Chirag Krishna

3.8k total citations · 1 hit paper
18 papers, 957 citations indexed

About

Chirag Krishna is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Chirag Krishna has authored 18 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Chirag Krishna's work include Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (5 papers) and IL-33, ST2, and ILC Pathways (5 papers). Chirag Krishna is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Immunotherapy and Immune Responses (5 papers) and IL-33, ST2, and ILC Pathways (5 papers). Chirag Krishna collaborates with scholars based in United States, Australia and Germany. Chirag Krishna's co-authors include Christina S. Leslie, Nicholas M. Adams, Joseph C. Sun, Orr-El Weizman, Timothy E. O’Sullivan, Colleen M. Lau, Yuri Pritykin, Mariapia A. Degli‐Esposti, Iona S. Schuster and Timothy A. Chan and has published in prestigious journals such as Science, Cell and Nature Medicine.

In The Last Decade

Chirag Krishna

16 papers receiving 953 citations

Hit Papers

The landscape of immune dysregulation in Crohn’s disease ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chirag Krishna United States 11 763 252 218 155 85 18 957
Devon K. Taylor United States 12 675 0.9× 157 0.6× 126 0.6× 133 0.9× 101 1.2× 18 948
Hormas Ghadially United States 16 898 1.2× 73 0.3× 280 1.3× 81 0.5× 57 0.7× 25 1.0k
Jean‐Marc Doisne France 15 937 1.2× 101 0.4× 130 0.6× 92 0.6× 128 1.5× 22 1.1k
Dimitra Zotos Australia 13 1.2k 1.5× 57 0.2× 180 0.8× 173 1.1× 112 1.3× 16 1.4k
Alexander Ibraghimov United States 12 521 0.7× 176 0.7× 70 0.3× 177 1.1× 96 1.1× 20 729
Virginie Driss France 10 348 0.5× 113 0.4× 146 0.7× 101 0.7× 34 0.4× 16 613
Hongwei H. Zhang United States 12 709 0.9× 43 0.2× 218 1.0× 126 0.8× 86 1.0× 18 917
Wendy Jansen Netherlands 13 625 0.8× 70 0.3× 139 0.6× 136 0.9× 41 0.5× 17 918
Alessandra Bettinardi Italy 11 601 0.8× 77 0.3× 157 0.7× 193 1.2× 153 1.8× 14 998
K Deusch Germany 13 638 0.8× 80 0.3× 201 0.9× 145 0.9× 163 1.9× 28 911

Countries citing papers authored by Chirag Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Chirag Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chirag Krishna

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

All Works

18 of 18 papers shown
1.
Dikiy, Stanislav, Andrew G. Levine, Stephen Martis, et al.. (2025). Terminal differentiation and persistence of effector regulatory T cells essential for preventing intestinal inflammation. Nature Immunology. 26(3). 444–458. 6 indexed citations
2.
Cao, Zhifang, Chirag Krishna, Jennifer L. Reedy, et al.. (2024). Translational genetics identifies a phosphorylation switch in CARD9 required for innate inflammatory responses. Cell Reports. 43(3). 113944–113944.
3.
Krishna, Chirag, Miriam Saffern, E. A. Wilson, et al.. (2024). An immunogenetic basis for lung cancer risk. Science. 383(6685). eadi3808–eadi3808. 15 indexed citations
4.
Krishna, Chirag, Joshua Chiou, Saori Sakaue, et al.. (2024). The influence of HLA genetic variation on plasma protein expression. Nature Communications. 15(1). 6469–6469. 3 indexed citations
5.
Zhou, Wei, Anna Cuomo, Angli Xue, et al.. (2024). W28. EFFICIENT AND ACCURATE MIXED MODEL ASSOCIATION TOOL FOR SINGLE-CELL EQTL ANALYSIS. European Neuropsychopharmacology. 87. 115–116.
6.
Alban, Tyler, Nadeem Riaz, Vlad Makarov, et al.. (2023). Abstract 1125: Neoantigen immunogenicity landscapes and evolution of tumor ecosystems during immunotherapy with nivolumab. Cancer Research. 83(7_Supplement). 1125–1125. 1 indexed citations
7.
Kong, Lingjia, Vladislav Pokatayev, Ariel Lefkovith, et al.. (2023). The landscape of immune dysregulation in Crohn’s disease revealed through single-cell transcriptomic profiling in the ileum and colon. Immunity. 56(2). 444–458.e5. 94 indexed citations breakdown →
8.
Weber, Jeffrey K., Joseph A. Morrone, Seung-Gu Kang, et al.. (2023). Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity. Briefings in Bioinformatics. 25(1). 4 indexed citations
9.
Nixon, Briana G., Chun Chou, Chirag Krishna, et al.. (2022). Cytotoxic granzyme C–expressing ILC1s contribute to antitumor immunity and neonatal autoimmunity. Science Immunology. 7(70). eabi8642–eabi8642. 59 indexed citations
10.
Kansler, Emily R., Saïda Dadi, Chirag Krishna, et al.. (2022). Cytotoxic innate lymphoid cells sense cancer cell-expressed interleukin-15 to suppress human and murine malignancies. Nature Immunology. 23(6). 904–915. 55 indexed citations
11.
Vorkas, Charles Kyriakos, Chirag Krishna, Kelin Li, et al.. (2022). Single-Cell Transcriptional Profiling Reveals Signatures of Helper, Effector, and Regulatory MAIT Cells during Homeostasis and Activation. The Journal of Immunology. 208(5). 1042–1056. 37 indexed citations
12.
Sabio, Erich, Chirag Krishna, Xiaoxiao Ma, et al.. (2021). Qa-1b Modulates Resistance to Anti–PD-1 Immune Checkpoint Blockade in Tumors with Defects in Antigen Processing. Molecular Cancer Research. 19(6). 1076–1084. 13 indexed citations
13.
Krishna, Chirag, Diego Chowell, Mithat Gönen, Yuval Elhanati, & Timothy A. Chan. (2020). Genetic and environmental determinants of human TCR repertoire diversity. Immunity & Ageing. 17(1). 26–26. 38 indexed citations
14.
Nixon, Briana G., Fengshen Kuo, Ming Liu, et al.. (2020). IRF8 Governs Tumor-Associated Macrophage Control of T Cell Exhaustion. SSRN Electronic Journal. 4 indexed citations
15.
Chowell, Diego, Chirag Krishna, Federica Pierini, et al.. (2019). Evolutionary divergence of HLA class I genotype impacts efficacy of cancer immunotherapy. Nature Medicine. 25(11). 1715–1720. 174 indexed citations
16.
Weizman, Orr-El, Eric Song, Nicholas M. Adams, et al.. (2019). Mouse cytomegalovirus-experienced ILC1s acquire a memory response dependent on the viral glycoprotein m12. Nature Immunology. 20(8). 1004–1011. 91 indexed citations
17.
Geary, Clair D., Chirag Krishna, Colleen M. Lau, et al.. (2018). Non-redundant ISGF3 Components Promote NK Cell Survival in an Auto-regulatory Manner during Viral Infection. Cell Reports. 24(8). 1949–1957.e6. 24 indexed citations
18.
Weizman, Orr-El, Nicholas M. Adams, Iona S. Schuster, et al.. (2017). ILC1 Confer Early Host Protection at Initial Sites of Viral Infection. Cell. 171(4). 795–808.e12. 339 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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