientists really work?Scientometrics65339139210.1007/s11192-005-0281-4Search in Google Scholar

Bornmann, L., & Daniel, H. (2007). What do we know about the h index? Journal of the American Society for Information Science and Technology, 58(9), 1381–1385.BornmannL.&DanielH.2007What do we know about the h index?Journal of the American Society for Information Science and Technology5891381138510.1002/asi.20609Search in Google Scholar

Braun, T., Glänzel, W., & Schubert, A. (2006). A hirsch-type index for journals. Scientometrics, 69(1), 169–173.BraunT.GlänzelW.&SchubertA.2006A hirsch-type index for journalsScientometrics69116917310.1007/s11192-006-0147-4Search in Google Scholar

Cameron, D.E., Bashor, C.J., & Collins, J.J. (2014). A brief history of synthetic biology. Nature Reviews Microbiology, 12, 381–390.CameronD.E.BashorC.J.&CollinsJ.J.2014A brief history of synthetic biologyNature Reviews Microbiology1238139010.1038/nrmicro323924686414Search in Google Scholar

Chen, C. (2006). Information visualization: Beyond the horizon, Berlin: Springer.ChenC.2006Information visualization: Beyond the horizonBerlinSpringerSearch in Google Scholar

Cong, L., Ran, F.A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P.D., Wu, X., Jiang, W., & Marraffini, L.A. (2013). Multiplex genome engineering using CRISPR/Cassystems. Science, 339, 819–823.CongL.RanF.A.CoxD.LinS.BarrettoR.HabibN.HsuP.D.WuX.JiangW.&MarraffiniL.A.2013Multiplex genome engineering using CRISPR/CassystemsScience33981982310.1126/science.1231143379541123287718Search in Google Scholar

Cox, D.B.T., Gootenberg, J.S., Abudayyeh, O.O., Franklin, B., Kellner, M.J., Joung, J., & Zhang, F. (2017). Rna editing with crispr-cas13. Science, 358, 1019–1027.CoxD.B.T.GootenbergJ.S.AbudayyehO.O.FranklinB.KellnerM.J.JoungJ.&ZhangF.2017Rna editing with crispr-cas13Science3581019102710.1126/science.aaq0180579385929070703Search in Google Scholar

Eck, N.J.V., & Waltman, L. (2010). Software survey: Vosviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.EckN.J.V.&WaltmanL.2010Software survey: Vosviewer, a computer program for bibliometric mappingScientometrics84252353810.1007/s11192-009-0146-3288393220585380Search in Google Scholar

Esvelt, K.M., & Wang, H.H. (2013). Genome-scale engineering for systems and synthetic biology. Molecular Systems Biology, 9, 641–641.EsveltK.M.&WangH.H.2013Genome-scale engineering for systems and synthetic biologyMolecular Systems Biology964164110.1038/msb.2012.66356426423340847Search in Google Scholar

Friedkin, N.E. (1991). Theoretical foundations for centrality measures. American Journal of Sociology, 96, 1478–1504.FriedkinN.E.1991Theoretical foundations for centrality measuresAmerican Journal of Sociology961478150410.1086/229694Search in Google Scholar

Gibson, D.G., Glass, J.I., Lartigue, C., Noskov, V.N., Chuang, R.Y., Algire, M.A., Benders, G.A., Montague, M.G., Ma, L., & Moodie, M.M. (2010). Creation of a bacterial cell controlled by a chemically synthesized genome. 329(5987), 52–56.GibsonD.G.GlassJ.I.LartigueC.NoskovV.N.ChuangR.Y.AlgireM.A.BendersG.A.MontagueM.G.MaL.&MoodieM.M.2010Creation of a bacterial cell controlled by a chemically synthesized genome32959875256Search in Google Scholar

Hirsch, J.E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America, 102, 16569–16572.HirschJ.E.2005An index to quantify an individual’s scientific research outputProceedings of the National Academy of Sciences of the United States of America102165691657210.1073/pnas.0507655102128383216275915Search in Google Scholar

Horvath, P., & Barrangou, R. (2010). CRISPR/Cas, the immune system of bacteria and archaea. 327, 167–170.HorvathP.&BarrangouR.2010CRISPR/Cas, the immune system of bacteria and archaea32716717010.1126/science.117955520056882Search in Google Scholar

Knott, G.A., & Doudna, J.A. (2018). CRISPR-Casguides the future of genetic engineering. Science, 361, 866–869.KnottG.A.&DoudnaJ.A.2018CRISPR-Casguides the future of genetic engineeringScience36186686910.1126/science.aat5011645591330166482Search in Google Scholar

Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J.A., & Charpentier, E. (2012). A programmable dual-rna-guided DNA endonuclease in adaptive bacterial immunity. Science, 337, 816–821.JinekM.ChylinskiK.FonfaraI.HauerM.DoudnaJ.A.&CharpentierE.2012A programmable dual-rna-guided DNA endonuclease in adaptive bacterial immunityScience33781682110.1126/science.1225829628614822745249Search in Google Scholar

Lee, P.C., & Su, H.N. (2010). Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis. Innovation: Management, Policy& Practice, 12(1), 26–40.LeeP.C.&SuH.N.2010Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysisInnovation: Management, Policy& Practice121264010.5172/impp.12.1.26Search in Google Scholar

