Anup Kumar
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Muscle Physiology and Disorders
- Congenital heart defects research
- RNA modifications and cancer
Papers in
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- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- Protein Structure and Dynamics 2
- Single-cell and spatial transcriptomics 1
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- Machine Learning in Materials Science 3
- Co-authors
- Björn Grüning (7 shared papers)M.A.Q. Siddiqui (3 shared papers)Shyamal K. Goswami (1 shared paper)Eduardo Mascareno (1 shared paper)Simon Bray (2 shared papers)Xavier Lucas (1 shared paper)Meijuan Zhou (2 shared papers)E. Lin (1 shared paper)
- Journals
- GigaScience (3 papers)Molecular and Cellular Biology (2 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)International Journal of Microbiology Research (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Anup Kumar
15 papers receiving 167 citations
Peers
Comparison fields: 5 of 58
- Computational Mathematics 1
- Molecular Biology 114
- Cardiology and Cardiovascular Medicine 37
- Information Systems and Management 11
- Computational Theory and Mathematics 20
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 | 23 | |
| 4 | 2024 | 15 | |
| 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 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 |
About Anup Kumar
Anup Kumar is a scholar working on Molecular Biology, Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 168 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Machine Learning in Materials Science (3 papers), RNA Research and Splicing (3 papers), Cell Image Analysis Techniques (2 papers), Computational Drug Discovery Methods (2 papers), Protein Structure and Dynamics (2 papers), Machine Learning and Data Classification (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Computational Mathematics (1 citation), Molecular Biology (114 citations), Cardiology and Cardiovascular Medicine (37 citations), Information Systems and Management (11 citations) and Computational Theory and Mathematics (20 citations). Anup Kumar has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Björn Grüning, M.A.Q. Siddiqui, Shyamal K. Goswami, Eduardo Mascareno, Simon Bray, Xavier Lucas, Meijuan Zhou, E. Lin, Rolf Backofen and Pankaj Qasba. Their work appears in journals such as GigaScience, Molecular and Cellular Biology, International Journal of Radiation Oncology*Biology*Physics, International Journal of Microbiology Research and PLoS Computational Biology.
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.