Anup Kumar
Impact in
-
- Cardiomyopathy and Myosin Studies
- Cardiac Fibrosis and Remodeling
Papers in
-
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Protein Structure and Dynamics 2
-
- Computational Drug Discovery Methods 2
- Co-authors
- M.A.Q. Siddiqui (3 shared papers)Björn Grüning (7 shared papers)Shyamal K. Goswami (1 shared paper)Simon Bray (2 shared papers)Rong‐Fong Shen (1 shared paper)Eduardo Mascareno (1 shared paper)Xavier Lucas (1 shared paper)Meijuan Zhou (2 shared papers)
- Journals
- GigaScience (3 papers)Molecular and Cellular Biology (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Journal of Cheminformatics (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Anup Kumar
15 papers receiving 171 citations
Peers
Comparison fields: 5 of 56
- Cardiology and Cardiovascular Medicine 37
- Computational Mathematics 1
- Molecular Biology 106
- Computational Theory and Mathematics 20
- Aging 2
Countries citing papers authored by Anup Kumar
This map shows the geographic impact of Anup 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 Anup Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anup Kumar more than expected).
Fields of papers citing papers by Anup Kumar
This network shows the impact of papers produced by Anup 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 Anup Kumar. The network helps show where Anup Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Anup 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 | 1991 | 44 | |
| 2 | 2020 | 31 | |
| 3 | 1992 | 24 | |
| 4 | 2024 | 16 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 4 | |
| 11 | Mechanism of tissue-specific transcription: interplay between positive and negative regulatory factors. | 1992 | 4 |
| 12 | 2023 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 0 |
About Anup Kumar
Anup Kumar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Surgery and Pharmacology, having authored 16 papers that have together received 172 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Machine Learning in Materials Science (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Artificial Intelligence in Healthcare (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (37 citations), Computational Mathematics (1 citation), Molecular Biology (106 citations), Computational Theory and Mathematics (20 citations) and Aging (2 citations). Anup Kumar has collaborated with scholars based in Germany, United States and India. Frequent co-authors include M.A.Q. Siddiqui, Björn Grüning, Shyamal K. Goswami, Simon Bray, Rong‐Fong Shen, Eduardo Mascareno, Xavier Lucas, Meijuan Zhou, E. Lin and Pankaj Qasba. Their work appears in journals such as GigaScience, Molecular and Cellular Biology, International Journal of Radiation Oncology*Biology*Physics, Journal of Cheminformatics and Journal of Chemical Theory and Computation.
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.