Benny Chain

18.1k total citations · 1 hit paper
253 papers, 8.4k citations indexed

About

Benny Chain is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Benny Chain has authored 253 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Immunology, 68 papers in Molecular Biology and 29 papers in Epidemiology. Recurrent topics in Benny Chain's work include Immunotherapy and Immune Responses (89 papers), T-cell and B-cell Immunology (84 papers) and Immune Cell Function and Interaction (69 papers). Benny Chain is often cited by papers focused on Immunotherapy and Immune Responses (89 papers), T-cell and B-cell Immunology (84 papers) and Immune Cell Function and Interaction (69 papers). Benny Chain collaborates with scholars based in United Kingdom, United States and Canada. Benny Chain's co-authors include James Heather, David R. Katz, Janusz Marcinkiewicz, Mahdad Noursadeghi, Gabriele Pollara, Jae Youl Cho, Tim P. Levine, Robert S. Anderson, J.C. Foreman and Robert F. Miller and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Benny Chain

248 papers receiving 8.3k citations

Hit Papers

The sequence of sequencers: The history of sequencing DNA 2015 2026 2018 2022 2015 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
Benny Chain United Kingdom 52 4.2k 2.8k 1.3k 866 823 253 8.4k
Jong‐Dae Lee Japan 48 3.3k 0.8× 2.9k 1.0× 971 0.7× 906 1.0× 734 0.9× 193 8.9k
Mark J. Miller United States 52 5.8k 1.4× 3.2k 1.2× 706 0.5× 1.0k 1.2× 462 0.6× 138 11.2k
Steven W. Edwards United Kingdom 56 5.4k 1.3× 4.8k 1.7× 1.1k 0.8× 1.2k 1.4× 577 0.7× 246 11.4k
W. Gregory Alvord United States 43 2.5k 0.6× 3.3k 1.2× 1.5k 1.1× 1.3k 1.5× 1.1k 1.3× 122 8.4k
Jie‐Oh Lee South Korea 39 5.5k 1.3× 5.5k 2.0× 1.6k 1.2× 1.1k 1.3× 585 0.7× 79 12.2k
Kosuke Matsui Japan 33 4.7k 1.1× 2.3k 0.8× 1.8k 1.3× 1.4k 1.6× 925 1.1× 154 8.5k
Jin Wang United States 49 4.0k 1.0× 4.7k 1.7× 2.0k 1.5× 1.4k 1.6× 1.2k 1.5× 153 10.3k
Isabelle Maridonneau‐Parini France 49 2.3k 0.5× 2.4k 0.9× 929 0.7× 786 0.9× 937 1.1× 123 6.6k
Andrew D. Wells United States 44 5.6k 1.4× 3.9k 1.4× 749 0.6× 1.6k 1.9× 710 0.9× 117 11.2k
Bing Sun China 57 3.2k 0.8× 3.7k 1.3× 1.7k 1.2× 628 0.7× 2.0k 2.4× 240 9.6k

Countries citing papers authored by Benny Chain

Since Specialization
Citations

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

Fields of papers citing papers by Benny Chain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benny Chain

