Rama Walia
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 10%
- Molecular Biology
- Epidemiology top 10%
- Genetics top 5%
- Co-authors
- Anil BhansaliPinaki DuttaNaresh SachdevaSanjay Kumar BhadadaM. RavikiranShobhit BhansaliVeena DhawanShipra Bhansali
- Topics
- Pituitary Gland Disorders and Treatments (36 papers)Adrenal and Paraganglionic Tumors (27 papers)Growth Hormone and Insulin-like Growth Factors (18 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismCochrane Database of Systematic Reviews
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Rama Walia
114 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 107
- Endocrinology, Diabetes and Metabolism 855
- Surgery 510
- Molecular Biology 354
- Epidemiology 334
- Genetics 227
Countries citing papers authored by Rama Walia
This map shows the geographic impact of Rama Walia'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 Rama Walia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rama Walia more than expected).
Fields of papers citing papers by Rama Walia
This network shows the impact of papers produced by Rama Walia. 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 Rama Walia. The network helps show where Rama Walia may publish in the future.
Co-authorship network of co-authors of Rama Walia
This figure shows the co-authorship network connecting the top 25 collaborators of Rama Walia. A scholar is included among the top collaborators of Rama Walia 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 Rama Walia. Rama Walia 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 | 9 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 32 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | 64 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | Palonosetron-dexamethasone versus ondansetron-dexamethasone to prevent postoperative nausea and vomiting undergoing laparoscopic sleeve gastrectomy: a preliminary, randomized, double blinded study | 5 |
| 20 | Ectopic Cushing's syndrome: experience from a tertiary care centre. | 35 |
About Rama Walia
Rama Walia is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Surgery, having authored 125 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (36 papers), Adrenal and Paraganglionic Tumors (27 papers) and Growth Hormone and Insulin-like Growth Factors (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (855 citations), Genetics (227 citations) and Surgery (510 citations). Rama Walia has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Anil Bhansali, Pinaki Dutta, Naresh Sachdeva, Sanjay Kumar Bhadada, M. Ravikiran, Shobhit Bhansali, Veena Dhawan, Shipra Bhansali, JS Thakur and Uma Nahar Saikia. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Cochrane Database of Systematic Reviews.
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.