Anupama Reddy
- Molecular Biology top 5%
- Epidemiology top 2%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Cell Biology top 5%
- Co-authors
- Gyan BhanotHsin-Yi ChenRobert S. DiPaolaKevin BrayRobin MathewGuanghua ChenEileen WhiteVassiliki Karantza‐Wadsworth
- Topics
- Renal cell carcinoma treatment (8 papers)Cancer Genomics and Diagnostics (5 papers)Gene expression and cancer classification (5 papers)
- Journals
- CellCirculationNature Communications
- Partner nations
- United StatesDenmarkUnited Kingdom
In The Last Decade
Anupama Reddy
41 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.4k
- Epidemiology 1.2k
- Cancer Research 578
- Pulmonary and Respiratory Medicine 350
- Cell Biology 266
Countries citing papers authored by Anupama Reddy
This map shows the geographic impact of Anupama Reddy'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 Anupama Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupama Reddy more than expected).
Fields of papers citing papers by Anupama Reddy
This network shows the impact of papers produced by Anupama Reddy. 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 Anupama Reddy. The network helps show where Anupama Reddy may publish in the future.
Co-authorship network of co-authors of Anupama Reddy
This figure shows the co-authorship network connecting the top 25 collaborators of Anupama Reddy. A scholar is included among the top collaborators of Anupama Reddy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anupama Reddy. Anupama Reddy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 35 | |
| 14 | 8 | |
| 15 | 45 | |
| 16 | 205 | |
| 17 | 243 | |
| 18 | A Predictor for Survival in Intermediate Grade Clear Cell Renal Cell Carcinoma. | 1 |
| 19 | Autophagy Suppresses Tumorigenesis through Elimination of p62breakdown → | 1437 |
| 20 | 20 |
About Anupama Reddy
Anupama Reddy is a scholar working on Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (8 papers), Cancer Genomics and Diagnostics (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Physiology (185 citations), Cancer Research (578 citations) and Geriatrics and Gerontology (131 citations). Anupama Reddy has collaborated with scholars based in United States, Denmark and United Kingdom. Frequent co-authors include Gyan Bhanot, Hsin-Yi Chen, Robert S. DiPaola, Kevin Bray, Robin Mathew, Guanghua Chen, Eileen White, Vassiliki Karantza‐Wadsworth, Céline Gélinas and Brian Beaudoin. Their work appears in journals such as Cell, Circulation and Nature Communications.
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.