Shiva Krishnan
Impact in
- Physiology top 10%
- Smoking Behavior and Cessation
- Asthma and respiratory diseases
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- Behavioral Health and Interventions
Papers in
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- Epigenetics and DNA Methylation 8
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- Cancer, Lipids, and Metabolism 2
- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Co-authors
- Peter G. Shields (15 shared papers)Larry W. Hawk (2 shared papers)Angela Pinto (2 shared papers)E. Paul Wileyto (2 shared papers)Janet Audrain (2 shared papers)Caryn Lerman (2 shared papers)Raymond Niaura (2 shared papers)Leonard H. Epstein (2 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (2 papers)Cancer Research (2 papers)Nutrition and Cancer (1 paper)Health Psychology (1 paper)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- United StatesRomaniaSweden
In The Last Decade
Shiva Krishnan
15 papers receiving 525 citations
Peers
Comparison fields: 5 of 79
- Physiology 196
- Applied Psychology 36
- Molecular Biology 352
- Pharmacology 41
- Cancer Research 66
Countries citing papers authored by Shiva Krishnan
This map shows the geographic impact of Shiva Krishnan'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 Shiva Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiva Krishnan more than expected).
Fields of papers citing papers by Shiva Krishnan
This network shows the impact of papers produced by Shiva Krishnan. 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 Shiva Krishnan. The network helps show where Shiva Krishnan may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiva Krishnan, 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 | 2002 | 139 | |
| 2 | 2003 | 122 | |
| 3 | 2008 | 45 | |
| 4 | 2009 | 35 | |
| 5 | 2009 | 35 | |
| 6 | 2006 | 33 | |
| 7 | 2010 | 25 | |
| 8 | DNA hypermethylation phenotypes and one carbon metabolism genetic variants in breast tissues from normal healthy women | 2008 | 23 |
| 9 | 2011 | 18 | |
| 10 | 2015 | 16 | |
| 11 | 2016 | 14 | |
| 12 | 2011 | 12 | |
| 13 | 2016 | 7 | |
| 14 | Microsomal epoxide hydrolase variants are not associated with risk of breast cancer. | 2002 | 7 |
| 15 | 2012 | 6 |
About Shiva Krishnan
Shiva Krishnan is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Rheumatology, having authored 15 papers that have together received 537 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Cancer Risks and Factors (4 papers), Smoking Behavior and Cessation (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer-related molecular mechanisms research (2 papers), Folate and B Vitamins Research (2 papers), Digestive system and related health (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Physiology (196 citations), Applied Psychology (36 citations), Molecular Biology (352 citations), Pharmacology (41 citations) and Cancer Research (66 citations). Shiva Krishnan has collaborated with scholars based in United States, Romania and Sweden. Frequent co-authors include Peter G. Shields, Larry W. Hawk, Angela Pinto, E. Paul Wileyto, Janet Audrain, Caryn Lerman, Raymond Niaura, Leonard H. Epstein, Jo L. Freudenheim and Cătălin Marian. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Cancer Research, Nutrition and Cancer, Health Psychology and American Journal of Clinical Nutrition.
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.