Characterization of Global Research Trends and Prospects on Single-Cell Sequencing Technology: Bibliometric Analysis

被引:21
作者
Wang, Quan [1 ,2 ]
Yang, Ke-Lu [3 ]
Zhang, Zhen [1 ,2 ]
Wang, Zhu [4 ]
Li, Chen [1 ,2 ]
Li, Lun [5 ]
Tian, Jin-Hui [6 ]
Ye, Ying-Jiang [1 ,2 ]
Wang, Shan [1 ,2 ]
Jiang, Ke-Wei [1 ,2 ]
机构
[1] Peking Univ Peoples Hosp, Dept Gastroenterol Surg, 11 Xizhimen South St, Beijing 100044, Peoples R China
[2] Peking Univ Peoples Hosp, Lab Surg Oncol, Beijing Key Lab Colorectal Canc Diag & Treatment, Beijing, Peoples R China
[3] Lanzhou Univ, Evidence Based Nursing Ctr, Sch Nursing, Lanzhou, Peoples R China
[4] Shandong First Med Univ, Dept Gastrointestinal Surg, Shandong Prov Hosp, Jinan, Peoples R China
[5] Fudan Univ, Shanghai Canc Ctr, Dept Breast Surg, Shanghai, Peoples R China
[6] Lanzhou Univ, Evidence Based Med Ctr, Sch Basic Med Sci, Lanzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
single-cell sequencing; bibliometric analysis; cancer; cancer genomics; bioinformatics; cancer subtyping; tumor dissociation; tumor microenvironment; precision medicine; immunology; development trends; hotspots; research topics; Web of Science; CiteSpace; VOSviewer; network; MESSENGER-RNA-SEQ; MUTATION; GENOME; OMICS;
D O I
10.2196/25789
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: As single-cell sequencing technology has been gradually introduced, it is essential to characterize global collaboration networks and map development trends over the past 20 years. Objective: The aim of this paper was to illustrate collaboration in the field of single-cell sequencing methods and explore key topics and future directions. Methods: Bibliometric analyses were conducted with CiteSpace and VOSviewer software on publications prior to November 2019 from the Web of Science Core Collection about single-cell sequencing methods. Results: Ultimately, we identified 2489 records, which were published in 495 journals by 14,202 authors from 1970 institutes in 61 countries. There was a noticeable increase in publications in 2014. The United States and high-income countries in Europe contributed to most of the records included. Harvard University, Stanford University, Karolinska Institutes, Peking University, and the University of Washington were the biggest nodes in every cluster of the collaboration network, and SA Teichmann, JC Marioni, A Regev, and FC Tang were the top-producing authors. Keywords co-occurrence analysis suggested applications in immunology as a developing research trend. Conclusions: We concluded that the global collaboration network was unformed and that high-income countries contributed more to the rapidly growth of publications of single-cell sequencing technology. Furthermore, the application in immunology might be the next research hotspot and developmental direction.
引用
收藏
页数:14
相关论文
共 48 条
[1]   Bibliometrics: tracking research impact by selecting the appropriate metrics [J].
Agarwal, Ashok ;
Durairajanayagam, Damayanthi ;
Tatagari, Sindhuja ;
Esteves, Sandro C. ;
Harlev, Avi ;
Henkel, Ralf ;
Roychoudhury, Shubhadeep ;
Homa, Sheryl ;
Garrido Puchalt, Nicolas ;
Ramasamy, Ranjith ;
Majzoub, Ahmad ;
Ly, Kim Dao ;
Tvrda, Eva ;
Assidi, Mourad ;
Kesari, Kavindra ;
Sharma, Reecha ;
Banihani, Saleem ;
Ko, Edmund ;
Abu-Elmagd, Muhammad ;
Gosalvez, Jaime ;
Bashiri, Asher .
ASIAN JOURNAL OF ANDROLOGY, 2016, 18 (02) :296-309
[2]   Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity [J].
Angermueller, Christof ;
Clark, Stephen J. ;
Lee, Heather J. ;
Macaulay, Iain C. ;
Teng, Mabel J. ;
Hu, Tim Xiaoming ;
Krueger, Felix ;
Smallwood, Sebastien A. ;
Ponting, Chris P. ;
Voet, Thierry ;
Kelsey, Gavin ;
Stegle, Oliver ;
Reik, Wolf .
NATURE METHODS, 2016, 13 (03) :229-+
[3]   SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing [J].
Bankevich, Anton ;
Nurk, Sergey ;
Antipov, Dmitry ;
Gurevich, Alexey A. ;
Dvorkin, Mikhail ;
Kulikov, Alexander S. ;
Lesin, Valery M. ;
Nikolenko, Sergey I. ;
Son Pham ;
Prjibelski, Andrey D. ;
Pyshkin, Alexey V. ;
Sirotkin, Alexander V. ;
Vyahhi, Nikolay ;
Tesler, Glenn ;
Alekseyev, Max A. ;
Pevzner, Pavel A. .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2012, 19 (05) :455-477
[4]   An estimation of the number of cells in the human body [J].
Bianconi, Eva ;
Piovesan, Allison ;
Facchin, Federica ;
Beraudi, Alina ;
Casadei, Raffaella ;
Frabetti, Flavia ;
Vitale, Lorenza ;
Pelleri, Maria Chiara ;
Tassani, Simone ;
Piva, Francesco ;
Perez-Amodio, Soledad ;
Strippoli, Pierluigi ;
Canaider, Silvia .
ANNALS OF HUMAN BIOLOGY, 2013, 40 (06) :463-471
[5]   Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing [J].
Casasent, Anna K. ;
Schalck, Aislyn ;
Gao, Ruli ;
Sei, Emi ;
Long, Annalyssa ;
Pangburn, William ;
Casasent, Tod ;
Meric-Bernstam, Funda ;
Edgerton, Mary E. ;
Navin, Nicholas E. .
CELL, 2018, 172 (1-2) :205-+
[6]   CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature [J].
Chen, CM .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2006, 57 (03) :359-377
[7]   How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives [J].
Dal Molin, Alessandra ;
Di Camillo, Barbara .
BRIEFINGS IN BIOINFORMATICS, 2019, 20 (04) :1384-1394
[8]   Trends in Worldwide Research in Hypertension Over the Period 1999-2018 A Bibliometric Study [J].
Devos, Patrick ;
Menard, Joel .
HYPERTENSION, 2020, 76 (05) :1649-1655
[9]   Integrated genome and transcriptome sequencing of the same cell [J].
Dey, Siddharth S. ;
Kester, Lennart ;
Spanjaard, Bastiaan ;
Bienko, Magda ;
van Oudenaarden, Alexander .
NATURE BIOTECHNOLOGY, 2015, 33 (03) :285-+
[10]   Single-Neuron Sequencing Analysis of L1 Retrotransposition and Somatic Mutation in the Human Brain [J].
Evrony, Gilad D. ;
Cai, Xuyu ;
Lee, Eunjung ;
Hills, L. Benjamin ;
Elhosary, Princess C. ;
Lehmann, Hillel S. ;
Parker, J. J. ;
Atabay, Kutay D. ;
Gilmore, Edward C. ;
Poduri, Annapurna ;
Park, Peter J. ;
Walsh, Christopher A. .
CELL, 2012, 151 (03) :483-496