Samik Basu

1.9k total citations · 1 hit paper
15 papers, 909 citations indexed

About

Samik Basu is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Samik Basu has authored 15 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Samik Basu's work include CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (5 papers). Samik Basu is often cited by papers focused on CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (5 papers). Samik Basu collaborates with scholars based in United States, Denmark and Germany. Samik Basu's co-authors include James L. Riley, Tatiana N. Golovina, Carl H. June, Tatiana Mikheeva, Bin Li, Kathryn T. Iacono, Xiaomin Song, Wayne W. Hancock, Arabinda Samanta and Ran Tao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

Samik Basu

13 papers receiving 898 citations

Hit Papers

Precision targeting of autoantigen-specific B cells in mu... 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Precision targeting of autoantigen-specific B cells in muscle-specific tyrosine kinase myasthenia gravis with chimeric autoantibody receptor T cells
    2023 107 citations Sangwook Oh, Xuming Mao et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samik Basu United States 11 613 260 259 73 73 15 909
Barbara Metzler Switzerland 14 656 1.1× 208 0.8× 137 0.5× 47 0.6× 82 1.1× 19 978
Adeline Crinier France 8 874 1.4× 202 0.8× 293 1.1× 49 0.7× 39 0.5× 10 1.1k
Benjamin E. Rich United States 15 390 0.6× 238 0.9× 151 0.6× 77 1.1× 46 0.6× 29 757
Yuko Nagamura Japan 12 469 0.8× 289 1.1× 216 0.8× 138 1.9× 64 0.9× 20 935
Akanksha Mittal United States 7 436 0.7× 234 0.9× 123 0.5× 52 0.7× 61 0.8× 8 777
Louise M. D’Cruz United States 16 1.6k 2.5× 224 0.9× 278 1.1× 98 1.3× 131 1.8× 27 1.8k
Kresten Skak Denmark 18 839 1.4× 192 0.7× 517 2.0× 110 1.5× 143 2.0× 37 1.2k
Kazuhisa Nozawa Japan 17 312 0.5× 268 1.0× 98 0.4× 67 0.9× 78 1.1× 40 756
N Karin Israel 13 617 1.0× 230 0.9× 144 0.6× 31 0.4× 140 1.9× 18 941
Aurélien Sarde United Kingdom 8 645 1.1× 159 0.6× 290 1.1× 26 0.4× 35 0.5× 12 932

Countries citing papers authored by Samik Basu

Since Specialization
Citations

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

Fields of papers citing papers by Samik Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samik Basu

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

All Works

15 of 15 papers shown
1.
Sheikh, Saira Z., Vimal K. Derebail, Gaurav Gulati, et al.. (2025). RESET SLE: CLINICAL TRIAL EVALUATING CABA-201, A FULLY HUMAN, AUTOLOGOUS 4-1BB ANTI-CD19 CAR T CELL THERAPY IN NONRENAL SLE AND LUPUS NEPHRITIS. The Journal of Rheumatology. 52(Suppl 1). 27–27.
2.
Mozaffar, Tahseen, Jason Stadanlick, Alexandra G. Ellis, et al.. (2024). Case study of CD19 CAR T therapy in a subject with immune-mediate necrotizing myopathy treated in the RESET-Myositis phase I/II trial. Molecular Therapy. 32(11). 3821–3828. 17 indexed citations
3.
Weinthal, Joel, Chien‐Chung Chen, Yan Li, et al.. (2024). Preclinical Specificity and Activity of CABA-201, a Fully Human 41BB Containing CD19 CAR T Therapy for Treatment-Resistant Autoimmune Disease. Transplantation and Cellular Therapy. 30(2). S152–S152.
4.
Oh, Sangwook, Xuming Mao, Sílvio M. Vieira, et al.. (2023). Precision targeting of autoantigen-specific B cells in muscle-specific tyrosine kinase myasthenia gravis with chimeric autoantibody receptor T cells. Nature Biotechnology. 41(9). 1229–1238. 107 indexed citations breakdown →
5.
Müller, Fabian, Michael Aigner, Simon Völkl, et al.. (2023). Cytokine and reactivity profiles in SLE patients following anti-CD19 CART therapy. Molecular Therapy — Methods & Clinical Development. 31. 101104–101104. 28 indexed citations
6.
Pinheiro, Elaine M., Ruban Mangadu, Uyen Phan, et al.. (2015). Abstract 269: Evaluation of the antitumor activity of anti-PD-1 immunotherapy as a single agent and in combination with approved agents in preclinical tumor models. Cancer Research. 75(15_Supplement). 269–269. 1 indexed citations
7.
Shin, Daniel S., Ayana Jordan, Samik Basu, et al.. (2014). Regulatory T cells suppress CD 4 + T cells through NFAT ‐dependent transcriptional mechanisms. EMBO Reports. 15(9). 991–999. 33 indexed citations
8.
Basu, Samik, et al.. (2014). Foxp3-mediated inhibition of Akt inhibits Glut1 (glucose transporter 1) expression in human T regulatory cells. Journal of Leukocyte Biology. 97(2). 279–283. 58 indexed citations
9.
Baine, Ian, et al.. (2012). Helios Induces Epigenetic Silencing of Il2 Gene Expression in Regulatory T Cells. The Journal of Immunology. 190(3). 1008–1016. 83 indexed citations
10.
Sambol, Anthony R., Peter C. Iwen, Maura Pieretti, et al.. (2010). Validation of the Cepheid Xpert Flu A Real Time RT-PCR detection panel for Emergency Use Authorization. Journal of Clinical Virology. 48(4). 234–238. 23 indexed citations
11.
Basu, Samik, Tatiana N. Golovina, Tatiana Mikheeva, Carl H. June, & James L. Riley. (2008). Cutting Edge: Foxp3-Mediated Induction of Pim 2 Allows Human T Regulatory Cells to Preferentially Expand in Rapamycin. The Journal of Immunology. 180(9). 5794–5798. 148 indexed citations
12.
Kasprzycka, Monika, Qian Zhang, Agnieszka K. Witkiewicz, et al.. (2008). γc-Signaling Cytokines Induce a Regulatory T Cell Phenotype in Malignant CD4+ T Lymphocytes. The Journal of Immunology. 181(4). 2506–2512. 50 indexed citations
13.
Paulos, Chrystal M., Megan M. Suhoski, Gabriela Plesa, et al.. (2008). Adoptive immunotherapy: good habits instilled at youth have long-term benefits. Immunologic Research. 42(1-3). 182–196. 36 indexed citations
14.
Riley, James L., Samik Basu, Tatiana N. Golovina, Tatiana Mikheeva, & Carl H. June. (2008). FoxP3 Mediated Induction of Pim 2 Allows T Regulatory Cells to Preferentially Expand in Rapamycin. The FASEB Journal. 22(S1). 1 indexed citations
15.
Li, Bin, Arabinda Samanta, Xiaomin Song, et al.. (2007). FOXP3 interactions with histone acetyltransferase and class II histone deacetylases are required for repression. Proceedings of the National Academy of Sciences. 104(11). 4571–4576. 324 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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