Sasanka Ramanadham
- Molecular Biology top 2%
- Surgery top 2%
- Cell Biology top 1%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- John TurkAlan BohrerZhongmin MaXiaoyong LeiFong‐Fu HsuShunzhong BaoRichard W. GrossJohn H. McNeill
- Topics
- Pancreatic function and diabetes (59 papers)Metabolism, Diabetes, and Cancer (36 papers)Diet, Metabolism, and Disease (27 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Sasanka Ramanadham
123 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 2.8k
- Surgery 1.4k
- Cell Biology 815
- Physiology 765
- Endocrinology, Diabetes and Metabolism 689
Countries citing papers authored by Sasanka Ramanadham
This map shows the geographic impact of Sasanka Ramanadham'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 Sasanka Ramanadham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sasanka Ramanadham more than expected).
Fields of papers citing papers by Sasanka Ramanadham
This network shows the impact of papers produced by Sasanka Ramanadham. 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 Sasanka Ramanadham. The network helps show where Sasanka Ramanadham may publish in the future.
Co-authorship network of co-authors of Sasanka Ramanadham
This figure shows the co-authorship network connecting the top 25 collaborators of Sasanka Ramanadham. A scholar is included among the top collaborators of Sasanka Ramanadham 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 Sasanka Ramanadham. Sasanka Ramanadham 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 | 4 | |
| 3 | 16 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 81 | |
| 8 | Involvement in the actions of group VIA calcium-independent phospholipase A2 in β-cells | 1 |
| 9 | 73 | |
| 10 | 94 | |
| 11 | 29 | |
| 12 | 36 | |
| 13 | 21 | |
| 14 | 25 | |
| 15 | 175 | |
| 16 | Temporal analysis of retinal function in IRBP peptide-induced experimental autoimmune uveoretinitis (EAU). | 4 |
| 17 | 82 | |
| 18 | 58 | |
| 19 | 3 | |
| 20 | 112 |
About Sasanka Ramanadham
Sasanka Ramanadham is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Surgery, having authored 124 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (59 papers), Metabolism, Diabetes, and Cancer (36 papers) and Diet, Metabolism, and Disease (27 papers). The work is most often cited by research in Biochemistry (516 citations), Cell Biology (815 citations) and Endocrinology, Diabetes and Metabolism (689 citations). Sasanka Ramanadham has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include John Turk, Alan Bohrer, Zhongmin Ma, Xiaoyong Lei, Fong‐Fu Hsu, Shunzhong Bao, Richard W. Gross, John H. McNeill, Mary Wohltmann and Thomas E. Tenner. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.
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.