Alok Kumar

1.1k total citations · 2 hit papers
11 papers, 782 citations indexed

About

Alok Kumar is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Alok Kumar has authored 11 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Alok Kumar's work include Immune cells in cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immune Cell Function and Interaction (4 papers). Alok Kumar is often cited by papers focused on Immune cells in cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immune Cell Function and Interaction (4 papers). Alok Kumar collaborates with scholars based in Japan, United States and China. Alok Kumar's co-authors include Kenji Chamoto, Partha S. Chowdhury, Tasuku Honjo, Sidonia Fagarasan, Kazuhiro Sonomura, Fumihiko Matsuda, Greg M. Delgoffe, McLane J. Watson, Esteban Carrizosa and Konstantinos Lontos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Applied and Environmental Microbiology.

In The Last Decade

Alok Kumar

11 papers receiving 779 citations

Hit Papers

Mitochondrial activation chemicals synergize with surface... 2017 2026 2020 2023 2017 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alok Kumar Japan 7 430 352 258 217 63 11 782
Adele M. Nicolas Germany 7 251 0.6× 293 0.8× 333 1.3× 195 0.9× 177 2.8× 8 767
Jacek Mackiewicz Poland 15 178 0.4× 292 0.8× 397 1.5× 212 1.0× 107 1.7× 37 745
Yannick Verhoeven Belgium 10 170 0.4× 326 0.9× 349 1.4× 164 0.8× 81 1.3× 13 709
Lingzhi Wang China 14 171 0.4× 185 0.5× 410 1.6× 257 1.2× 111 1.8× 27 710
Longjiang Xu China 10 195 0.5× 185 0.5× 292 1.1× 240 1.1× 55 0.9× 22 621
Fatemeh Karimi Dermani Iran 7 145 0.3× 291 0.8× 247 1.0× 132 0.6× 73 1.2× 8 587
Miaomiao Shao China 15 245 0.6× 151 0.4× 458 1.8× 233 1.1× 65 1.0× 33 742
Shannon Loftus United States 7 277 0.6× 355 1.0× 148 0.6× 66 0.3× 33 0.5× 11 625
Yuen Yuen Hong Kong 14 209 0.5× 166 0.5× 253 1.0× 137 0.6× 44 0.7× 16 671
Yueping Sun China 12 257 0.6× 192 0.5× 330 1.3× 101 0.5× 42 0.7× 20 718

Countries citing papers authored by Alok Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Alok Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alok Kumar

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

All Works

11 of 11 papers shown
1.
Kumar, Alok, et al.. (2024). Postprandial changes to systemic metabolism imprint durable changes on T cell immune responses. The Journal of Immunology. 212(1_Supplement). 1397_4724–1397_4724. 1 indexed citations
2.
Kumar, Alok & Greg M. Delgoffe. (2023). Redox and detox: Malate shuttle metabolism keeps exhausted T cells fit. Cell Metabolism. 35(12). 2101–2103. 4 indexed citations
3.
Lontos, Konstantinos, Yiyang Wang, Andrew Frisch, et al.. (2023). Metabolic reprogramming via an engineered PGC-1α improves human chimeric antigen receptor T-cell therapy against solid tumors. Journal for ImmunoTherapy of Cancer. 11(3). e006522–e006522. 59 indexed citations
4.
Kumar, Alok & Aswathy Ravindran Girija. (2022). Bionanotechnology in Cancer. 6 indexed citations
5.
Lontos, Konstantinos, Yiyang Wang, Alok Kumar, et al.. (2022). Fully murine CD105-targeted CAR-T cells provide an immunocompetent model for CAR-T cell biology. OncoImmunology. 11(1). 2131229–2131229. 3 indexed citations
6.
Kumar, Alok, Kenji Chamoto, Partha S. Chowdhury, & Tasuku Honjo. (2020). Tumors attenuating the mitochondrial activity in T cells escape from PD-1 blockade therapy. eLife. 9. 41 indexed citations
7.
Kumar, Alok & Kenji Chamoto. (2020). Immune metabolism in PD-1 blockade-based cancer immunotherapy. International Immunology. 33(1). 17–26. 38 indexed citations
8.
Kumar, Alok, T. Hidaka, Masanobu Horie, et al.. (2019). Targeted suppression of metastasis regulatory transcription factor SOX2 in various cancer cell lines using a sequence-specific designer pyrrole–imidazole polyamide. Bioorganic & Medicinal Chemistry. 28(3). 115248–115248. 15 indexed citations
9.
Chowdhury, Partha S., Kenji Chamoto, Alok Kumar, & Tasuku Honjo. (2018). PPAR-Induced Fatty Acid Oxidation in T Cells Increases the Number of Tumor-Reactive CD8+ T Cells and Facilitates Anti–PD-1 Therapy. Cancer Immunology Research. 6(11). 1375–1387. 268 indexed citations breakdown →
10.
11.
Chamoto, Kenji, Partha S. Chowdhury, Alok Kumar, et al.. (2017). Mitochondrial activation chemicals synergize with surface receptor PD-1 blockade for T cell-dependent antitumor activity. Proceedings of the National Academy of Sciences. 114(5). E761–E770. 314 indexed citations breakdown →

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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