Vijay Bhat
Impact in
- Hematology top 5%
- Iron Metabolism and Disorders
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Genetics 15
- Hemoglobinopathies and Related Disorders 15
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- Pluripotent Stem Cells Research 3
- Co-authors
- Sant‐Rayn Pasricha (1 shared paper)Jim Black (1 shared paper)H Sudarshan (1 shared paper)Beverley‐Ann Biggs (1 shared paper)Sumithra Muthayya (1 shared paper)Savitha Nagaraj (1 shared paper)Anita Shet (1 shared paper)Arun S. Shet (1 shared paper)
- Journals
- Analytical Biochemistry (3 papers)Experimental Biology and Medicine (1 paper)Journal of Biomedical Science (1 paper)Current Stem Cell Research & Therapy (1 paper)Journal of Structural Biology (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Vijay Bhat
24 papers receiving 416 citations
Peers
Comparison fields: 5 of 70
- Hematology 168
- Genetics 107
- Nutrition and Dietetics 88
- Cell Biology 41
- Clinical Biochemistry 13
Countries citing papers authored by Vijay Bhat
This map shows the geographic impact of Vijay Bhat'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 Vijay Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Bhat more than expected).
Fields of papers citing papers by Vijay Bhat
This network shows the impact of papers produced by Vijay Bhat. 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 Vijay Bhat. The network helps show where Vijay Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Vijay Bhat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 222 | |
| 2 | 2009 | 31 | |
| 3 | 2013 | 23 | |
| 4 | 2007 | 19 | |
| 5 | 2013 | 15 | |
| 6 | 2009 | 13 | |
| 7 | 2010 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2011 | 9 | |
| 10 | 2010 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2016 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2012 | 5 | |
| 18 | 2010 | 4 | |
| 19 | 2010 | 4 | |
| 20 | 2020 | 4 |
About Vijay Bhat
Vijay Bhat is a scholar working on Genetics, Molecular Biology, Hematology, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Iron Metabolism and Disorders (8 papers), Hemoglobin structure and function (8 papers), Erythrocyte Function and Pathophysiology (4 papers), Neonatal Health and Biochemistry (4 papers), Pluripotent Stem Cells Research (3 papers), Advanced Glycation End Products research (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Hematology (168 citations), Genetics (107 citations), Nutrition and Dietetics (88 citations), Cell Biology (41 citations) and Clinical Biochemistry (13 citations). Vijay Bhat has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Sant‐Rayn Pasricha, Jim Black, H Sudarshan, Beverley‐Ann Biggs, Sumithra Muthayya, Savitha Nagaraj, Anita Shet, Arun S. Shet, Amit Kumar Mandal and Satish Totey. Their work appears in journals such as Analytical Biochemistry, Experimental Biology and Medicine, Journal of Biomedical Science, Current Stem Cell Research & Therapy and Journal of Structural Biology.
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.