Senthilkumar Ramamoorthy

1.1k total citations
26 papers, 705 citations indexed

About

Senthilkumar Ramamoorthy is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Senthilkumar Ramamoorthy has authored 26 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Hematology. Recurrent topics in Senthilkumar Ramamoorthy's work include T-cell and B-cell Immunology (7 papers), Acute Myeloid Leukemia Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Senthilkumar Ramamoorthy is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Acute Myeloid Leukemia Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Senthilkumar Ramamoorthy collaborates with scholars based in Germany, India and United States. Senthilkumar Ramamoorthy's co-authors include Rudolf Grosschedl, Rakesh K. Mishra, Robert Nechanitzky, Sören Boller, Ildikó Győry, Thomas Hoyler, Andreas Diefenbach, Stefanie Scherer, Pierre Cauchy and Hyeon‐Woo Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

In The Last Decade

Senthilkumar Ramamoorthy

22 papers receiving 699 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senthilkumar Ramamoorthy Germany 14 471 215 89 66 66 26 705
Julita Ramírez United States 14 422 0.9× 244 1.1× 59 0.7× 58 0.9× 92 1.4× 15 672
Ido Tamir Austria 7 557 1.2× 319 1.5× 74 0.8× 54 0.8× 90 1.4× 7 800
Kevin A. Hoegenauer United States 10 296 0.6× 105 0.5× 62 0.7× 150 2.3× 62 0.9× 15 481
Shaina N. Porter United States 14 597 1.3× 181 0.8× 93 1.0× 108 1.6× 124 1.9× 21 758
Fraser McBlane United States 12 600 1.3× 309 1.4× 146 1.6× 77 1.2× 121 1.8× 17 852
Vasco Oliveira United States 10 635 1.3× 216 1.0× 182 2.0× 85 1.3× 40 0.6× 15 829
Diane Giannola United States 11 345 0.7× 180 0.8× 82 0.9× 198 3.0× 121 1.8× 18 665
Ruth Williams United Kingdom 9 672 1.4× 150 0.7× 42 0.5× 41 0.6× 160 2.4× 23 865
Monika Lichtinger United Kingdom 13 485 1.0× 292 1.4× 65 0.7× 151 2.3× 44 0.7× 17 750
Amy Goodale United States 9 664 1.4× 80 0.4× 159 1.8× 33 0.5× 68 1.0× 16 861

Countries citing papers authored by Senthilkumar Ramamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by Senthilkumar Ramamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senthilkumar Ramamoorthy

This figure shows the co-authorship network connecting the top 25 collaborators of Senthilkumar Ramamoorthy. A scholar is included among the top collaborators of Senthilkumar Ramamoorthy 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 Senthilkumar Ramamoorthy. Senthilkumar Ramamoorthy 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.
Wu, Ying, Venugopal R. Mittapalli, Julia Mergner, et al.. (2025). Oncogenic and microenvironmental signals drive cell type specific apoptosis resistance in juvenile myelomonocytic leukemia. Cell Death and Disease. 16(1). 165–165.
2.
Ramamoorthy, Senthilkumar, Haribaskar Ramachandran, Fei Ma, et al.. (2024). YY1-mediated enhancer-promoter communication in the immunoglobulin μ locus is regulated by MSL/MOF recruitment. Cell Reports. 43(7). 114456–114456. 2 indexed citations
3.
Ramamoorthy, Senthilkumar, Eirini Trompouki, Wolfgang Driever, et al.. (2024). Assessment of a novel NRAS in-frame tandem duplication causing a myelodysplastic/myeloproliferative neoplasm. Experimental Hematology. 133. 104207–104207. 1 indexed citations
4.
Andreani, Virginia, Senthilkumar Ramamoorthy, Reinhard Fässler, & Rudolf Grosschedl. (2022). Integrin β1 regulates marginal zone B cell differentiation and PI3K signaling. The Journal of Experimental Medicine. 220(1). 10 indexed citations
5.
Ramamoorthy, Senthilkumar, et al.. (2022). Dynamics of nuclear matrix attachment regions during 5th instar posterior silk gland development in Bombyx mori. BMC Genomics. 23(1). 247–247. 4 indexed citations
6.
Ramachandran, Haribaskar, Pierre Cauchy, Kyung-Jin Boo, et al.. (2021). ZFP451-mediated SUMOylation of SATB2 drives embryonic stem cell differentiation. Genes & Development. 35(15-16). 1142–1160. 12 indexed citations
7.
Ramamoorthy, Senthilkumar, Kohei Kometani, Josip S. Herman, et al.. (2020). EBF1 and Pax5 safeguard leukemic transformation by limiting IL-7 signaling, Myc expression, and folate metabolism. Genes & Development. 34(21-22). 1503–1519. 22 indexed citations
8.
Derecka, Marta, Josip S. Herman, Pierre Cauchy, et al.. (2020). EBF1-deficient bone marrow stroma elicits persistent changes in HSC potential. Nature Immunology. 21(3). 261–273. 29 indexed citations
9.
Li, Rui, Pierre Cauchy, Senthilkumar Ramamoorthy, et al.. (2018). Dynamic EBF1 occupancy directs sequential epigenetic and transcriptional events in B-cell programming. Genes & Development. 32(2). 96–111. 62 indexed citations
10.
11.
Yang, Chengyuan, Senthilkumar Ramamoorthy, Sören Boller, et al.. (2016). Interaction of CCR4–NOT with EBF1 regulates gene-specific transcription and mRNA stability in B lymphopoiesis. Genes & Development. 30(20). 2310–2324. 24 indexed citations
12.
Boller, Sören, Senthilkumar Ramamoorthy, Robert Nechanitzky, et al.. (2016). Pioneering Activity of the C-Terminal Domain of EBF1 Shapes the Chromatin Landscape for B Cell Programming. Immunity. 44(3). 527–541. 88 indexed citations
13.
Sowpati, Divya Tej, Senthilkumar Ramamoorthy, & Rakesh K. Mishra. (2015). Expansion of the polycomb system and evolution of complexity. Mechanisms of Development. 138. 97–112. 12 indexed citations
14.
15.
Nechanitzky, Robert, Stefanie Scherer, Ildikó Győry, et al.. (2013). Transcription factor EBF1 is essential for the maintenance of B cell identity and prevention of alternative fates in committed cells. Nature Immunology. 14(8). 867–875. 147 indexed citations
16.
Singh, Narendra Pratap, Surabhi Srivastava, Senthilkumar Ramamoorthy, et al.. (2011). Epigenetic profile of the euchromatic region of human Y chromosome. Nucleic Acids Research. 39(9). 3594–3606. 16 indexed citations
17.
Kumar, Ram, et al.. (2010). Repeat performance: how do genome packaging and regulation depend on simple sequence repeats?. BioEssays. 32(2). 165–174. 24 indexed citations
18.
Pathak, Rashmi U., et al.. (2010). Nuclear Matrix Proteome Analysis of Drosophila melanogaster. Molecular & Cellular Proteomics. 9(9). 2005–2018. 20 indexed citations
19.
Ramamoorthy, Senthilkumar & Rakesh K. Mishra. (2009). Novel motifs distinguish multiple homologues of Polycomb in vertebrates: expansion and diversification of the epigenetic toolkit. BMC Genomics. 10(1). 549–549. 50 indexed citations
20.
Ramamoorthy, Senthilkumar & Hyeon‐Woo Lee. (2008). CD137L- and RANKL-mediated reverse signals inhibit osteoclastogenesis and T lymphocyte proliferation. Immunobiology. 214(2). 153–161. 21 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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