Raj Kumar
- Genetics top 2%
- Estrogen and related hormone effects 32
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 12
- Retinoids in leukemia and cellular processes 9
- Protein Structure and Dynamics 6
- Biochemical and Structural Characterization 6
- Protein Kinase Regulation and GTPase Signaling 6
- Toxicology top 2%
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- Botulinum Toxin and Related Neurological Disorders 14
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- Computational Drug Discovery Methods 10
- Co-authors
- E. Brad ThompsonNihal AhmadShagufta H. KhanIain J. McEwanJun LingHani AtamnaPrahlad K. SethAshok Agarwal
- Cited by
- GeneticsMolecular BiologyToxicology
- Journals
- Journal of Biomolecular Structure and Dynamics (5 papers)Archives of Biochemistry and Biophysics (4 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Raj Kumar
133 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 148
- Genetics 1.1k
- Molecular Biology 2.1k
- Toxicology 76
- Endocrinology, Diabetes and Metabolism 359
- Cellular and Molecular Neuroscience 370
Countries citing papers authored by Raj Kumar
This map shows the geographic impact of Raj 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 Raj Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raj Kumar more than expected).
Fields of papers citing papers by Raj Kumar
This network shows the impact of papers produced by Raj 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 Raj Kumar. The network helps show where Raj Kumar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raj 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 10 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 17 | |
| 10 | 2017 | 3 | |
| 11 | 2017 | 13 | |
| 12 | 2016 | 29 | |
| 13 | 2015 | 6 | |
| 14 | 2013 | 42 | |
| 15 | 2011 | 76 | |
| 16 | 2010 | 14 | |
| 17 | 2010 | 99 | |
| 18 | 2007 | 26 | |
| 19 | 1996 | 11 | |
| 20 | 1991 | 6 |
About Raj Kumar
Raj Kumar is a scholar working on Genetics, Molecular Biology, Neurology, Cell Biology and Cellular and Molecular Neuroscience, having authored 136 papers that have together received 3.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (32 papers), Botulinum Toxin and Related Neurological Disorders (14 papers), Receptor Mechanisms and Signaling (12 papers), Computational Drug Discovery Methods (10 papers), Retinoids in leukemia and cellular processes (9 papers), Protein Structure and Dynamics (6 papers), Biochemical and Structural Characterization (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). The work is most often cited by research in Genetics (1.1k citations), Molecular Biology (2.1k citations), Toxicology (76 citations), Endocrinology, Diabetes and Metabolism (359 citations) and Cellular and Molecular Neuroscience (370 citations). Raj Kumar has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include E. Brad Thompson, Nihal Ahmad, Shagufta H. Khan, Iain J. McEwan, Jun Ling, Hani Atamna, Prahlad K. Seth, Ashok Agarwal, Faizan Ahmad and D. Wayne Bolen. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Molecular Endocrinology and IUBMB Life.
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.