Vijaya Sarathi
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Genetics top 5%
- Pathology and Forensic Medicine top 10%
- Hematology top 5%
- Co-authors
- Tushar BandgarNalini S. ShahAnurag LilaP. S. N. MenonVyankatesh ShivaneVarsha S. JagtapDipty JainPadma S. Menon
- Topics
- Pituitary Gland Disorders and Treatments (43 papers)Adrenal and Paraganglionic Tumors (39 papers)Growth Hormone and Insulin-like Growth Factors (23 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaBlood
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Vijaya Sarathi
136 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 722
- Surgery 484
- Genetics 255
- Pathology and Forensic Medicine 198
- Hematology 186
Countries citing papers authored by Vijaya Sarathi
This map shows the geographic impact of Vijaya Sarathi'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 Vijaya Sarathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijaya Sarathi more than expected).
Fields of papers citing papers by Vijaya Sarathi
This network shows the impact of papers produced by Vijaya Sarathi. 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 Vijaya Sarathi. The network helps show where Vijaya Sarathi may publish in the future.
Co-authorship network of co-authors of Vijaya Sarathi
This figure shows the co-authorship network connecting the top 25 collaborators of Vijaya Sarathi. A scholar is included among the top collaborators of Vijaya Sarathi 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 Vijaya Sarathi. Vijaya Sarathi 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | Morbidity pattern in hospitalized under five children with sickle cell disease | 19 |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 33 |
About Vijaya Sarathi
Vijaya Sarathi is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Reproductive Medicine, having authored 156 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (43 papers), Adrenal and Paraganglionic Tumors (39 papers) and Growth Hormone and Insulin-like Growth Factors (23 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (722 citations), Genetics (255 citations) and Nephrology (167 citations). Vijaya Sarathi has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Tushar Bandgar, Nalini S. Shah, Anurag Lila, P. S. N. Menon, Vyankatesh Shivane, Varsha S. Jagtap, Dipty Jain, Padma S. Menon, Virendra Patil and Shilpa Sankhe. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Blood.
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.