Meena Kumari
- Behavioral Neuroscience top 0.05%
- Experimental and Cognitive Psychology top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Michael MarmotMika KivimäkiSteve E. HumphriesEric J. BrunnerEmma K. AdamVidya Mohamed‐AliMartin J. ShipleyTarani Chandola
- Topics
- Health disparities and outcomes (38 papers)Stress Responses and Cortisol (34 papers)Genetic Associations and Epidemiology (28 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Meena Kumari
239 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Behavioral Neuroscience 2.5k
- Experimental and Cognitive Psychology 2.3k
- Cardiology and Cardiovascular Medicine 2.1k
- Physiology 2.0k
- Endocrinology, Diabetes and Metabolism 1.9k
Countries citing papers authored by Meena Kumari
This map shows the geographic impact of Meena Kumari'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 Meena Kumari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meena Kumari more than expected).
Fields of papers citing papers by Meena Kumari
This network shows the impact of papers produced by Meena Kumari. 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 Meena Kumari. The network helps show where Meena Kumari may publish in the future.
Co-authorship network of co-authors of Meena Kumari
This figure shows the co-authorship network connecting the top 25 collaborators of Meena Kumari. A scholar is included among the top collaborators of Meena Kumari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meena Kumari. Meena Kumari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 48 | |
| 5 | 110 | |
| 6 | 3 | |
| 7 | 180 | |
| 8 | Efficacy and safety of intense pulse light in idiopathic hirsutism | 3 |
| 9 | 9 | |
| 10 | 25 | |
| 11 | 67 | |
| 12 | 24 | |
| 13 | 9 | |
| 14 | 278 | |
| 15 | Examining Overweight and Obesity as Risk Factors for Common Mental Disorders Using Fat Mass and Obesity-Associated (FTO) Genotype-Instrumented Analysis | 6 |
| 16 | 210 | |
| 17 | 169 | |
| 18 | 4 | |
| 19 | 46 | |
| 20 | Health (Chapter 6), In: Health, Wealth and Lifestyles of the Older Population: The 2002 English Longitudinal Study of Ageing. | 5 |
About Meena Kumari
Meena Kumari is a scholar working on Behavioral Neuroscience, Health and Neuropsychology and Physiological Psychology, having authored 243 papers that have together received 14.3k indexed citations. Recurring topics across this work include Health disparities and outcomes (38 papers), Stress Responses and Cortisol (34 papers) and Genetic Associations and Epidemiology (28 papers). The work is most often cited by research in Behavioral Neuroscience (2.5k citations), Biological Psychiatry (874 citations) and Experimental and Cognitive Psychology (2.3k citations). Meena Kumari has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Michael Marmot, Mika Kivimäki, Steve E. Humphries, Eric J. Brunner, Emma K. Adam, Vidya Mohamed‐Ali, Martin J. Shipley, Tarani Chandola, Ellena Badrick and Jane E. Ferrie. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and Circulation.
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.