Anil Kumar Pasupulati
- Molecular Biology top 10%
- Clinical Biochemistry top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 5%
- Nephrology top 2%
- Co-authors
- G. Bhanuprakash ReddyRam K. MenonMukesh KumarPalla SuryanarayanaP. Yadagiri ReddyPrasad ChitraMoin A. SaleemDhanunjay Mukhi
- Topics
- Renal Diseases and Glomerulopathies (20 papers)Chronic Kidney Disease and Diabetes (17 papers)Advanced Glycation End Products research (15 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Anil Kumar Pasupulati
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 830
- Clinical Biochemistry 539
- Endocrinology, Diabetes and Metabolism 513
- Physiology 368
- Nephrology 349
Countries citing papers authored by Anil Kumar Pasupulati
This map shows the geographic impact of Anil Kumar Pasupulati'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 Anil Kumar Pasupulati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Kumar Pasupulati more than expected).
Fields of papers citing papers by Anil Kumar Pasupulati
This network shows the impact of papers produced by Anil Kumar Pasupulati. 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 Anil Kumar Pasupulati. The network helps show where Anil Kumar Pasupulati may publish in the future.
Co-authorship network of co-authors of Anil Kumar Pasupulati
This figure shows the co-authorship network connecting the top 25 collaborators of Anil Kumar Pasupulati. A scholar is included among the top collaborators of Anil Kumar Pasupulati 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 Anil Kumar Pasupulati. Anil Kumar Pasupulati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 13 | |
| 4 | 11 | |
| 5 | 30 | |
| 6 | 21 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 26 | |
| 12 | 26 | |
| 13 | 125 | |
| 14 | 31 | |
| 15 | 51 | |
| 16 | 2 | |
| 17 | 41 | |
| 18 | Delay of Diabetic Cataract in Rats by Curcumin: Modulation of –crystallin Chaperone Activity | 1 |
| 19 | 34 | |
| 20 | 89 |
About Anil Kumar Pasupulati
Anil Kumar Pasupulati is a scholar working on Nephrology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (20 papers), Chronic Kidney Disease and Diabetes (17 papers) and Advanced Glycation End Products research (15 papers). The work is most often cited by research in Clinical Biochemistry (539 citations), Nephrology (349 citations) and Endocrinology, Diabetes and Metabolism (513 citations). Anil Kumar Pasupulati has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include G. Bhanuprakash Reddy, Ram K. Menon, Mukesh Kumar, Palla Suryanarayana, P. Yadagiri Reddy, Prasad Chitra, Moin A. Saleem, Dhanunjay Mukhi, Gavin I. Welsh and Raghu Ganugula. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.