Kefei Yu

3.1k total citations · 1 hit paper
53 papers, 2.4k citations indexed

About

Kefei Yu is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Kefei Yu has authored 53 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 26 papers in Immunology and 10 papers in Epidemiology. Recurrent topics in Kefei Yu's work include DNA Repair Mechanisms (25 papers), T-cell and B-cell Immunology (20 papers) and CRISPR and Genetic Engineering (15 papers). Kefei Yu is often cited by papers focused on DNA Repair Mechanisms (25 papers), T-cell and B-cell Immunology (20 papers) and CRISPR and Genetic Engineering (15 papers). Kefei Yu collaborates with scholars based in United States, China and France. Kefei Yu's co-authors include Michael R. Lieber, Chih-Lin Hsieh, Li Han, Frédéric Chédin, Thomas E. Wilson, Feng‐Ting Huang, Deepankar Roy, Sathees C. Raghavan, Katheryn Meek and Nicholas R. Pannunzio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kefei Yu

51 papers receiving 2.4k citations

Hit Papers

R-loops at immunoglobulin class switch regions in the chr... 2003 2026 2010 2018 2003 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
Kefei Yu United States 26 1.8k 912 300 225 184 53 2.4k
Brett K. Kaiser United States 18 1.3k 0.7× 650 0.7× 439 1.5× 160 0.7× 181 1.0× 25 2.1k
Dermot Walls Ireland 24 782 0.4× 262 0.3× 360 1.2× 177 0.8× 122 0.7× 55 1.7k
Gretchen S. Jimenez United States 13 1.1k 0.6× 246 0.3× 473 1.6× 374 1.7× 118 0.6× 15 1.8k
Xiaoling Yu China 21 957 0.5× 609 0.7× 795 2.6× 113 0.5× 218 1.2× 58 1.9k
T. Wilson United States 16 944 0.5× 667 0.7× 282 0.9× 61 0.3× 194 1.1× 30 1.7k
Hiroki Miyashita Japan 22 1.4k 0.7× 279 0.3× 216 0.7× 97 0.4× 150 0.8× 54 2.0k
Shaowen Wang China 23 817 0.4× 536 0.6× 166 0.6× 109 0.5× 103 0.6× 78 1.5k
Frans Hochstenbach Netherlands 18 767 0.4× 856 0.9× 229 0.8× 121 0.5× 101 0.5× 25 1.8k
Christophe Duperray France 22 488 0.3× 577 0.6× 242 0.8× 87 0.4× 82 0.4× 49 1.5k

Countries citing papers authored by Kefei Yu

Since Specialization
Citations

This map shows the geographic impact of Kefei Yu'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 Kefei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kefei Yu more than expected).

Fields of papers citing papers by Kefei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kefei Yu. 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 Kefei Yu. The network helps show where Kefei Yu may publish in the future.

Co-authorship network of co-authors of Kefei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kefei Yu. A scholar is included among the top collaborators of Kefei Yu 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 Kefei Yu. Kefei Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lim, Junghyun, Brice Laffleur, Uttiya Basu, & Kefei Yu. (2022). Identification of RNA–DNA Hybrids Associated with R-Loops at the IgH Switch Sequence in Activated B Cells. Methods in molecular biology. 2528. 55–66.
3.
Yu, Kefei & Michael R. Lieber. (2019). Current insights into the mechanism of mammalian immunoglobulin class switch recombination. Critical Reviews in Biochemistry and Molecular Biology. 54(4). 333–351. 69 indexed citations
4.
Ramachandran, Shaliny, Dania Haddad, Conglei Li, et al.. (2016). The SAGA Deubiquitination Module Promotes DNA Repair and Class Switch Recombination through ATM and DNAPK-Mediated γH2AX Formation. Cell Reports. 15(7). 1554–1565. 72 indexed citations
5.
Pannunzio, Nicholas R., et al.. (2015). Complexities due to single-stranded RNA during antibody detection of genomic rna:dna hybrids. BMC Research Notes. 8(1). 127–127. 28 indexed citations
6.
Hsieh, Chih-Lin, et al.. (2015). Effect of CpG dinucleotides within IgH switch region repeats on immunoglobulin class switch recombination. Molecular Immunology. 66(2). 284–289. 4 indexed citations
7.
Pannunzio, Nicholas R., et al.. (2014). The role of G-density in switch region repeats for immunoglobulin class switch recombination. Nucleic Acids Research. 42(21). 13186–13193. 24 indexed citations
8.
Han, Li, et al.. (2014). DNA Ligase I Is Not Essential for Mammalian Cell Viability. Cell Reports. 7(2). 316–320. 28 indexed citations
9.
Wang, Zhixiao, et al.. (2014). Effect of hyperlipidemia on Foxp3 expression in apolipoprotein E-knockout mice. Journal of Cardiovascular Medicine. 15(4). 273–279. 15 indexed citations
10.
Han, Li, et al.. (2010). Cutting Edge: CTNNBL1 Is Dispensable for Ig Class Switch Recombination. The Journal of Immunology. 185(3). 1379–1381. 22 indexed citations
11.
Han, Li & Kefei Yu. (2008). Altered kinetics of nonhomologous end joining and class switch recombination in ligase IV–deficient B cells. The Journal of Experimental Medicine. 205(12). 2745–2753. 85 indexed citations
12.
Huang, Feng‐Ting, Kefei Yu, Erik Selsing, et al.. (2007). Sequence Dependence of Chromosomal R-Loops at the Immunoglobulin Heavy-Chain Sμ Class Switch Region. Molecular and Cellular Biology. 27(16). 5921–5932. 72 indexed citations
13.
Yu, Kefei, Deepankar Roy, Feng‐Ting Huang, & Michael R. Lieber. (2006). Detection and Structural Analysis of R‐Loops. Methods in enzymology on CD-ROM/Methods in enzymology. 409. 316–329. 25 indexed citations
14.
Huang, Feng‐Ting, Kefei Yu, Chih-Lin Hsieh, & Michael R. Lieber. (2006). Downstream boundary of chromosomal R-loops at murine switch regions: Implications for the mechanism of class switch recombination. Proceedings of the National Academy of Sciences. 103(13). 5030–5035. 54 indexed citations
15.
Lieber, Michael R., Kefei Yu, & Sathees C. Raghavan. (2006). Roles of nonhomologous DNA end joining, V(D)J recombination, and class switch recombination in chromosomal translocations. DNA repair. 5(9-10). 1234–1245. 140 indexed citations
16.
Irvine, Ryan A., Noritaka Adachi, Darryl Shibata, et al.. (2004). Generation and Characterization of Endonuclease G Null Mice. Molecular and Cellular Biology. 25(1). 294–302. 83 indexed citations
17.
Yu, Kefei & Michael R. Lieber. (2003). Nucleic acid structures and enzymes in the immunoglobulin class switch recombination mechanism. DNA repair. 2(11). 1163–1174. 77 indexed citations
18.
Yu, Kefei, et al.. (2003). Kinetic analysis of the nicking and hairpin formation steps in V(D)J recombination. DNA repair. 3(1). 67–75. 7 indexed citations
19.
Yu, Kefei, Frédéric Chédin, Chih-Lin Hsieh, Thomas E. Wilson, & Michael R. Lieber. (2003). R-loops at immunoglobulin class switch regions in the chromosomes of stimulated B cells. Nature Immunology. 4(5). 442–451. 601 indexed citations breakdown →
20.
Jong, Ambrose, Kefei Yu, Bingsen Zhou, et al.. (1998). A simple and sensitive ribonucleotide reductase assay. Journal of Biomedical Science. 5(1). 62–68. 14 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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