Jayasankar Kosaraju
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Neurology top 5%
- Co-authors
- Santhivardhan ChinniKin Yip TamR. M. Damian HolsingerAnil DubalaDuraiswamy BasavanLixia GuoChaitanya Chakravarthi GaliSubbaRao V. Madhunapantula
- Topics
- Peptidase Inhibition and Analysis (7 papers)Diabetes Treatment and Management (7 papers)Neuropeptides and Animal Physiology (6 papers)
- Partner nations
- IndiaMacaoUnited States
In The Last Decade
Jayasankar Kosaraju
21 papers receiving 646 citations
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 249
- Physiology 236
- Cellular and Molecular Neuroscience 147
- Molecular Biology 144
- Neurology 138
Countries citing papers authored by Jayasankar Kosaraju
This map shows the geographic impact of Jayasankar Kosaraju'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 Jayasankar Kosaraju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayasankar Kosaraju more than expected).
Fields of papers citing papers by Jayasankar Kosaraju
This network shows the impact of papers produced by Jayasankar Kosaraju. 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 Jayasankar Kosaraju. The network helps show where Jayasankar Kosaraju may publish in the future.
Co-authorship network of co-authors of Jayasankar Kosaraju
This figure shows the co-authorship network connecting the top 25 collaborators of Jayasankar Kosaraju. A scholar is included among the top collaborators of Jayasankar Kosaraju 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 Jayasankar Kosaraju. Jayasankar Kosaraju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 34 | |
| 3 | 20 | |
| 4 | 10 | |
| 5 | 15 | |
| 6 | 13 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 104 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 70 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 18 | |
| 17 | Neuroprotective effects of vildagliptin, a dipeptidyl peptidase-4 inhibitor against streptozotocin induced Alzheimer?s disease | 1 |
| 18 | 160 | |
| 19 | 121 | |
| 20 | BIOANALYTICAL METHOD DEVELOPMENT AND VALIDATION OF SITAGLIPTIN PHOSPHATE BY RP-HPLC AND ITS APPLICATION TO PHARMACOKINETIC STUDY | 18 |
About Jayasankar Kosaraju
Jayasankar Kosaraju is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Biological Psychiatry, having authored 21 papers that have together received 663 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (7 papers), Diabetes Treatment and Management (7 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Neurology (138 citations), Endocrinology, Diabetes and Metabolism (249 citations) and Biological Psychiatry (31 citations). Jayasankar Kosaraju has collaborated with scholars based in India, Macao and United States. Frequent co-authors include Santhivardhan Chinni, Kin Yip Tam, R. M. Damian Holsinger, Anil Dubala, Duraiswamy Basavan, Lixia Guo, Chaitanya Chakravarthi Gali, SubbaRao V. Madhunapantula, Vishakantha Murthy and M. N. Satish Kumar. Their work appears in journals such as Experimental Neurology, Neuropharmacology and Journal of the Neurological Sciences.
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.