Parimal Kumar
Impact in
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- interferon and immune responses
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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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- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 2
- RNA Research and Splicing 2
- Single-cell and spatial transcriptomics 1
- Extracellular vesicles in disease 1
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- Viral Infections and Immunology Research 2
- Co-authors
- Christopher U.T. Hellen (4 shared papers)Tatyana V. Pestova (2 shared papers)Maxim A. Skabkin (1 shared paper)Olga V. Skabkina (1 shared paper)Trevor R. Sweeney (1 shared paper)Mukta Asnani (1 shared paper)Gerhard Wagner (1 shared paper)Shunsuke Imai (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)Genes & Development (1 paper)Virology (1 paper)Science Immunology (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Parimal Kumar
7 papers receiving 419 citations
Peers
Comparison fields: 5 of 53
- Immunology 100
- Molecular Biology 306
- Cardiology and Cardiovascular Medicine 91
- Infectious Diseases 71
- Animal Science and Zoology 27
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 | 2013 | 158 | |
| 2 | 2016 | 94 | |
| 3 | 2020 | 61 | |
| 4 | 2015 | 52 | |
| 5 | 2016 | 47 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 4 |
About Parimal Kumar
Parimal Kumar is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Infectious Diseases and Plant Science, having authored 7 papers that have together received 423 indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers), Viral Infections and Immunology Research (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), interferon and immune responses (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Immunology (100 citations), Molecular Biology (306 citations), Cardiology and Cardiovascular Medicine (91 citations), Infectious Diseases (71 citations) and Animal Science and Zoology (27 citations). Parimal Kumar has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include Christopher U.T. Hellen, Tatyana V. Pestova, Maxim A. Skabkin, Olga V. Skabkina, Trevor R. Sweeney, Mukta Asnani, Gerhard Wagner, Shunsuke Imai, Victoria D′Souza and Yongmei Zhao. Their work appears in journals such as Nucleic Acids Research, Genes & Development, Virology, Science Immunology and Nature Biotechnology.
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.