Uma Chandran
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Molecular Biology top 5%
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 8
- Co-authors
- Rajiv Dhir (12 shared papers)Michael J. Becich (9 shared papers)Federico A. Monzon (4 shared papers)Donald Defranco (14 shared papers)Robert W. Sobol (4 shared papers)Simion I. Chiosea (2 shared papers)Elena Jelezcova (2 shared papers)Changqing Ma (3 shared papers)
- Journals
- Cancer Research (6 papers)Molecular Endocrinology (4 papers)PLoS ONE (4 papers)Molecular and Cellular Endocrinology (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Uma Chandran
89 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 1.3k
- Molecular Biology 2.3k
- Oncology 852
- Immunology 659
- Reproductive Medicine 260
Countries citing papers authored by Uma Chandran
This map shows the geographic impact of Uma Chandran'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 Uma Chandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Chandran more than expected).
Fields of papers citing papers by Uma Chandran
This network shows the impact of papers produced by Uma Chandran. 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 Uma Chandran. The network helps show where Uma Chandran may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Chandran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression Hit paper breakdown → | 2005 | 612 |
| 2 | 2007 | 390 | |
| 3 | 2006 | 277 | |
| 4 | 2015 | 253 | |
| 5 | 2007 | 197 | |
| 6 | 2018 | 123 | |
| 7 | 2021 | 123 | |
| 8 | 2005 | 116 | |
| 9 | 2006 | 98 | |
| 10 | 2014 | 87 | |
| 11 | 1994 | 87 | |
| 12 | 2008 | 82 | |
| 13 | 1999 | 69 | |
| 14 | 1995 | 67 | |
| 15 | 2011 | 67 | |
| 16 | 1996 | 65 | |
| 17 | 2019 | 62 | |
| 18 | 2021 | 62 | |
| 19 | 2008 | 60 | |
| 20 | 2018 | 59 |
About Uma Chandran
Uma Chandran is a scholar working on Cancer Research, Transplantation, Immunology, Reproductive Medicine and Behavioral Neuroscience, having authored 96 papers that have together received 4.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (8 papers), Hypothalamic control of reproductive hormones (7 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Epigenetics and DNA Methylation (6 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (2.3k citations), Oncology (852 citations), Immunology (659 citations) and Reproductive Medicine (260 citations). Uma Chandran has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rajiv Dhir, Michael J. Becich, Federico A. Monzon, Donald Defranco, Robert W. Sobol, Simion I. Chiosea, Elena Jelezcova, Changqing Ma, George K. Michalopoulos and Robert L. Ferris. Their work appears in journals such as Cancer Research, Molecular Endocrinology, PLoS ONE, Molecular and Cellular Endocrinology and Clinical Cancer Research.
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.