Ramya Sivakumar
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Immune Response and Inflammation 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Oncology 3
- Chemokine receptors and signaling 1
- Co-authors
- Laurence Morel (4 shared papers)Wei Li (2 shared papers)Anton A. Titov (2 shared papers)Seung‐Chul Choi (2 shared papers)Marina Chan (1 shared paper)Nao Nishida‐Aoki (1 shared paper)Heidi L. Kenerson (1 shared paper)Olivier Elemento (1 shared paper)
- Journals
- Frontiers in Immunology (2 papers)OncoImmunology (1 paper)Current Rheumatology Reports (1 paper)Arthritis Research & Therapy (1 paper)Critical Reviews in Immunology (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Ramya Sivakumar
8 papers receiving 174 citations
Peers
Comparison fields: 5 of 43
- Immunology 93
- Oncology 61
- Rheumatology 31
- Cancer Research 21
- Biophysics 7
Countries citing papers authored by Ramya Sivakumar
This map shows the geographic impact of Ramya Sivakumar'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 Ramya Sivakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramya Sivakumar more than expected).
Fields of papers citing papers by Ramya Sivakumar
This network shows the impact of papers produced by Ramya Sivakumar. 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 Ramya Sivakumar. The network helps show where Ramya Sivakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramya Sivakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 65 | |
| 2 | 2016 | 30 | |
| 3 | 2021 | 22 | |
| 4 | 2016 | 21 | |
| 5 | 2012 | 18 | |
| 6 | 2013 | 12 | |
| 7 | 2014 | 5 | |
| 8 | 2018 | 3 |
About Ramya Sivakumar
Ramya Sivakumar is a scholar working on Immunology, Oncology, Rheumatology, Molecular Biology and Epidemiology, having authored 8 papers that have together received 176 indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), Systemic Lupus Erythematosus Research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Single-cell and spatial transcriptomics (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Immunology (93 citations), Oncology (61 citations), Rheumatology (31 citations), Cancer Research (21 citations) and Biophysics (7 citations). Ramya Sivakumar has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Laurence Morel, Wei Li, Anton A. Titov, Seung‐Chul Choi, Marina Chan, Nao Nishida‐Aoki, Heidi L. Kenerson, Olivier Elemento, Raymond S. Yeung and Taranjit S. Gujral. Their work appears in journals such as Frontiers in Immunology, OncoImmunology, Current Rheumatology Reports, Arthritis Research & Therapy and Critical Reviews in Immunology.
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.