Niraj Bhatt
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
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- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
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- Mitochondrial Function and Pathology 3
- Renal and related cancers 2
- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
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- Cardiovascular Function and Risk Factors 5
- Co-authors
- Miguel A. Aon (7 shared papers)Sonia Cortassa (7 shared papers)Carlo G. Tocchetti (2 shared papers)Nazareno Paolocci (1 shared paper)Brian O’Rourke (5 shared papers)Sarita Gupta (3 shared papers)Wei Dong Gao (3 shared papers)Xiaoxu Shen (5 shared papers)
- Journals
- Stem Cell Research (2 papers)Biophysical Journal (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Frontiers in Physiology (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Niraj Bhatt
13 papers receiving 346 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 48
- Physiology 127
- Cardiology and Cardiovascular Medicine 71
- Geriatrics and Gerontology 12
- Developmental Neuroscience 11
Countries citing papers authored by Niraj Bhatt
This map shows the geographic impact of Niraj Bhatt'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 Niraj Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj Bhatt more than expected).
Fields of papers citing papers by Niraj Bhatt
This network shows the impact of papers produced by Niraj Bhatt. 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 Niraj Bhatt. The network helps show where Niraj Bhatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Niraj Bhatt, 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 | 2014 | 193 | |
| 2 | 2015 | 54 | |
| 3 | 2014 | 37 | |
| 4 | 2017 | 28 | |
| 5 | 2012 | 11 | |
| 6 | 2016 | 8 | |
| 7 | 2014 | 6 | |
| 8 | 2009 | 6 | |
| 9 | 2016 | 5 | |
| 10 | 2012 | 1 | |
| 11 | 2013 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2012 | 1 |
About Niraj Bhatt
Niraj Bhatt is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 13 papers that have together received 352 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Cardiovascular Function and Risk Factors (5 papers), Mitochondrial Function and Pathology (3 papers), Phytochemistry and Biological Activities (2 papers), Natural Antidiabetic Agents Studies (2 papers), Renal and related cancers (2 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biochemistry (48 citations), Physiology (127 citations), Cardiology and Cardiovascular Medicine (71 citations), Geriatrics and Gerontology (12 citations) and Developmental Neuroscience (11 citations). Niraj Bhatt has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Miguel A. Aon, Sonia Cortassa, Carlo G. Tocchetti, Nazareno Paolocci, Brian O’Rourke, Sarita Gupta, Wei Dong Gao, Xiaoxu Shen, Swati Dey and Brian M. Polster. Their work appears in journals such as Stem Cell Research, Biophysical Journal, Journal of Pharmacology and Experimental Therapeutics, Frontiers in Physiology and Antioxidants and Redox Signaling.
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.