Ranjit Unnikrishnan
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Genetics
- General Health Professions
- Public Health, Environmental and Occupational Health
- Co-authors
- Viswanathan MohanRajendra PradeepaSV MadhuTanvir KaurAnil BhansaliMohan DeepaR. SubashiniPP Joshi
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Diabetes and associated disorders (3 papers)Global Public Health Policies and Epidemiology (2 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismFamily PracticeOrganizational Behavior and Human Resource Management
- Journals
- SHILAP Revista de lepidopterologíaThe Lancet Diabetes & EndocrinologyDiabetes Research and Clinical Practice
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Ranjit Unnikrishnan
9 papers receiving 156 citations
Peers
Comparison fields: 5 of 54
- Endocrinology, Diabetes and Metabolism 130
- Epidemiology 32
- Genetics 20
- General Health Professions 16
- Public Health, Environmental and Occupational Health 16
Countries citing papers authored by Ranjit Unnikrishnan
This map shows the geographic impact of Ranjit Unnikrishnan'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 Ranjit Unnikrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjit Unnikrishnan more than expected).
Fields of papers citing papers by Ranjit Unnikrishnan
This network shows the impact of papers produced by Ranjit Unnikrishnan. 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 Ranjit Unnikrishnan. The network helps show where Ranjit Unnikrishnan may publish in the future.
Co-authorship network of co-authors of Ranjit Unnikrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjit Unnikrishnan. A scholar is included among the top collaborators of Ranjit Unnikrishnan 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 Ranjit Unnikrishnan. Ranjit Unnikrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 135 | |
| 8 | 8 | |
| 9 | Diabetic nephropathy in South Asians. | 1 |
About Ranjit Unnikrishnan
Ranjit Unnikrishnan is a scholar working on Endocrinology, Diabetes and Metabolism, Organizational Behavior and Human Resource Management and Genetics, having authored 9 papers that have together received 169 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes and associated disorders (3 papers) and Global Public Health Policies and Epidemiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Family Practice (4 citations) and Organizational Behavior and Human Resource Management (15 citations). Ranjit Unnikrishnan has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Viswanathan Mohan, Rajendra Pradeepa, SV Madhu, Tanvir Kaur, Anil Bhansali, Mohan Deepa, R. Subashini, PP Joshi, A K Das and Sujeet Jha. Their work appears in journals such as SHILAP Revista de lepidopterología, The Lancet Diabetes & Endocrinology and Diabetes Research and Clinical Practice.
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.