Shamik Parikh
- Endocrinology, Diabetes and Metabolism top 0.1%
- Molecular Biology top 2%
- Surgery top 1%
- Pharmacology top 0.5%
- Physiology top 5%
- Co-authors
- Jennifer SuggJack A. YanovskiAnna Maria LangkildeJohn WildingKatja RohwedderÖsten LjunggrenJan BolinderAgata Ptaszynska
- Topics
- Diabetes Treatment and Management (45 papers)Metabolism, Diabetes, and Cancer (27 papers)Pancreatic function and diabetes (24 papers)
- Journals
- CirculationSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Shamik Parikh
55 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 4.6k
- Molecular Biology 2.6k
- Surgery 2.2k
- Pharmacology 987
- Physiology 666
Countries citing papers authored by Shamik Parikh
This map shows the geographic impact of Shamik Parikh'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 Shamik Parikh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shamik Parikh more than expected).
Fields of papers citing papers by Shamik Parikh
This network shows the impact of papers produced by Shamik Parikh. 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 Shamik Parikh. The network helps show where Shamik Parikh may publish in the future.
Co-authorship network of co-authors of Shamik Parikh
This figure shows the co-authorship network connecting the top 25 collaborators of Shamik Parikh. A scholar is included among the top collaborators of Shamik Parikh 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 Shamik Parikh. Shamik Parikh 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 | 0 | |
| 4 | 1 | |
| 5 | 52 | |
| 6 | 31 | |
| 7 | 37 | |
| 8 | 64 | |
| 9 | 12 | |
| 10 | 211 | |
| 11 | 103 | |
| 12 | 173 | |
| 13 | 1 | |
| 14 | 82 | |
| 15 | 170 | |
| 16 | Long-Term Efficacy of Dapagliflozin in Patients With Type 2 Diabetes Mellitus Receiving High Doses of Insulin | 25 |
| 17 | 12 | |
| 18 | 56 | |
| 19 | 123 | |
| 20 | 159 |
About Shamik Parikh
Shamik Parikh is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 60 papers that have together received 5.9k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (45 papers), Metabolism, Diabetes, and Cancer (27 papers) and Pancreatic function and diabetes (24 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.6k citations), Nephrology (424 citations) and Pharmacology (987 citations). Shamik Parikh has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Jennifer Sugg, Jack A. Yanovski, Anna Maria Langkilde, John Wilding, Katja Rohwedder, Östen Ljunggren, Jan Bolinder, Agata Ptaszynska, James F. List and M. Elze. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.