Parimal Kumar
Impact in
- Immunology top 10%
- Immune cells in cancer
- interferon and immune responses
- Phagocytosis and Immune Regulation
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
Papers in
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- Immunotherapy and Immune Responses 2
- Phagocytosis and Immune Regulation 2
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- RNA modifications and cancer 2
- Single-cell and spatial transcriptomics 2
- Insect Resistance and Genetics 1
- CRISPR and Genetic Engineering 1
- Co-authors
- Christopher U.T. Hellen (3 shared papers)Trevor R. Sweeney (1 shared paper)Tatyana V. Pestova (1 shared paper)Olga V. Skabkina (1 shared paper)Maxim A. Skabkin (1 shared paper)Mukta Asnani (1 shared paper)Shunsuke Imai (1 shared paper)Victoria M. D’Souza (1 shared paper)
- Journals
- Science Translational Medicine (1 paper)Genes (1 paper)Nature Biotechnology (1 paper)Nature Structural & Molecular Biology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Parimal Kumar
10 papers receiving 750 citations
Peers
Comparison fields: 5 of 77
- Immunology 311
- Molecular Biology 376
- Oncology 125
- Cancer Research 59
- Cardiology and Cardiovascular Medicine 84
Countries citing papers authored by Parimal Kumar
This map shows the geographic impact of Parimal Kumar'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 Parimal Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parimal Kumar more than expected).
Fields of papers citing papers by Parimal Kumar
This network shows the impact of papers produced by Parimal Kumar. 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 Parimal Kumar. The network helps show where Parimal Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Parimal Kumar, 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 | 2020 | 323 | |
| 2 | 2013 | 166 | |
| 3 | 2020 | 75 | |
| 4 | 2015 | 59 | |
| 5 | 2016 | 51 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 8 |
About Parimal Kumar
Parimal Kumar is a scholar working on Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research and Infectious Diseases, having authored 10 papers that have together received 762 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Viral Infections and Immunology Research (2 papers), Phagocytosis and Immune Regulation (2 papers), Single-cell and spatial transcriptomics (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Insect Resistance and Genetics (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (311 citations), Molecular Biology (376 citations), Oncology (125 citations), Cancer Research (59 citations) and Cardiology and Cardiovascular Medicine (84 citations). Parimal Kumar has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Christopher U.T. Hellen, Trevor R. Sweeney, Tatyana V. Pestova, Olga V. Skabkina, Maxim A. Skabkin, Mukta Asnani, Shunsuke Imai, Victoria M. D’Souza, Gerhard H. Wagner and Andrew A. Farmer. Their work appears in journals such as Science Translational Medicine, Genes, Nature Biotechnology, Nature Structural & Molecular Biology and Nucleic Acids Research.
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.