Senthilkumar Ramamoorthy
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- CRISPR and Genetic Engineering 4
- Genomics and Phylogenetic Studies 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 (7 shared papers)Robert Nechanitzky (2 shared papers)Sören Boller (4 shared papers)Thomas Hoyler (1 shared paper)Stefanie Scherer (1 shared paper)Ildikó Győry (1 shared paper)Andreas Diefenbach (1 shared paper)
- Journals
- Genes & Development (4 papers)BMC Genomics (3 papers)Journal of Applied Crystallography (2 papers)Nature Immunology (2 papers)Gene (1 paper)
- Partner nations
- GermanyIndiaUnited States
In The Last Decade
Senthilkumar Ramamoorthy
22 papers receiving 699 citations
Peers
Comparison fields: 5 of 79
- Immunology 215
- Aging 13
- Molecular Biology 471
- Hematology 66
- Cancer Research 52
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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 147 | |
| 2 | 2016 | 88 | |
| 3 | 2018 | 62 | |
| 4 | 2012 | 57 | |
| 5 | 2009 | 50 | |
| 6 | 2018 | 49 | |
| 7 | 2007 | 40 | |
| 8 | 2020 | 29 | |
| 9 | 2016 | 24 | |
| 10 | 2010 | 24 | |
| 11 | 2020 | 22 | |
| 12 | 2008 | 21 | |
| 13 | 2010 | 20 | |
| 14 | 2011 | 16 | |
| 15 | 2015 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2014 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 4 | |
| 20 | 2018 | 4 |
About Senthilkumar Ramamoorthy
Senthilkumar Ramamoorthy is a scholar working on Molecular Biology, Immunology, Hematology, Plant Science and Cancer Research, having authored 26 papers that have together received 705 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (4 papers), Immune Cell Function and Interaction (4 papers), Genomics and Phylogenetic Studies (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Immunology (215 citations), Aging (13 citations), Molecular Biology (471 citations), Hematology (66 citations) and Cancer Research (52 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, Thomas Hoyler, Stefanie Scherer, Ildikó Győry, Andreas Diefenbach, Pierre Cauchy and Sreesankar Easwaran. Their work appears in journals such as Genes & Development, BMC Genomics, Journal of Applied Crystallography, Nature Immunology and Gene.
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.