Ranjan Sen

17.4k total citations · 6 hit papers
157 papers, 13.9k citations indexed

About

Ranjan Sen is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Ranjan Sen has authored 157 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Immunology, 68 papers in Molecular Biology and 43 papers in Cancer Research. Recurrent topics in Ranjan Sen's work include T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (55 papers) and NF-κB Signaling Pathways (43 papers). Ranjan Sen is often cited by papers focused on T-cell and B-cell Immunology (60 papers), Immune Cell Function and Interaction (55 papers) and NF-κB Signaling Pathways (43 papers). Ranjan Sen collaborates with scholars based in United States, India and Germany. Ranjan Sen's co-authors include David Baltimore, Harinder Singh, Phillip A. Sharp, Luigi Ferrucci, Arsun Bektas, Shepherd H. Schurman, Thomas Wirth, Louis M. Staudt, Winnie F. Tam and Dipanjan Chowdhury and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ranjan Sen

153 papers receiving 13.6k citations

Hit Papers

Multiple nuclear factors interact with the immunoglobulin... 1986 2026 1999 2012 1986 1986 1986 2013 1986 500 1000 1.5k 2.0k
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. Multiple nuclear factors interact with the immunoglobulin enhancer sequences
    1986 2.4k citations Ranjan Sen et al. profile →
  2. Inducibility of κ immunoglobulin enhancer-binding protein NF-κB by a posttranslational mechanism
    1986 1.7k citations Ranjan Sen et al. profile →
  3. A nuclear factor that binds to a conserved sequence motif in transcriptional control elements of immunoglobulin genes
    1986 1.1k citations Ranjan Sen et al. profile →
  4. Architectural Protein Subclasses Shape 3D Organization of Genomes during Lineage Commitment
    2013 871 citations Ranjan Sen et al. profile →
  5. A lymphoid-specific protein binding to the octamer motif of immunoglobulin genes
    1986 667 citations Ranjan Sen et al. profile →
  6. Tumor-Evoked Regulatory B Cells Promote Breast Cancer Metastasis by Converting Resting CD4+ T Cells to T-Regulatory Cells
    2011 519 citations Purevdorj B. Olkhanud, Bazarragchaa Damdinsuren et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranjan Sen United States 49 7.1k 6.5k 3.7k 1.9k 1.2k 157 13.9k
Harald Wajant Germany 65 8.8k 1.2× 6.8k 1.0× 3.8k 1.0× 2.9k 1.5× 675 0.6× 222 15.6k
Peter Scheurich Germany 57 6.0k 0.8× 6.2k 1.0× 2.7k 0.7× 2.0k 1.0× 695 0.6× 144 12.6k
Claus Scheidereit Germany 66 7.6k 1.1× 5.3k 0.8× 5.4k 1.4× 2.9k 1.5× 1.5k 1.3× 103 14.3k
Richard B. Gaynor United States 64 7.9k 1.1× 4.5k 0.7× 3.5k 0.9× 2.3k 1.2× 1.8k 1.6× 149 14.9k
Dimitris Thanos United States 46 7.2k 1.0× 5.0k 0.8× 3.6k 1.0× 2.3k 1.2× 1.1k 1.0× 99 12.7k
Yinon Ben‐Neriah Israel 55 10.1k 1.4× 6.5k 1.0× 5.9k 1.6× 4.1k 2.1× 1.2k 1.0× 114 19.1k
Vincent Bours Belgium 58 5.7k 0.8× 3.5k 0.5× 4.4k 1.2× 2.1k 1.1× 1.0k 0.9× 252 11.9k
Bing Su United States 59 11.0k 1.5× 5.6k 0.9× 3.1k 0.8× 2.7k 1.4× 1.2k 1.0× 178 17.7k
Hubert Hackl Austria 35 5.9k 0.8× 2.4k 0.4× 2.6k 0.7× 3.0k 1.5× 788 0.7× 169 11.9k
David M. Hockenbery United States 50 10.5k 1.5× 3.2k 0.5× 2.1k 0.6× 3.6k 1.9× 1.1k 0.9× 124 16.7k

Countries citing papers authored by Ranjan Sen

Since Specialization
Citations

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

Fields of papers citing papers by Ranjan Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranjan Sen

