Kevin M. Jude

6.7k total citations · 1 hit paper
49 papers, 2.9k citations indexed

About

Kevin M. Jude is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kevin M. Jude has authored 49 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 23 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Kevin M. Jude's work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (15 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Kevin M. Jude is often cited by papers focused on Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (15 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Kevin M. Jude collaborates with scholars based in United States, Germany and Netherlands. Kevin M. Jude's co-authors include K. Christopher García, Naotaka Tsutsumi, Vincent C. Luca, Leon Su, Caleb R. Glassman, David W. Christianson, Deepa Waghray, Leah V. Sibener, Suzanne Fischer and Maxence V. Nachury and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Kevin M. Jude

47 papers receiving 2.9k citations

Hit Papers

Selective targeting of en... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin M. Jude United States 28 1.3k 1.2k 965 393 198 49 2.9k
J. Michael Elliott United States 22 561 0.4× 1.2k 1.0× 464 0.5× 413 1.1× 96 0.5× 27 2.3k
Manuel Baca Australia 30 1.0k 0.8× 1.8k 1.4× 1.4k 1.5× 362 0.9× 172 0.9× 63 3.6k
Melissa A. Starovasnik United States 32 1.5k 1.2× 3.1k 2.5× 676 0.7× 670 1.7× 171 0.9× 47 4.5k
Elieser Gorelik United States 31 1.9k 1.5× 1.7k 1.4× 1.6k 1.7× 180 0.5× 222 1.1× 55 4.6k
James N. Arnold United Kingdom 24 2.0k 1.5× 2.5k 2.0× 1.4k 1.4× 1.1k 2.9× 185 0.9× 44 4.5k
Julian D. Watts United States 38 1.1k 0.9× 3.8k 3.0× 636 0.7× 518 1.3× 157 0.8× 57 5.4k
Xuewu Zhang United States 25 2.0k 1.5× 2.6k 2.1× 744 0.8× 346 0.9× 99 0.5× 54 4.3k
Nadya I. Tarasova United States 34 562 0.4× 2.5k 2.0× 1.1k 1.1× 215 0.5× 214 1.1× 94 3.9k
Michael A. Siani United States 19 1.7k 1.3× 1.1k 0.9× 1.5k 1.5× 315 0.8× 79 0.4× 27 3.5k
Ouathek Ouerfelli United States 33 511 0.4× 2.7k 2.2× 1.2k 1.2× 243 0.6× 215 1.1× 62 4.1k

Countries citing papers authored by Kevin M. Jude

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Jude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin M. Jude. 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 Kevin M. Jude. The network helps show where Kevin M. Jude may publish in the future.

