V. Datta
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
- Reproductive Health and Technologies
-
- Diabetes Management and Research
Papers in
-
- Diabetes Management and Research 4
- Thyroid Disorders and Treatments 1
- Surgery 4
- Pancreatic function and diabetes 2
- Co-authors
- Amir Babiker (1 shared paper)Désirée García (1 shared paper)Denny Sakkas (2 shared papers)Denis A. Vaughan (2 shared papers)Justin Brown (2 shared papers)Peter G.F. Swift (2 shared papers)Michael J. Browning (1 shared paper)Geoffrey Woodruff (1 shared paper)
- Journals
- Archives of Disease in Childhood (3 papers)Diabetic Medicine (2 papers)Human Reproduction (2 papers)Pediatric Research (1 paper)Colorectal Disease (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
V. Datta
13 papers receiving 190 citations
Peers
Comparison fields: 5 of 68
- Reproductive Medicine 45
- Endocrinology, Diabetes and Metabolism 52
- Genetics 48
- Public Health, Environmental and Occupational Health 46
- Clinical Biochemistry 9
Countries citing papers authored by V. Datta
This map shows the geographic impact of V. Datta'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 V. Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Datta more than expected).
Fields of papers citing papers by V. Datta
This network shows the impact of papers produced by V. Datta. 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 V. Datta. The network helps show where V. Datta may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 1997 | 31 | |
| 3 | 2004 | 30 | |
| 4 | 2010 | 28 | |
| 5 | 2018 | 14 | |
| 6 | 2019 | 11 | |
| 7 | 2016 | 7 | |
| 8 | 2003 | 6 | |
| 9 | 2019 | 3 | |
| 10 | 2009 | 2 | |
| 11 | 2010 | 2 | |
| 12 | 2015 | 1 | |
| 13 | EdQual Policy Brief No. 9. Quality Early Childhood Care and Education helps provide the best start for young lives. | 2010 | 1 |
| 14 | 2025 | 0 |
About V. Datta
V. Datta is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 194 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Diabetes and associated disorders (4 papers), Pancreatic function and diabetes (2 papers), Sperm and Testicular Function (2 papers), Reproductive Health and Technologies (2 papers), Connexins and lens biology (1 paper), Thyroid Disorders and Treatments (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Reproductive Medicine (45 citations), Endocrinology, Diabetes and Metabolism (52 citations), Genetics (48 citations), Public Health, Environmental and Occupational Health (46 citations) and Clinical Biochemistry (9 citations). V. Datta has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Amir Babiker, Désirée García, Denny Sakkas, Denis A. Vaughan, Justin Brown, Peter G.F. Swift, Michael J. Browning, Geoffrey Woodruff, P G Swift and Penny Hill. Their work appears in journals such as Archives of Disease in Childhood, Diabetic Medicine, Human Reproduction, Pediatric Research and Colorectal Disease.
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.