Jayasree S. Nair
- Cell Biology top 10%
- Microtubule and mitosis dynamics 9
- Oncology top 10%
- Cancer-related Molecular Pathways 9
- Lung Cancer Research Studies 2
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- Cancer therapeutics and mechanisms 4
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 2
- Nuclear Structure and Function 2
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- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Gary K. SchwartzAlan L. HoElgilda MusiElisa de StanchinaGrazia AmbrosiniWei SunAgneta TjernbergJames Darnell
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Oncology (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Jayasree S. Nair
21 papers receiving 706 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 206
- Oncology 309
- Molecular Biology 419
- Cancer Research 83
- Immunology 98
Countries citing papers authored by Jayasree S. Nair
This map shows the geographic impact of Jayasree S. 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 Jayasree S. Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayasree S. Nair more than expected).
Fields of papers citing papers by Jayasree S. Nair
This network shows the impact of papers produced by Jayasree S. 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 Jayasree S. Nair. The network helps show where Jayasree S. Nair may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jayasree S. 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 | 2016 | 90 | |
| 2 | 2016 | 28 | |
| 3 | 2015 | 10 | |
| 4 | PTEN regulates sensitivity of melanoma cells to RO4929097, the γ-secretase inhibitor. | 2013 | 28 |
| 5 | 2013 | 2 | |
| 6 | 2013 | 72 | |
| 7 | 2012 | 48 | |
| 8 | 2012 | 59 | |
| 9 | 2012 | 44 | |
| 10 | 2011 | 28 | |
| 11 | 2009 | 31 | |
| 12 | 2009 | 76 | |
| 13 | A selective Aurora B kinase inhibitor with potent anticancer activity either as a single agent or in combination with irinotecan (CPT-11) in colon cancer cells | 2008 | 1 |
| 14 | 2005 | 15 | |
| 15 | 2004 | 5 | |
| 16 | 2004 | 14 | |
| 17 | 2002 | 101 | |
| 18 | 2001 | 17 | |
| 19 | Differential effect of camptothecin treatment on topoisomerase II alpha expression in ML-1 and HL-60 leukemia cell lines. | 2001 | 1 |
| 20 | 2000 | 4 |
About Jayasree S. Nair
Jayasree S. Nair is a scholar working on Cell Biology, Oncology and Cancer Research, having authored 21 papers that have together received 716 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), Cancer-related Molecular Pathways (9 papers), Cancer therapeutics and mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Cancer, Hypoxia, and Metabolism (2 papers), Protein Degradation and Inhibitors (2 papers), Lung Cancer Research Studies (2 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Cell Biology (206 citations), Oncology (309 citations) and Molecular Biology (419 citations). Jayasree S. Nair has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Gary K. Schwartz, Alan L. Ho, Elgilda Musi, Elisa de Stanchina, Grazia Ambrosini, Wei Sun, Agneta Tjernberg, James Darnell, Brian T. Chait and J. Jillian Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and PLoS ONE.
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.