Robert Wuerffel

1.1k total citations
24 papers, 844 citations indexed

About

Robert Wuerffel is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Robert Wuerffel has authored 24 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 13 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Robert Wuerffel's work include T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (9 papers) and Genomics and Chromatin Dynamics (7 papers). Robert Wuerffel is often cited by papers focused on T-cell and B-cell Immunology (19 papers), Immune Cell Function and Interaction (9 papers) and Genomics and Chromatin Dynamics (7 papers). Robert Wuerffel collaborates with scholars based in United States, France and India. Robert Wuerffel's co-authors include Amy Kenter, Lili Wang, Steven R. Feldman, Richard J. Thompson, Ranjan Sen, Ahmed Amine Khamlichi, John Manis, Thomas Perlot, Frederick W. Alt and Eric Pinaud and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Genes & Development.

In The Last Decade

Robert Wuerffel

24 papers receiving 838 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Wuerffel United States 16 637 457 89 84 74 24 844
Huseyin Saribasak United States 13 349 0.5× 510 1.1× 59 0.7× 62 0.7× 108 1.5× 18 828
Diana Ronai United States 10 323 0.5× 341 0.7× 91 1.0× 45 0.5× 42 0.6× 14 601
Eva Besmer United States 9 598 0.9× 492 1.1× 131 1.5× 133 1.6× 52 0.7× 9 968
Amy Kenter United States 22 930 1.5× 736 1.6× 154 1.7× 130 1.5× 110 1.5× 46 1.4k
Stella Martomo United States 10 345 0.5× 448 1.0× 63 0.7× 49 0.6× 83 1.1× 24 683
Manxia Fan United States 9 280 0.4× 231 0.5× 95 1.1× 71 0.8× 38 0.5× 14 485
William Yang United States 12 311 0.5× 387 0.8× 46 0.5× 43 0.5× 81 1.1× 15 654
S Usuda Japan 8 280 0.4× 333 0.7× 101 1.1× 66 0.8× 28 0.4× 11 612
Valerie Odegard United States 8 327 0.5× 234 0.5× 126 1.4× 40 0.5× 27 0.4× 18 565

Countries citing papers authored by Robert Wuerffel

Since Specialization
Citations

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

Fields of papers citing papers by Robert Wuerffel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Wuerffel

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Wuerffel. A scholar is included among the top collaborators of Robert Wuerffel 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 Robert Wuerffel. Robert Wuerffel 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
1.
Bhat, Khalid Hussain, Eden Kleiman, Xue Lei, et al.. (2023). An Igh distal enhancer modulates antigen receptor diversity by determining locus conformation. Nature Communications. 14(1). 1225–1225. 8 indexed citations
2.
Shen, Hong Ming, Robert Wuerffel, Xue Lei, et al.. (2021). Loop extrusion promotes an alternate pathway for isotype switching. Cell Reports. 37(8). 110059–110059. 10 indexed citations
3.
Feldman, Steven R., Robert Wuerffel, Ikbel Achour, et al.. (2017). 53BP1 Contributes to Igh Locus Chromatin Topology during Class Switch Recombination. The Journal of Immunology. 198(6). 2434–2444. 21 indexed citations
4.
Kenter, Amy, et al.. (2016). AID hits the jackpot when missing the target. Current Opinion in Immunology. 39. 96–102. 7 indexed citations
5.
Montefiori, Lindsey E., Robert Wuerffel, Damian Roqueiro, et al.. (2016). Extremely Long-Range Chromatin Loops Link Topological Domains to Facilitate a Diverse Antibody Repertoire. Cell Reports. 14(4). 896–906. 48 indexed citations
6.
Wuerffel, Robert, Ikbel Achour, Bryan R. Lajoie, et al.. (2013). Flexible ordering of antibody class switch and V(D)J joining during B-cell ontogeny. Genes & Development. 27(22). 2439–2444. 33 indexed citations
7.
Kenter, Amy, et al.. (2013). Genomic Architecture may Influence Recurrent Chromosomal Translocation Frequency in the Igh Locus. Frontiers in Immunology. 4. 500–500. 6 indexed citations
8.
Kenter, Amy, et al.. (2012). Three‐dimensional architecture of the IgH locus facilitates class switch recombination. Annals of the New York Academy of Sciences. 1267(1). 86–94. 20 indexed citations
9.
Bhattacharya, Palash, Robert Wuerffel, & Amy Kenter. (2010). Switch Region Identity Plays an Important Role in Ig Class Switch Recombination. The Journal of Immunology. 184(11). 6242–6248. 5 indexed citations
10.
Wang, Lili, Robert Wuerffel, Steven R. Feldman, Ahmed Amine Khamlichi, & Amy Kenter. (2009). S region sequence, RNA polymerase II, and histone modifications create chromatin accessibility during class switch recombination. The Journal of Experimental Medicine. 206(8). 1817–1830. 111 indexed citations
11.
Wuerffel, Robert, Lili Wang, John Manis, et al.. (2007). S-S Synapsis during Class Switch Recombination Is Promoted by Distantly Located Transcriptional Elements and Activation-Induced Deaminase. Immunity. 27(5). 711–722. 162 indexed citations
12.
Wang, Lili, Robert Wuerffel, & Amy Kenter. (2006). NF‐κB binds to the immunoglobulin Sγ3 region in vivo during class switch recombination. European Journal of Immunology. 36(12). 3315–3323. 15 indexed citations
13.
14.
Wuerffel, Robert, Limei Ma, & Amy Kenter. (2001). NF-κB p50-Dependent In Vivo Footprints at Ig Sγ3 DNA Are Correlated with μ→γ3 Switch Recombination. The Journal of Immunology. 166(7). 4552–4559. 21 indexed citations
15.
Kenter, Amy & Robert Wuerffel. (1999). Immunoglobulin Switch Recombination May Occur by a DNA End‐Joining Mechanisma. Annals of the New York Academy of Sciences. 870(1). 206–217. 10 indexed citations
16.
Wuerffel, Robert, et al.. (1997). Ig Sgamma3 DNA-specifc double strand breaks are induced in mitogen-activated B cells and are implicated in switch recombination. The Journal of Immunology. 159(9). 4139–4144. 112 indexed citations
17.
Kenter, Amy, et al.. (1993). Switch recombination breakpoints occur at nonrandom positions in the S gamma tandem repeat.. The Journal of Immunology. 151(9). 4718–4731. 32 indexed citations
18.
Wuerffel, Robert, et al.. (1992). Switch recombination breakpoints are strictly correlated with DNA recognition motifs for immunoglobulin S gamma 3 DNA-binding proteins.. The Journal of Experimental Medicine. 176(2). 339–349. 45 indexed citations
19.
Wuerffel, Robert & Amy Kenter. (1992). Protein Recognition Motifs of Sγ3 DNA Are Statistically Correlated with Switch Recombination Breakpoints. Current topics in microbiology and immunology. 182. 149–156. 3 indexed citations
20.
Wuerffel, Robert, et al.. (1990). Detection of an Immunoglobulin Switch Region-Specific DNA-Binding Protein in Mitogen-Stimulated Mouse Splenic B Cells. Molecular and Cellular Biology. 10(4). 1714–1718. 18 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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