Senthilkumar Ramamoorthy
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Epigenetics and DNA Methylation 4
- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 3
- Genomics and Chromatin Dynamics 3
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- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 4
- Co-authors
- Rudolf Grosschedl (10 shared papers)Rakesh K. Mishra (6 shared papers)Robert Nechanitzky (2 shared papers)Sören Boller (4 shared papers)Ildikó Győry (1 shared paper)Stefanie Scherer (1 shared paper)Thomas Hoyler (1 shared paper)Andreas Diefenbach (1 shared paper)
- Journals
- Genes & Development (4 papers)BMC Genomics (3 papers)Nature Immunology (2 papers)British Journal of Haematology (1 paper)Experimental Hematology (1 paper)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Senthilkumar Ramamoorthy
20 papers receiving 667 citations
Peers
Comparison fields: 5 of 62
- Immunology 210
- Aging 14
- Hematology 65
- Molecular Biology 419
- Cancer Research 47
Countries citing papers authored by Senthilkumar Ramamoorthy
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
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-authors
The 25 scholars most cited alongside Senthilkumar Ramamoorthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 158 | |
| 2 | 2016 | 93 | |
| 3 | 2018 | 63 | |
| 4 | 2012 | 58 | |
| 5 | 2009 | 55 | |
| 6 | 2018 | 50 | |
| 7 | 2020 | 29 | |
| 8 | 2016 | 24 | |
| 9 | 2010 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2008 | 22 | |
| 12 | 2010 | 21 | |
| 13 | 2022 | 12 | |
| 14 | 2015 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2014 | 11 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Senthilkumar Ramamoorthy
Senthilkumar Ramamoorthy is a scholar working on Molecular Biology, Immunology, Hematology, Plant Science and Cancer Research, having authored 22 papers that have together received 673 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Acute Myeloid Leukemia Research (5 papers), Immune Cell Function and Interaction (4 papers), Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (4 papers), Ubiquitin and proteasome pathways (3 papers), Chromosomal and Genetic Variations (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Immunology (210 citations), Aging (14 citations), Hematology (65 citations), Molecular Biology (419 citations) and Cancer Research (47 citations). Senthilkumar Ramamoorthy has collaborated with scholars based in Germany, India and United States. Frequent co-authors include Rudolf Grosschedl, Rakesh K. Mishra, Robert Nechanitzky, Sören Boller, Ildikó Győry, Stefanie Scherer, Thomas Hoyler, Andreas Diefenbach, Pierre Cauchy and Dirk Schübeler. Their work appears in journals such as Genes & Development, BMC Genomics, Nature Immunology, British Journal of Haematology and Experimental Hematology.
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.