Devi M. Nair
Impact in
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- Peroxisome Proliferator-Activated Receptors
- Heat shock proteins research
- RNA Research and Splicing
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
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- Heat shock proteins research 2
- Genomics and Chromatin Dynamics 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Peroxisome Proliferator-Activated Receptors 1
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
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- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- P. Edward Purdue (1 shared paper)Paul B. Lazarow (1 shared paper)Vanida A. Serna (2 shared papers)Takeshi Kurita (2 shared papers)Megan M. Romero (1 shared paper)Anthony J. Koleske (1 shared paper)So‐Youn Kim (1 shared paper)Teresa K. Woodruff (1 shared paper)
- Journals
- Cell Death and Differentiation (2 papers)The Journal of Cell Biology (2 papers)Molecular and Cellular Biology (1 paper)Cellular and Molecular Bioengineering (1 paper)Current Genetics (1 paper)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Devi M. Nair
7 papers receiving 325 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 257
- Reproductive Medicine 25
- Immunology 42
- Public Health, Environmental and Occupational Health 54
- Biochemistry 12
Countries citing papers authored by Devi M. Nair
This map shows the geographic impact of Devi M. Nair'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 Devi M. Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devi M. Nair more than expected).
Fields of papers citing papers by Devi M. Nair
This network shows the impact of papers produced by Devi M. Nair. 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 Devi M. Nair. The network helps show where Devi M. Nair may publish in the future.
Co-authors
The 25 scholars most cited alongside Devi M. Nair, 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 | 2004 | 103 | |
| 2 | 2007 | 87 | |
| 3 | 2018 | 63 | |
| 4 | 2014 | 31 | |
| 5 | 2013 | 25 | |
| 6 | 2020 | 14 | |
| 7 | 2011 | 6 | |
| 8 | 2007 | 0 |
About Devi M. Nair
Devi M. Nair is a scholar working on Molecular Biology, Cell Biology, Urology, Epidemiology and Obstetrics and Gynecology, having authored 8 papers that have together received 329 indexed citations. Recurring topics across this work include Heat shock proteins research (2 papers), Genomics and Chromatin Dynamics (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (257 citations), Reproductive Medicine (25 citations), Immunology (42 citations), Public Health, Environmental and Occupational Health (54 citations) and Biochemistry (12 citations). Devi M. Nair has collaborated with scholars based in United States, Japan and France. Frequent co-authors include P. Edward Purdue, Paul B. Lazarow, Vanida A. Serna, Takeshi Kurita, Megan M. Romero, Anthony J. Koleske, So‐Youn Kim, Teresa K. Woodruff, Paul C. Lee and A. Mandal. Their work appears in journals such as Cell Death and Differentiation, The Journal of Cell Biology, Molecular and Cellular Biology, Cellular and Molecular Bioengineering and Current Genetics.
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.