Wenfang Tan

2.6k total citations · 2 hit papers
18 papers, 1.9k citations indexed

About

Wenfang Tan is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Wenfang Tan has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in Wenfang Tan's work include CRISPR and Genetic Engineering (14 papers), Animal Genetics and Reproduction (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Wenfang Tan is often cited by papers focused on CRISPR and Genetic Engineering (14 papers), Animal Genetics and Reproduction (11 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). Wenfang Tan collaborates with scholars based in United States, United Kingdom and France. Wenfang Tan's co-authors include Daniel F. Carlson, Scott C. Fahrenkrug, Chris Proudfoot, Simon Lillico, Bruce Whitelaw, Daniel F. Voytas, Perry B. Hackett, Dana Štveráková, Karl J. Clark and Colby G. Starker and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Virology.

In The Last Decade

Wenfang Tan

17 papers receiving 1.9k citations

Hit Papers

In vivo genome editing us... 2012 2026 2016 2021 2012 2012 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wenfang Tan United States 12 1.6k 980 196 182 116 18 1.9k
Daniel F. Carlson United States 24 2.6k 1.6× 1.6k 1.6× 374 1.9× 257 1.4× 197 1.7× 50 3.2k
Sarah J. Hinkley United States 6 2.4k 1.5× 706 0.7× 340 1.7× 58 0.3× 82 0.7× 8 2.6k
Jean-Baptiste Renaud France 6 1.4k 0.9× 339 0.3× 190 1.0× 91 0.5× 46 0.4× 7 1.6k
Kornel Labun Norway 8 1.6k 1.0× 290 0.3× 193 1.0× 177 1.0× 59 0.5× 10 1.9k
H. Steve Zhang United States 4 1.7k 1.0× 542 0.6× 229 1.2× 53 0.3× 41 0.4× 6 1.9k
Alena Shkumatava France 19 3.2k 2.0× 416 0.4× 381 1.9× 187 1.0× 70 0.6× 29 3.7k
Joshua A. Baller United States 15 2.3k 1.4× 494 0.5× 833 4.3× 176 1.0× 44 0.4× 20 2.7k
Elo Leung United States 4 1.9k 1.2× 569 0.6× 328 1.7× 53 0.3× 35 0.3× 5 2.1k
Clarice Schmidt United States 13 2.9k 1.8× 742 0.8× 1.0k 5.3× 213 1.2× 55 0.5× 19 3.5k
Joffrey Mianné France 9 1.2k 0.8× 282 0.3× 181 0.9× 68 0.4× 46 0.4× 19 1.4k

Countries citing papers authored by Wenfang Tan

Since Specialization
Citations

This map shows the geographic impact of Wenfang Tan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wenfang Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenfang Tan more than expected).

Fields of papers citing papers by Wenfang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenfang Tan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wenfang Tan. The network helps show where Wenfang Tan may publish in the future.