Co-authorship network of co-authors of Kevin M. Jude

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Jude. A scholar is included among the top collaborators of Kevin M. Jude 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 Kevin M. Jude. Kevin M. Jude 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.
Xiang, Xinyu, Kevin M. Jude, Yang Zhao, et al.. (2025). De novo design and structure of a peptide–centric TCR mimic binding module. Science. 389(6758). 375–379. 5 indexed citations
2.
Miao, Yi, et al.. (2025). Structure of the complex of C1q-like 3 protein with adhesion-GPCR BAI3. Communications Biology. 8(1). 693–693. 1 indexed citations
3.
Borowska, Marta T., Nathanael A. Caveney, Kevin M. Jude, et al.. (2024). Orientation-dependent CD45 inhibition with viral and engineered ligands. Science Immunology. 9(100). eadp0707–eadp0707.
4.
Du, Haotian, Kevin M. Jude, Xinbo Yang, et al.. (2024). A general system for targeting MHC class II–antigen complex via a single adaptable loop. Nature Biotechnology. 43(10). 1673–1682. 3 indexed citations
5.
Jiang, Hanlun, Kevin M. Jude, Jorge A. Fallas, et al.. (2024). De novo design of buttressed loops for sculpting protein functions. Nature Chemical Biology. 20(8). 974–980. 14 indexed citations
6.
Danneskiold‐Samsøe, Niels Banhos, Kevin M. Jude, Silas Boye Nissen, et al.. (2024). AlphaFold2 enables accurate deorphanization of ligands to single-pass receptors. Cell Systems. 15(11). 1046–1060.e3. 11 indexed citations
7.
Yang, Aerin, Kevin M. Jude, Ben Lai, et al.. (2023). Deploying synthetic coevolution and machine learning to engineer protein-protein interactions. Science. 381(6656). eadh1720–eadh1720. 18 indexed citations
8.
Bruun, Theodora U. J., Nathanael A. Caveney, Leon Su, et al.. (2023). A structural blueprint for interleukin-21 signal modulation. Cell Reports. 42(6). 112657–112657. 6 indexed citations
9.
Tsutsumi, Naotaka, Shoji Maeda, Qianhui Qu, et al.. (2022). Atypical structural snapshots of human cytomegalovirus GPCR interactions with host G proteins. Science Advances. 8(3). eabl5442–eabl5442. 21 indexed citations
10.
Yang, Xinbo, Lee Garner, Ivan V. Zvyagin, et al.. (2022). Autoimmunity-associated T cell receptors recognize HLA-B*27-bound peptides. Nature. 612(7941). 771–777. 85 indexed citations
11.
Zhao, Xiang, Elizabeth Motunrayo Kolawole, Waipan Chan, et al.. (2022). Tuning T cell receptor sensitivity through catch bond engineering. Science. 376(6589). eabl5282–eabl5282. 88 indexed citations
12.
Glassman, Caleb R., Naotaka Tsutsumi, Robert A. Saxton, et al.. (2022). Structure of a Janus kinase cytokine receptor complex reveals the basis for dimeric activation. Science. 376(6589). 163–169. 101 indexed citations
13.
Ren, Junming, Qingxiang Liu, Caleb R. Glassman, et al.. (2022). Facile discovery of surrogate cytokine agonists. Cell. 185(8). 1414–1430.e19. 51 indexed citations
14.
Glassman, Caleb R., Kevin M. Jude, Leon Su, et al.. (2021). Structural basis for IL-12 and IL-23 receptor sharing reveals a gateway for shaping actions on T versus NK cells. Cell. 184(4). 983–999.e24. 113 indexed citations
15.
Paula, Viviane S. De, Kevin M. Jude, Santrupti Nerli, et al.. (2020). Interleukin-2 druggability is modulated by global conformational transitions controlled by a helical capping switch. Proceedings of the National Academy of Sciences. 117(13). 7183–7192. 16 indexed citations
16.
Mohan, Kritika, George Ueda, Kevin M. Jude, et al.. (2019). Topological control of cytokine receptor signaling induces differential effects in hematopoiesis. Science. 364(6442). 86 indexed citations
17.
Sockolosky, Jonathan T., Eleonora Trotta, Giulia Parisi, et al.. (2018). Selective targeting of engineered T cells using orthogonal IL-2 cytokine-receptor complexes. Science. 359(6379). 1037–1042. 275 indexed citations breakdown →
18.
Mendoza, Juan L., William M. Schneider, Hans-Heinrich Hoffmann, et al.. (2017). The IFN-λ-IFN-λR1-IL-10Rβ Complex Reveals Structural Features Underlying Type III IFN Functional Plasticity. Immunity. 46(3). 379–392. 86 indexed citations
19.
Luca, Vincent C., Kevin M. Jude, Nathan W. Pierce, et al.. (2015). Structural basis for Notch1 engagement of Delta-like 4. Science. 347(6224). 847–853. 197 indexed citations
20.
Colleluori, Diana M., Frances A. Emig, E. Cama, et al.. (2005). Probing the role of the hyper-reactive histidine residue of arginase. Archives of Biochemistry and Biophysics. 444(1). 15–26. 13 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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