Kevin Bi

7.3k total citations · 2 hit papers
20 papers, 2.4k citations indexed

About

Kevin Bi is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Kevin Bi has authored 20 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Kevin Bi's work include Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Kevin Bi is often cited by papers focused on Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (8 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Kevin Bi collaborates with scholars based in United States, Germany and United Kingdom. Kevin Bi's co-authors include W. Nicholas Haining, Rafick‐Pierre Sékaly, Ali Filali‐Mouhim, Lalit K. Beura, David Masopust, Stephen C. Jameson, Kathleen B. Yates, Arlene H. Sharpe, Marc K. Jenkins and Pamela C. Rosato and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kevin Bi

18 papers receiving 2.4k citations

Hit Papers

In vivo CRISPR screening identifies Ptpn2 as a cancer imm... 2016 2026 2019 2022 2017 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Bi United States 12 1.2k 933 626 218 204 20 2.4k
Long Li China 27 699 0.6× 1.1k 1.1× 347 0.6× 217 1.0× 119 0.6× 99 2.3k
Anja Fröhlich Germany 21 2.4k 2.0× 617 0.7× 500 0.8× 366 1.7× 383 1.9× 30 3.9k
Beth A. Jirón Tamburini United States 21 648 0.5× 912 1.0× 605 1.0× 148 0.7× 69 0.3× 40 2.0k
José A. García‐Sanz Spain 31 1.1k 0.9× 1.1k 1.2× 403 0.6× 205 0.9× 111 0.5× 60 2.7k
Monica S. Thakar United States 23 1.5k 1.2× 489 0.5× 594 0.9× 212 1.0× 56 0.3× 64 2.5k
Oliver T. Burton United States 28 1.6k 1.4× 1.2k 1.3× 646 1.0× 135 0.6× 82 0.4× 49 4.1k
Yupeng He United States 13 691 0.6× 899 1.0× 241 0.4× 418 1.9× 310 1.5× 38 2.2k
Matthias Haury France 21 2.0k 1.6× 896 1.0× 320 0.5× 261 1.2× 274 1.3× 29 3.0k
Vladimir Vincek United States 34 1.6k 1.3× 953 1.0× 386 0.6× 338 1.6× 141 0.7× 132 3.7k
Eileen Uribe‐Querol Mexico 16 891 0.7× 558 0.6× 249 0.4× 178 0.8× 48 0.2× 31 1.9k

Countries citing papers authored by Kevin Bi

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Bi. A scholar is included among the top collaborators of Kevin Bi 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 Bi. Kevin Bi 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.
Bi, Kevin, Soki Kashima, Sabrina Y. Camp, et al.. (2025). Myeloid cells mediate interferon-driven resistance to immunotherapy in advanced renal cell carcinoma. Immunity. 58(11). 2814–2829.e9.
2.
Nyman, Jackson, Thomas Denize, Ziad Bakouny, et al.. (2023). Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states. Cell Reports Medicine. 4(9). 101189–101189. 14 indexed citations
3.
Tang, Xinyao, et al.. (2022). High-Sensitivity Electric Potential Sensors for Non-Contact Monitoring of Physiological Signals. IEEE Access. 10. 19096–19111. 5 indexed citations
4.
Collins, Natalie B., Rose Al Abosy, Brian C. Miller, et al.. (2022). PI3K activation allows immune evasion by promoting an inhibitory myeloid tumor microenvironment. Journal for ImmunoTherapy of Cancer. 10(3). e003402–e003402. 47 indexed citations
5.
Miller, Brian C., Debattama R. Sen, Rose Al Abosy, et al.. (2020). Abstract A83: Subsets of exhausted CD8+ T cells differentially mediate tumor control and respond to checkpoint blockade. Cancer Immunology Research. 8(3_Supplement). A83–A83. 1 indexed citations
6.
Brown, Flavian D., Debattama R. Sen, Martin W. LaFleur, et al.. (2019). Fibroblastic reticular cells enhance T cell metabolism and survival via epigenetic remodeling. Nature Immunology. 20(12). 1668–1680. 55 indexed citations
7.
Miller, Brian C., Debattama R. Sen, Rose Al Abosy, et al.. (2019). Abstract 2701: Functionally specialized subsets of exhausted CD8+ T cells mediate tumor control and differentially respond to checkpoint blockade. Cancer Research. 79(13_Supplement). 2701–2701. 3 indexed citations
8.
Collins, Natalie B., Rose Al Abosy, Brian C. Miller, et al.. (2019). PI3K activated tumors evade tumor immunity by promoting an inhibitory myeloid microenvironment. The Journal of Immunology. 202(1_Supplement). 58.17–58.17. 4 indexed citations
10.
Brazin, Kristine N., Robert J. Mallis, Andras Boeszoermenyi, et al.. (2018). The T Cell Antigen Receptor α Transmembrane Domain Coordinates Triggering through Regulation of Bilayer Immersion and CD3 Subunit Associations. Immunity. 49(5). 829–841.e6. 52 indexed citations
11.
Fu, Jianing, Julien Zuber, Brittany Shonts, et al.. (2018). Clonal and Functional Analysis Reveals the Capacity of Allograft T cells to Join the Circulating Pool after Human Intestinal Transplantation. Transplantation. 102(Supplement 7). S420–S421.
12.
Yates, Kathleen B., Kevin Bi, W. Nicholas Haining, Harvey Cantor, & Hye‐Jung Kim. (2018). Comparative transcriptome analysis reveals distinct genetic modules associated with Helios expression in intratumoral regulatory T cells. Proceedings of the National Academy of Sciences. 115(9). 2162–2167. 43 indexed citations
13.
Manguso, Robert T., Hans W. Pope, Margaret D. Zimmer, et al.. (2017). In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target. Nature. 547(7664). 413–418. 774 indexed citations breakdown →
14.
Yoshizawa, Akihiro, Kevin Bi, Derin B. Keskin, et al.. (2017). TCR‐pMHC encounter differentially regulates transcriptomes of tissue‐resident CD8 T cells. European Journal of Immunology. 48(1). 128–150. 28 indexed citations
15.
Afik, Shaked, Kathleen B. Yates, Kevin Bi, et al.. (2017). Targeted reconstruction of T cell receptor sequence from single cell RNA-seq links CDR3 length to T cell differentiation state. Nucleic Acids Research. 45(16). e148–e148. 69 indexed citations
16.
Zwan, Anita van der, Kevin Bi, Errol R. Norwitz, et al.. (2017). Mixed signature of activation and dysfunction allows human decidual CD8 + T cells to provide both tolerance and immunity. Proceedings of the National Academy of Sciences. 115(2). 385–390. 118 indexed citations
17.
Beura, Lalit K., Sara E. Hamilton, Kevin Bi, et al.. (2016). Normalizing the environment recapitulates adult human immune traits in laboratory mice. Nature. 532(7600). 512–516. 760 indexed citations breakdown →
18.
Reese, Tiffany A., Kevin Bi, Amal Kambal, et al.. (2016). Sequential Infection with Common Pathogens Promotes Human-like Immune Gene Expression and Altered Vaccine Response. Cell Host & Microbe. 19(5). 713–719. 185 indexed citations
19.
Kuhlgert, Sebastian, Isaac Osei‐Bonsu, Donghee Hoh, et al.. (2016). MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network. Royal Society Open Science. 3(10). 160592–160592. 263 indexed citations
20.
Poulin, Matthew L., et al.. (2013). Abstract 4242: Methylation, SNP and expression analysis of the Vitamin D receptor (VDR) gene in different tumor tissues.. Cancer Research. 73(8_Supplement). 4242–4242. 1 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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