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjan Sen. A scholar is included among the top collaborators of Ranjan Sen 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 Ranjan Sen. Ranjan Sen 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.
Ma, Fei & Ranjan Sen. (2025). Physiological aging in three dimensions. Trends in Cell Biology. 36(3). 230–245.
2.
Moaddel, Ruin, Julián Candia, Ceereena Ubaida‐Mohien, et al.. (2025). Healthy Aging Metabolomic and Proteomic Signatures Across Multiple Physiological Compartments. Aging Cell. 24(6). e70014–e70014.
3.
Tharakan, Ravi, Ceereena Ubaida‐Mohien, Christopher Dunn, et al.. (2023). Whole‐genome methylation analysis of aging human tissues identifies age‐related changes in developmental and neurological pathways. Aging Cell. 22(7). e13847–e13847. 4 indexed citations
4.
Singh, Amit, Mary Kaileh, Supriyo De, et al.. (2023). Transcription factor TFII-I fine tunes innate properties of B lymphocytes. Frontiers in Immunology. 14. 1067459–1067459. 3 indexed citations
5.
Singh, Amit, Shepherd H. Schurman, Arsun Bektas, et al.. (2023). Aging and Inflammation. Cold Spring Harbor Perspectives in Medicine. 14(6). a041197–a041197. 72 indexed citations
6.
Sherman‐Baust, Cheryl A., Amit Singh, Mary Kaileh, et al.. (2023). NF-κB subunits direct kinetically distinct transcriptional cascades in antigen receptor-activated B cells. Nature Immunology. 24(9). 1552–1564. 14 indexed citations
7.
Moaddel, Ruin, Ceereena Ubaida‐Mohien, Toshiko Tanaka, et al.. (2023). Cross‐sectional analysis of healthy individuals across decades: Aging signatures across multiple physiological compartments. Aging Cell. 23(1). e13902–e13902. 7 indexed citations
8.
Singh, Amit, Matthew H. Spitzer, Mary Kaileh, et al.. (2022). Postmitotic G1 phase survivin drives mitogen-independent cell division of B lymphocytes. Proceedings of the National Academy of Sciences. 119(18). e2115567119–e2115567119. 8 indexed citations
9.
Chia, Chee W., Cheryl A. Sherman‐Baust, Sara A. Larson, et al.. (2021). Age‐associated expression of p21and p53 during human wound healing. Aging Cell. 20(5). e13354–e13354. 21 indexed citations
10.
Qiu, Xiang, Fei Ma, Mingming Zhao, et al.. (2020). Altered 3D chromatin structure permits inversional recombination at the IgH locus. Science Advances. 6(33). eaaz8850–eaaz8850. 14 indexed citations
11.
Iba, Michiyo, Changyoun Kim, Michelle A. Sallin, et al.. (2020). Neuroinflammation is associated with infiltration of T cells in Lewy body disease and α-synuclein transgenic models. Journal of Neuroinflammation. 17(1). 214–214. 70 indexed citations
12.
Olkhanud, Purevdorj B., Bazarragchaa Damdinsuren, Monica Bodogai, et al.. (2011). Tumor-Evoked Regulatory B Cells Promote Breast Cancer Metastasis by Converting Resting CD4+ T Cells to T-Regulatory Cells. Cancer Research. 71(10). 3505–3515. 519 indexed citations breakdown →
13.
Chakraborty, Tirtha, Dipanjan Chowdhury, Anant Jani, et al.. (2007). Repeat Organization and Epigenetic Regulation of the DH-Cμ Domain of the Immunoglobulin Heavy-Chain Gene Locus. Molecular Cell. 27(5). 842–850. 66 indexed citations
14.
Mittal, Akanksha, Salvatore Papa, Guido Franzoso, & Ranjan Sen. (2006). NF-κB-Dependent Regulation of the Timing of Activation-Induced Cell Death of T Lymphocytes. The Journal of Immunology. 176(4). 2183–2189. 33 indexed citations
15.
Ishii, Haruhiko, Ranjan Sen, & Michael J. Pazin. (2004). Combinatorial Control of DNase I-hypersensitive Site Formation and Erasure by Immunoglobulin Heavy Chain Enhancer-binding Proteins. Journal of Biological Chemistry. 279(8). 7331–7338. 6 indexed citations
16.
Chowdhury, Dipanjan & Ranjan Sen. (2004). Regulation of immunoglobulin heavy‐chain gene rearrangements. Immunological Reviews. 200(1). 182–196. 34 indexed citations
17.
Radhakrishnan, Suresh, Monika Vig, Sumeena Bhatia, et al.. (2002). Pentoxifylline Functions As an Adjuvant In Vivo to Enhance T Cell Immune Responses by Inhibiting Activation-Induced Death. The Journal of Immunology. 169(8). 4262–4272. 24 indexed citations
18.
Carvajal, Irvith M. & Ranjan Sen. (2000). Functional Analysis of the Murine TCRβ-Chain Gene Enhancer. The Journal of Immunology. 164(12). 6332–6339. 9 indexed citations
19.
Wang, W., Sudhir Gupta, Thomas V. Fungwe, Ranjan Sen, & Pramod Khosla. (1998). Conjugated linoleic acid inhibits cell proliferation, independent of NF-κB activation in D5H3 cells. The FASEB Journal. 12(5). 1 indexed citations
20.
Sen, Jyoti Misra, et al.. (1995). Expression and induction of nuclear factor-kappa B-related proteins in thymocytes.. The Journal of Immunology. 154(7). 3213–3221. 56 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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