Co-authorship network of co-authors of Wenfang Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Wenfang Tan. A scholar is included among the top collaborators of Wenfang Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenfang Tan. Wenfang Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Tan, Wenfang, Enguang Rong, Simon Lillico, et al.. (2024). Validation of Candidate Host Cell Entry Factors for Bovine Herpes Virus Type-1 Based on a Genome-Wide CRISPR Knockout Screen. Viruses. 16(2). 297–297.
2.
Li, Xi, et al.. (2022). Decoupling relationship analysis between urbanization and carbon emissions in 33 African countries. Heliyon. 8(9). e10423–e10423. 41 indexed citations
3.
Sharp, Colin, Wenfang Tan, Joanne M. Stevens, et al.. (2022). Using Species a Rotavirus Reverse Genetics to Engineer Chimeric Viruses Expressing SARS-CoV-2 Spike Epitopes. Journal of Virology. 96(14). e0048822–e0048822. 11 indexed citations
4.
Craig, Nicky, Sarah Fletcher, Alison Daniels, et al.. (2022). Direct Lysis RT-qPCR of SARS-CoV-2 in Cell Culture Supernatant Allows for Fast and Accurate Quantification. Viruses. 14(3). 508–508. 11 indexed citations
5.
Pfisterer, Ulrich, Bruno Di Stefano, James Ashmore, et al.. (2017). Constitutively Active SMAD2/3 Are Broad-Scope Potentiators of Transcription-Factor-Mediated Cellular Reprogramming. Cell stem cell. 21(6). 791–805.e9. 23 indexed citations
6.
Lillico, Simon, Chris Proudfoot, Tim King, et al.. (2016). Mammalian interspecies substitution of immune modulatory alleles by genome editing. Scientific Reports. 6(1). 21645–21645. 84 indexed citations
7.
Tan, Wenfang, Chris Proudfoot, Simon Lillico, & Bruce Whitelaw. (2016). Gene targeting, genome editing: from Dolly to editors. Transgenic Research. 25(3). 273–287. 119 indexed citations
8.
Tan, Wenfang, Daniel F. Carlson, Cheryl A. Lancto, et al.. (2013). Efficient nonmeiotic allele introgression in livestock using custom endonucleases. Proceedings of the National Academy of Sciences. 110(41). 16526–16531. 205 indexed citations
9.
Lillico, Simon, Chris Proudfoot, Daniel F. Carlson, et al.. (2013). Live pigs produced from genome edited zygotes. Scientific Reports. 3(1). 2847–2847. 133 indexed citations
10.
Proudfoot, Chris, Daniel F. Carlson, Dana Štveráková, et al.. (2013). Live pigs produced from genome edited. 2 indexed citations
11.
Carlson, Daniel F., Wenfang Tan, Perry B. Hackett, & Scott C. Fahrenkrug. (2013). Editing livestock genomes with site-specific nucleases. Reproduction Fertility and Development. 26(1). 74–82. 18 indexed citations
12.
Bedell, Victoria M., Ying Wang, Jarryd M. Campbell, et al.. (2012). In vivo genome editing using a high-efficiency TALEN system. Nature. 491(7422). 114–118. 719 indexed citations breakdown →
13.
Fahrenkrug, Scott C., Wenfang Tan, Simon Lillico, et al.. (2012). GENE INACTIVATION AND NONMEIOTIC ALLELE INTROGRESSION IN LIVESTOCK SPECIES USING TALENS. Reproduction Fertility and Development. 25(1). 318–318. 1 indexed citations
14.
Carlson, Daniel F., Wenfang Tan, & Scott C. Fahrenkrug. (2012). 328 VERSATILE TRANSCRIPTION ACTIVATOR-LIKE EFFECTOR NUCLEASE (TALEN)-MEDIATED ENGINEERING OF OSSABAW MINIATURE SWINE. Reproduction Fertility and Development. 25(1). 312–312. 1 indexed citations
15.
Tan, Wenfang, Daniel F. Carlson, Mark Walton, Scott C. Fahrenkrug, & Perry B. Hackett. (2012). Precision Editing of Large Animal Genomes. Advances in genetics. 80. 37–97. 87 indexed citations
16.
Fahrenkrug, Scott C., Wenfang Tan, Simon Lillico, et al.. (2012). 337 NONMEIOTIC INTROGRESSION OF QUANTITATIVE TRAIT NUCLEOTIDES AND CORRECTION OF CONGENITAL MUTATIONS IN LIVESTOCK WITH TRANSCRIPTION ACTIVATOR-LIKE EFFECTOR NUCLEASES. Reproduction Fertility and Development. 25(1). 316–316. 1 indexed citations
17.
Carlson, Daniel F., Wenfang Tan, Simon Lillico, et al.. (2012). Efficient TALEN-mediated gene knockout in livestock. Proceedings of the National Academy of Sciences. 109(43). 17382–17387. 449 indexed citations breakdown →
18.
Carlson, Daniel F., John Garbe, Wenfang Tan, et al.. (2011). Strategies for selection marker-free swine transgenesis using the Sleeping Beauty transposon system. Transgenic Research. 20(5). 1125–1137. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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