A Nirmala
Impact in
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- Adipose Tissue and Metabolism
Papers in
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- Obesity, Physical Activity, Diet 3
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- Sodium Intake and Health 2
- Co-authors
- Treva Rice (6 shared papers)T. J. Pandian (2 shared papers)Mary F. Feitosa (1 shared paper)Laura E. Mitchell (3 shared papers)D. C. Rao (3 shared papers)P. Venkatramana (2 shared papers)Judie Arulappan (3 shared papers)P. Venkataraman (3 shared papers)
- Journals
- American Journal of Human Biology (3 papers)Genetic Epidemiology (1 paper)Physiology & Behavior (1 paper)Indian Journal of Forensic Medicine & Toxicology (1 paper)Biomedical Research - India (1 paper)
- Partner nations
- IndiaUnited StatesOman
In The Last Decade
A Nirmala
15 papers receiving 100 citations
Peers
Comparison fields: 5 of 56
- Physiology 7
- Anatomy 2
- Public Health, Environmental and Occupational Health 34
- Aquatic Science 8
- Genetics 30
Countries citing papers authored by A Nirmala
This map shows the geographic impact of A Nirmala'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 A Nirmala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Nirmala more than expected).
Fields of papers citing papers by A Nirmala
This network shows the impact of papers produced by A Nirmala. 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 A Nirmala. The network helps show where A Nirmala may publish in the future.
Co-authors
The 17 scholars most cited alongside A Nirmala, 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 | 2001 | 15 | |
| 2 | Major gene effect on body mass index: the role of energy intake and energy expenditure. | 2000 | 15 |
| 3 | 2008 | 14 | |
| 4 | Familial resemblance of blood pressure with residual household environmental effects in consanguineous and nonconsanguineous families from Andhra Pradesh, India. | 1992 | 11 |
| 5 | 1983 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 1993 | 8 | |
| 8 | 1980 | 8 | |
| 9 | 1992 | 7 | |
| 10 | 1993 | 6 | |
| 11 | Commingling analysis of adiposity in an Indian population. | 1994 | 6 |
| 12 | 2018 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2007 | 2 | |
| 15 | 2018 | 1 |
About A Nirmala
A Nirmala is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics, Genetics, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 115 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Obesity and Health Practices (2 papers), Genetic Associations and Epidemiology (2 papers), Physiological and biochemical adaptations (2 papers), Sodium Intake and Health (2 papers), Autopsy Techniques and Outcomes (1 paper), Trauma and Emergency Care Studies (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Physiology (7 citations), Anatomy (2 citations), Public Health, Environmental and Occupational Health (34 citations), Aquatic Science (8 citations) and Genetics (30 citations). A Nirmala has collaborated with scholars based in India, United States and Oman. Frequent co-authors include Treva Rice, T. J. Pandian, Mary F. Feitosa, Laura E. Mitchell, D. C. Rao, P. Venkatramana, Judie Arulappan, P. Venkataraman, K Sampath and M. P. Marian. Their work appears in journals such as American Journal of Human Biology, Genetic Epidemiology, Physiology & Behavior, Indian Journal of Forensic Medicine & Toxicology and Biomedical Research - India.
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.