Liu, Q., & Ye, Y. (2012). A study on mining bibliographic records by designed software sati case study on library and information science. Journal of Information Resources Management, 22(1), 50–58.LiuQ.&YeY.2012A study on mining bibliographic records by designed software sati case study on library and information scienceJournal of Information Resources Management2215058Search in Google Scholar

Ma, H., Marti-Gutierrez, N., Park, S.W., Wu, J., & Mitalipov, S. (2017). Correction of a pathogenic gene mutation in human embryos. Nature, 548, 413–419.MaH.Marti-GutierrezN.ParkS.W.WuJ.&MitalipovS.2017Correction of a pathogenic gene mutation in human embryosNature54841341910.1038/nature2330528783728Search in Google Scholar

Ma, X., Kong, L., & Zhu, S. (2017). Reprogramming cell fates by small molecules. Protein Cell, 8(5), 328–348.MaX.KongL.&ZhuS.2017Reprogramming cell fates by small moleculesProtein Cell8532834810.1007/s13238-016-0362-6541359628213718Search in Google Scholar

Newman, M. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the National Academy of Science, 101, 5200–5205.NewmanM.2004Coauthorship networks and patterns of scientific collaborationProceedings of the National Academy of Science1015200520510.1073/pnas.030754510038729614745042Search in Google Scholar

Paquet, D., Kwart, D., Chen, A., Sproul, A., Jacob, S., Teo, S., Olsen, K.M., Gregg, A., Noggle, S., & Tessier-Lavigne, M. (2016). Efficient introduction of specific homozygous and heterozygous mutations using CRISPR/Cas9. Nature, 533, 125–129.PaquetD.KwartD.ChenA.SproulA.JacobS.TeoS.OlsenK.M.GreggA.NoggleS.&Tessier-LavigneM.2016Efficient introduction of specific homozygous and heterozygous mutations using CRISPR/Cas9Nature53312512910.1038/nature1766427120160Search in Google Scholar

Scudellari, M. (2016). A decade of ips cells. Nature, 534, 310–312.ScudellariM.2016A decade of ips cellsNature53431031210.1038/534310a27306170Search in Google Scholar

Su, H.N., & Lee, P.-C. (2010). Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in technology foresight. Scientometrics, 85(1), 65–79.SuH.N.&LeeP.-C.2010Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in technology foresightScientometrics851657910.1007/s11192-010-0259-8Search in Google Scholar

Takahashi, K. (2006). Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell, 126, 663–676.TakahashiK.2006Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factorsCell12666367610.1016/j.cell.2006.07.02416904174Search in Google Scholar

Wang, P., Zhu, F., Song, H., & Hou, J. (2017). A bibliometric profile of current science between 1961 and 2015. Current Science, 113(3), 386–392.WangP.ZhuF.SongH.&HouJ.2017A bibliometric profile of current science between 1961 and 2015Current Science113338639210.18520/cs/v113/i03/386-392Search in Google Scholar

Wolfe, A.W. (1997). Social network analysis: Methods and applications. American Ethnologist, 24, 136–137.WolfeA.W.1997Social network analysis: Methods and applicationsAmerican Ethnologist2413613710.1525/ae.1997.24.1.219Search in Google Scholar

Yan, W.X., Hunnewell, P., Alfonse, L.E., Carte, J.M., Keston-Smith, E., Sothiselvam, S., Garrity, A.J., Chong, S., Makarova, K.S., Koonin, E.V., Cheng, D.R., & Scott, D.A. (2019). Functionally diverse type v CRISPR-Cassystems. Science, 363(6422), 88–91.YanW.X.HunnewellP.AlfonseL.E.CarteJ.M.Keston-SmithE.SothiselvamS.GarrityA.J.ChongS.MakarovaK.S.KooninE.V.ChengD.R.&ScottD.A.2019Functionally diverse type v CRISPR-CassystemsScience3636422889110.1126/science.aav727130523077Search in Google Scholar

Ye, F.Y. (2014). The research progress and developing perspective of assessment indicators. Journal of the China Scciety for Scientific and Technical Information, 33, 215–224.YeF.Y.2014The research progress and developing perspective of assessment indicatorsJournal of the China Scciety for Scientific and Technical Information33215224Search in Google Scholar

Zetsche, B., Gootenberg, J.S., Abudayyeh, O.O., Slaymaker, I.M., Makarova, K.S., Essletzbichler, P., Volz, S.E., Joung, J., Van Der Oost, J., Regev, A., V.Koonin, E., & Zhang, F. (2015). Cpf1 is a single rna-guided endonuclease of a class 2 CRISPR-Cassystem. Cell, 163, 759–771.ZetscheB.GootenbergJ.S.AbudayyehO.O.SlaymakerI.M.MakarovaK.S.EssletzbichlerP.VolzS.E.JoungJ.Van Der OostJ.RegevA.V.KooninE.&ZhangF.2015Cpf1 is a single rna-guided endonuclease of a class 2 CRISPR-CassystemCell16375977110.1016/j.cell.2015.09.038463822026422227Search in Google Scholar