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
- Fungal and yeast genetics research
Papers in
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- Genomics and Chromatin Dynamics 2
- TGF-β signaling in diseases 1
- ATP Synthase and ATPases Research 1
- Renal and related cancers 1
- DNA Repair Mechanisms 1
- Urology 1
- Co-authors
- P. Edward Purdue (1 shared paper)Paul B. Lazarow (1 shared paper)Takeshi Kurita (2 shared papers)Vanida A. Serna (2 shared papers)Teresa K. Woodruff (1 shared paper)Megan M. Romero (1 shared paper)Anthony J. Koleske (1 shared paper)So‐Youn Kim (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Cell Death and Differentiation (2 papers)Current Genetics (1 paper)Molecular and Cellular Biology (1 paper)Cellular and Molecular Bioengineering (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Devi M. Nair
7 papers receiving 312 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 261
- Reproductive Medicine 28
- Public Health, Environmental and Occupational Health 55
- Immunology 39
- Biochemistry 10
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 | 101 | |
| 2 | 2007 | 84 | |
| 3 | 2018 | 60 | |
| 4 | 2014 | 28 | |
| 5 | 2013 | 25 | |
| 6 | 2020 | 14 | |
| 7 | 2011 | 4 |
About Devi M. Nair
Devi M. Nair is a scholar working on Molecular Biology, Urology, Epidemiology, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 316 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Plant Molecular Biology Research (1 paper), TGF-β signaling in diseases (1 paper), ATP Synthase and ATPases Research (1 paper), Renal and related cancers (1 paper), Endometrial and Cervical Cancer Treatments (1 paper), DNA Repair Mechanisms (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Molecular Biology (261 citations), Reproductive Medicine (28 citations), Public Health, Environmental and Occupational Health (55 citations), Immunology (39 citations) and Biochemistry (10 citations). Devi M. Nair has collaborated with scholars based in United States, France and Japan. Frequent co-authors include P. Edward Purdue, Paul B. Lazarow, Takeshi Kurita, Vanida A. Serna, Teresa K. Woodruff, Megan M. Romero, Anthony J. Koleske, So‐Youn Kim, Jeffrey L. Brodsky and Paul C. Lee. Their work appears in journals such as The Journal of Cell Biology, Cell Death and Differentiation, Current Genetics, Molecular and Cellular Biology and Cellular and Molecular Bioengineering.
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.