Avinash Kumar
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 10%
- Rheumatology top 5%
- Hepatology top 5%
- Co-authors
- Srinivasan DasarathyGangarao DavuluriRitu TrivediRashmi PathakThomas W. GettysSubramanyam N. MurthyPhilip J. KadowitzNaibedya Chattopadhyay
- Topics
- Adipose Tissue and Metabolism (10 papers)Bone Metabolism and Diseases (10 papers)Ruminant Nutrition and Digestive Physiology (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- IndiaUnited StatesRussia
In The Last Decade
Avinash Kumar
76 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 748
- Physiology 504
- Epidemiology 267
- Rheumatology 207
- Hepatology 178
Countries citing papers authored by Avinash Kumar
This map shows the geographic impact of Avinash 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 Avinash Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Kumar more than expected).
Fields of papers citing papers by Avinash Kumar
This network shows the impact of papers produced by Avinash 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 Avinash Kumar. The network helps show where Avinash Kumar may publish in the future.
Co-authorship network of co-authors of Avinash Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Avinash Kumar. A scholar is included among the top collaborators of Avinash Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Avinash Kumar. Avinash Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | 19 | |
| 11 | 10 | |
| 12 | 82 | |
| 13 | 6 | |
| 14 | 64 | |
| 15 | 249 | |
| 16 | 8 | |
| 17 | 3 | |
| 18 | RP-HPLC and transcript profile indicate increased leaf caffeine in Coffea canephora plants by light | 11 |
| 19 | Phenotypic and Phylogenetic Characterization of Cellulose Degrading Bacteria Isolated from Rumen of Buffalo | 1 |
| 20 | 6 |
About Avinash Kumar
Avinash Kumar is a scholar working on Agronomy and Crop Science, Clinical Biochemistry and Cell Biology, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Bone Metabolism and Diseases (10 papers) and Ruminant Nutrition and Digestive Physiology (8 papers). The work is most often cited by research in Hepatology (178 citations), Physiology (504 citations) and Orthopedics and Sports Medicine (129 citations). Avinash Kumar has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Srinivasan Dasarathy, Gangarao Davuluri, Ritu Trivedi, Rashmi Pathak, Thomas W. Gettys, Subramanyam N. Murthy, Philip J. Kadowitz, Naibedya Chattopadhyay, Anil Kumar Dwivedi and Varsha Gupta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.