Anupama Ramachandran
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Surgery top 10%
- Epidemiology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Chamukuttan SnehalathaViswanathan MohanG. A. HitmanVijay ViswanathanC. SnehalathaRamu ShobhanaMark I. McCarthyB Ogunkolade
- Topics
- Diabetes and associated disorders (21 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Diabetes Management and Research (8 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Anupama Ramachandran
39 papers receiving 803 citations
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 406
- Genetics 319
- Surgery 297
- Epidemiology 159
- Pathology and Forensic Medicine 115
Countries citing papers authored by Anupama Ramachandran
This map shows the geographic impact of Anupama Ramachandran'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 Anupama Ramachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupama Ramachandran more than expected).
Fields of papers citing papers by Anupama Ramachandran
This network shows the impact of papers produced by Anupama Ramachandran. 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 Anupama Ramachandran. The network helps show where Anupama Ramachandran may publish in the future.
Co-authorship network of co-authors of Anupama Ramachandran
This figure shows the co-authorship network connecting the top 25 collaborators of Anupama Ramachandran. A scholar is included among the top collaborators of Anupama Ramachandran 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 Anupama Ramachandran. Anupama Ramachandran 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 | 8 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | Epidemiology of type 2 diabetes in Indians. | 21 |
| 12 | 5 | |
| 13 | 62 | |
| 14 | 24 | |
| 15 | 4 | |
| 16 | 6 | |
| 17 | 27 | |
| 18 | 47 | |
| 19 | 41 | |
| 20 | 9 |
About Anupama Ramachandran
Anupama Ramachandran is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Health Informatics, having authored 45 papers that have together received 876 indexed citations. Recurring topics across this work include Diabetes and associated disorders (21 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Diabetes Management and Research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (406 citations), Genetics (319 citations) and Family Practice (24 citations). Anupama Ramachandran has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Chamukuttan Snehalatha, Viswanathan Mohan, G. A. Hitman, Vijay Viswanathan, C. Snehalatha, Ramu Shobhana, Mark I. McCarthy, B Ogunkolade, K. Satyavani and Michael McDermott. Their work appears in journals such as Diabetologia, Fertility and Sterility and World Journal of Gastroenterology.
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.