Jayashree Karar
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Receptor Mechanisms and Signaling 2
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- Adipose Tissue and Metabolism 3
- Co-authors
- Amit Maity (5 shared papers)M. A. Qadar Pasha (7 shared papers)Constantinos Koumenis (5 shared papers)Karamjit Singh Dolt (5 shared papers)George J. Cerniglia (3 shared papers)Manoj K. Mishra (3 shared papers)Hongzhuang Peng (3 shared papers)Ramesh Rengan (1 shared paper)
- Journals
- Cancer Research (3 papers)FEBS Letters (2 papers)Cancer Biology & Therapy (2 papers)Gene (1 paper)Neuropeptides (1 paper)
- Partner nations
- United StatesIndiaGreece
In The Last Decade
Jayashree Karar
19 papers receiving 1.7k citations
Jayashree Karar's Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 459
- Molecular Biology 946
- Oncology 299
- Genetics 102
- Immunology 179
Countries citing papers authored by Jayashree Karar
This map shows the geographic impact of Jayashree Karar'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 Jayashree Karar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayashree Karar more than expected).
Fields of papers citing papers by Jayashree Karar
This network shows the impact of papers produced by Jayashree Karar. 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 Jayashree Karar. The network helps show where Jayashree Karar may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayashree Karar, 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 | PI3K/AKT/mTOR Pathway in Angiogenesis Hit paper breakdown → | 2011 | 1122 |
| 2 | 2014 | 107 | |
| 3 | 2009 | 85 | |
| 4 | 2012 | 80 | |
| 5 | 2006 | 53 | |
| 6 | 2012 | 51 | |
| 7 | 2011 | 44 | |
| 8 | 2012 | 35 | |
| 9 | 2008 | 27 | |
| 10 | 2007 | 26 | |
| 11 | 2006 | 25 | |
| 12 | 2014 | 24 | |
| 13 | 2017 | 20 | |
| 14 | 2008 | 17 | |
| 15 | 2008 | 17 | |
| 16 | 2009 | 9 | |
| 17 | 2024 | 7 | |
| 18 | 2012 | 3 | |
| 19 | 2012 | 1 |
About Jayashree Karar
Jayashree Karar is a scholar working on Molecular Biology, Physiology, Cancer Research, Genetics and Epidemiology, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Adipose Tissue and Metabolism (3 papers), Autophagy in Disease and Therapy (3 papers), Neuropeptides and Animal Physiology (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cancer Research (459 citations), Molecular Biology (946 citations), Oncology (299 citations), Genetics (102 citations) and Immunology (179 citations). Jayashree Karar has collaborated with scholars based in United States, India and Greece. Frequent co-authors include Amit Maity, M. A. Qadar Pasha, Constantinos Koumenis, Karamjit Singh Dolt, George J. Cerniglia, Manoj K. Mishra, Hongzhuang Peng, Ramesh Rengan, Frank J. Rauscher and Sonia Tyagi. Their work appears in journals such as Cancer Research, FEBS Letters, Cancer Biology & Therapy, Gene and Neuropeptides.
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.