Himansu Kumar
Impact in
- Animal Science and Zoology top 10%
- Animal Nutrition and Physiology
- Effects of Environmental Stressors on Livestock
-
- Gut microbiota and health
Papers in
-
- Genomics and Phylogenetic Studies 4
- Bioinformatics and Genomic Networks 4
- Oncology 6
- HER2/EGFR in Cancer Research 3
- Co-authors
- Pritish Kumar Varadwaj (16 shared papers)Utkarsh Raj (14 shared papers)Saurabh Gupta (12 shared papers)Jong‐Eun Park (10 shared papers)Krishnamoorthy Srikanth (8 shared papers)Dajeong Lim (6 shared papers)Pora Kim (8 shared papers)Woncheoul Park (3 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Journal of Biomolecular Structure and Dynamics (4 papers)Animals (3 papers)Scientific Reports (2 papers)Genes (2 papers)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Himansu Kumar
36 papers receiving 451 citations
Peers
Comparison fields: 5 of 84
- Animal Science and Zoology 69
- Molecular Biology 231
- Computational Theory and Mathematics 50
- Cancer Research 42
- Hematology 28
Countries citing papers authored by Himansu Kumar
This map shows the geographic impact of Himansu 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 Himansu Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Himansu Kumar more than expected).
Fields of papers citing papers by Himansu Kumar
This network shows the impact of papers produced by Himansu 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 Himansu Kumar. The network helps show where Himansu Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Himansu 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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 42 | |
| 2 | 2019 | 33 | |
| 3 | 2015 | 32 | |
| 4 | 2019 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 25 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2015 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2015 | 18 | |
| 12 | 2015 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2019 | 13 | |
| 16 | 2013 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2015 | 12 | |
| 19 | 2019 | 10 | |
| 20 | 2023 | 9 |
About Himansu Kumar
Himansu Kumar is a scholar working on Molecular Biology, Oncology, Plant Science, Computational Theory and Mathematics and Hematology, having authored 39 papers that have together received 456 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Genomics and Phylogenetic Studies (4 papers), Bioinformatics and Genomic Networks (4 papers), Genetic and phenotypic traits in livestock (3 papers), Probiotics and Fermented Foods (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Animal Science and Zoology (69 citations), Molecular Biology (231 citations), Computational Theory and Mathematics (50 citations), Cancer Research (42 citations) and Hematology (28 citations). Himansu Kumar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Pritish Kumar Varadwaj, Utkarsh Raj, Saurabh Gupta, Jong‐Eun Park, Krishnamoorthy Srikanth, Dajeong Lim, Pora Kim, Woncheoul Park, Jun‐Mo Kim and A. R. Rao. Their work appears in journals such as Nucleic Acids Research, Journal of Biomolecular Structure and Dynamics, Animals, Scientific Reports and Genes.
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.