C. G. Agarwal
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Adipose Tissue and Metabolism
Papers in
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- Diabetes Management and Research 2
- Diabetes Treatment and Management 2
- Diet, Metabolism, and Disease 2
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- Adipokines, Inflammation, and Metabolic Diseases 4
- Co-authors
- Neena Srivastava (7 shared papers)Balraj Mittal (6 shared papers)Shally Awasthi (4 shared papers)S. M. Natu (3 shared papers)Jai Prakash (3 shared papers)Ram Lakhan (2 shared papers)Tabrez Jafar (1 shared paper)Suraksha Agrawal (1 shared paper)
- Journals
- Acta Diabetologica (2 papers)Molecular and Cellular Biochemistry (2 papers)Cytokine (1 paper)Annals of Human Biology (1 paper)American Journal of Human Biology (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
C. G. Agarwal
16 papers receiving 243 citations
Peers
Comparison fields: 5 of 64
- Endocrinology, Diabetes and Metabolism 43
- Physiology 60
- Endocrine and Autonomic Systems 14
- Epidemiology 53
- Behavioral Neuroscience 5
Countries citing papers authored by C. G. Agarwal
This map shows the geographic impact of C. G. Agarwal'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 C. G. Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. G. Agarwal more than expected).
Fields of papers citing papers by C. G. Agarwal
This network shows the impact of papers produced by C. G. Agarwal. 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 C. G. Agarwal. The network helps show where C. G. Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside C. G. Agarwal, 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 | 2011 | 42 | |
| 2 | 2011 | 40 | |
| 3 | 2009 | 38 | |
| 4 | 2012 | 35 | |
| 5 | 2011 | 16 | |
| 6 | 2013 | 16 | |
| 7 | 2008 | 15 | |
| 8 | 2012 | 15 | |
| 9 | 2012 | 9 | |
| 10 | "Effect of short-term cigarette smoking on insulin resistance and lipid profile in asymptomatic adults". | 2007 | 7 |
| 11 | 1988 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 1987 | 3 | |
| 14 | Immune status in malnutrition. | 1980 | 3 |
| 15 | 2010 | 1 | |
| 16 | 1986 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About C. G. Agarwal
C. G. Agarwal is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Physiology and Surgery, having authored 18 papers that have together received 249 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Diabetes Management and Research (2 papers), Diabetes Treatment and Management (2 papers), Vestibular and auditory disorders (2 papers), Adipose Tissue and Metabolism (2 papers), Diet, Metabolism, and Disease (2 papers), Biomarkers in Disease Mechanisms (1 paper) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (43 citations), Physiology (60 citations), Endocrine and Autonomic Systems (14 citations), Epidemiology (53 citations) and Behavioral Neuroscience (5 citations). C. G. Agarwal has collaborated with scholars based in India and United States. Frequent co-authors include Neena Srivastava, Balraj Mittal, Shally Awasthi, S. M. Natu, Jai Prakash, Ram Lakhan, Tabrez Jafar, Suraksha Agrawal, Abhishek Gupta and Sandeep Kumar. Their work appears in journals such as Acta Diabetologica, Molecular and Cellular Biochemistry, Cytokine, Annals of Human Biology and American Journal of Human 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.