This figure shows the co-authorship network connecting the top 25 collaborators of Benny Chain. A scholar is included among the top collaborators of Benny Chain 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 Benny Chain. Benny Chain 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.
Vyas, Vishal, Daniel Harding, Roberta Ragazzini, et al.. (2025). Heterogeneity of thymic output in the elderly and its association with sex and smoking. JCI Insight. 10(15). 1 indexed citations
2.
Milighetti, Martina, et al.. (2025). Contrastive learning of T cell receptor representations. Cell Systems. 16(1). 101165–101165. 2 indexed citations
3.
Baker, Ann‐Marie, Pablo Nenclares, Tahel Ronel, et al.. (2024). FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA. Cancer Research. 84(10). 1560–1569. 3 indexed citations
4.
Reuschl, Ann‐Kathrin, Tianyi Chen, Mervyn Singer, et al.. (2022). Executable network of SARS-CoV-2-host interaction predicts drug combination treatments. npj Digital Medicine. 5(1). 18–18. 10 indexed citations
5.
Pollara, Gabriele, Carolin T. Turner, Joshua Rosenheim, et al.. (2021). Exaggerated IL-17A activity in human in vivo recall responses discriminates active tuberculosis from latent infection and cured disease. Science Translational Medicine. 13(592). 31 indexed citations
6.
Oakes, Theres, Bram Gerritsen, Mazlina Ismail, et al.. (2020). The naive T-cell receptor repertoire has an extremely broad distribution of clone sizes. eLife. 9. 51 indexed citations
7.
Polonsky, Michal, Irina Zaretsky, Chamutal Bornstein, et al.. (2018). Induction of CD4 T cell memory by local cellular collectivity. Science. 360(6394). 58 indexed citations
8.
Thomas, Niclas, Katharine Best, Shlomit Reich-Zeliger, et al.. (2014). Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence. Bioinformatics. 30(22). 3181–3188. 70 indexed citations
9.
Bewley, Martin A., Helen M. Marriott, Calogero Tulone, et al.. (2011). A Cardinal Role for Cathepsin D in Co-Ordinating the Host-Mediated Apoptosis of Macrophages and Killing of Pneumococci. PLoS Pathogens. 7(1). e1001262–e1001262. 65 indexed citations
10.
Prokopowicz, Zofia, Frederick Arce, Rafał Biedroń, et al.. (2009). Hypochlorous Acid: A Natural Adjuvant That Facilitates Antigen Processing, Cross-Priming, and the Induction of Adaptive Immunity. The Journal of Immunology. 184(2). 824–835. 292 indexed citations
11.
Pollara, Gabriele, et al.. (2008). Glycoprotein-Dependent and TLR2-Independent Innate Immune Recognition of Herpes Simplex Virus-1 by Dendritic Cells. The Journal of Immunology. 180(11). 7525–7536. 45 indexed citations
12.
Chain, Benny, et al.. (2005). The Expression and Function of Cathepsin E in Dendritic Cells. The Journal of Immunology. 174(4). 1791–1800. 75 indexed citations
13.
Pollara, Gabriele, David R. Katz, & Benny Chain. (2004). The host response to herpes simplex virus infection. Current Opinion in Infectious Diseases. 17(3). 199–203. 36 indexed citations
14.
Creusot, Rémi J., Lindy L. Thomsen, J P Tite, & Benny Chain. (2003). Local Cooperation Dominates Over Competition Between CD4+ T Cells of Different Antigen/MHC Specificity. The Journal of Immunology. 171(1). 240–246. 19 indexed citations
15.
Rayment, Neil B., et al.. (1996). Regulation of cathepsin E expression during human B cell differentiation in vitro. European Journal of Immunology. 26(8). 1838–1843. 30 indexed citations
16.
Chain, Benny, et al.. (1992). HEMOCYTE HETEROGENEITY IN THE COCKROACH PERIPLANETA-AMERICANA ANALYZED USING MONOCLONAL-ANTIBODIES. UCL Discovery (University College London). 1 indexed citations
17.
Oben, Jude A., et al.. (1988). INVOLVEMENT OF GLUTATHIONE IN THE STIMULATION OF MITOGEN-INDUCED INTERLEUKIN-2 PRODUCTION BY ANTI-RHEUMATIC DRUGS. UCL Discovery (University College London). 1 indexed citations
18.
Chain, Benny, Marco Londei, & Marc Feldmann. (1986). BIOCHEMICAL AND CELLULAR QUESTIONS IN ANTIGEN PROCESSING. UCL Discovery (University College London). 320–323. 1 indexed citations
19.
Chain, Benny, et al.. (1981). RAPID PLASMATOCYTE DEPLETION IN AN INSECT FOLLOWING EXPERIMENTAL-INFECTION. UCL Discovery (University College London). 1 indexed citations
20.
Chain, Benny. (1980). The Transepithelial Potential and Osmotic Regulation in the Green Hydra. Journal of Experimental Biology. 88(1). 161–174. 7 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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