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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- Cardiovascular Function and Risk Factors 5
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- Pluripotent Stem Cells Research 2
- Mitochondrial Function and Pathology 2
- Renal and related cancers 2
- CRISPR and Genetic Engineering 2
- Co-authors
- Sonia Cortassa (7 shared papers)Miguel A. Aon (7 shared papers)Carlo G. Tocchetti (2 shared papers)Nazareno Paolocci (1 shared paper)Xiaoxu Shen (5 shared papers)Wei Dong Gao (3 shared papers)Brian O’Rourke (5 shared papers)Sarita Gupta (3 shared papers)
- Journals
- Biophysical Journal (2 papers)Stem Cell Research (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Niraj Bhatt
13 papers receiving 354 citations
Peers
Comparison fields: 5 of 73
- Biochemistry 44
- Physiology 108
- Cardiology and Cardiovascular Medicine 61
- Developmental Neuroscience 11
- Clinical Biochemistry 18
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 | 196 | |
| 2 | 2015 | 56 | |
| 3 | 2014 | 37 | |
| 4 | 2017 | 30 | |
| 5 | 2012 | 11 | |
| 6 | 2016 | 8 | |
| 7 | 2009 | 6 | |
| 8 | 2014 | 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 Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Plant Science, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (5 papers), Adipose Tissue and Metabolism (4 papers), Pluripotent Stem Cells Research (2 papers), Mitochondrial Function and Pathology (2 papers), Renal and related cancers (2 papers), Natural Antidiabetic Agents Studies (2 papers), Phytochemistry and Biological Activities (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biochemistry (44 citations), Physiology (108 citations), Cardiology and Cardiovascular Medicine (61 citations), Developmental Neuroscience (11 citations) and Clinical Biochemistry (18 citations). Niraj Bhatt has collaborated with scholars based in United States, India and China. Frequent co-authors include Sonia Cortassa, Miguel A. Aon, Carlo G. Tocchetti, Nazareno Paolocci, Xiaoxu Shen, Wei Dong Gao, Brian O’Rourke, Sarita Gupta, Swati Dey and Sharon Gerecht. Their work appears in journals such as Biophysical Journal, Stem Cell Research, Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Heart and Circulatory 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.