Addanki P. Kumar
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer-related Molecular Pathways
- Pancreatic and Hepatic Oncology Research
Papers in
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- Polyamine Metabolism and Applications 5
- Epigenetics and DNA Methylation 4
-
- Prostate Cancer Treatment and Research 15
- Co-authors
- Rita Ghosh (33 shared papers)Thomas J. Slaga (3 shared papers)Andrew P. Butler (5 shared papers)William L. Alworth (3 shared papers)James W. Freeman (4 shared papers)Ian M. Thompson (6 shared papers)James E. Fitzpatrick (2 shared papers)Nagalakshmi Nadiminty (1 shared paper)
- Journals
- Molecular Carcinogenesis (9 papers)Cancer Letters (4 papers)Oncotarget (4 papers)Clinical Cancer Research (4 papers)The Prostate (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Addanki P. Kumar
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 101
- Cancer Research 373
- Oncology 493
- Toxicology 49
- Molecular Biology 957
- Pharmacology 109
Countries citing papers authored by Addanki P. Kumar
This map shows the geographic impact of Addanki P. Kumar'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 Addanki P. Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Addanki P. Kumar more than expected).
Fields of papers citing papers by Addanki P. Kumar
This network shows the impact of papers produced by Addanki P. Kumar. 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 Addanki P. Kumar. The network helps show where Addanki P. Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Addanki P. Kumar, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 180 | |
| 2 | 2004 | 170 | |
| 3 | 2016 | 133 | |
| 4 | 2000 | 101 | |
| 5 | 2017 | 85 | |
| 6 | 2007 | 77 | |
| 7 | 2001 | 77 | |
| 8 | 2008 | 69 | |
| 9 | 2014 | 63 | |
| 10 | 2014 | 55 | |
| 11 | 1995 | 49 | |
| 12 | 2014 | 48 | |
| 13 | 2008 | 48 | |
| 14 | 2007 | 46 | |
| 15 | 2018 | 43 | |
| 16 | 2016 | 39 | |
| 17 | 1999 | 38 | |
| 18 | 2021 | 37 | |
| 19 | 2003 | 37 | |
| 20 | 2022 | 35 |
About Addanki P. Kumar
Addanki P. Kumar is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Pharmacology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (15 papers), Estrogen and related hormone effects (6 papers), Polyamine Metabolism and Applications (5 papers), Cancer, Lipids, and Metabolism (5 papers), Epigenetics and DNA Methylation (4 papers), Berberine and alkaloids research (4 papers), Amino Acid Enzymes and Metabolism (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (373 citations), Oncology (493 citations), Toxicology (49 citations), Molecular Biology (957 citations) and Pharmacology (109 citations). Addanki P. Kumar has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Rita Ghosh, Thomas J. Slaga, Andrew P. Butler, William L. Alworth, James W. Freeman, Ian M. Thompson, James E. Fitzpatrick, Nagalakshmi Nadiminty, I‐Tien Yeh and Anand B. Karnad. Their work appears in journals such as Molecular Carcinogenesis, Cancer Letters, Oncotarget, Clinical Cancer Research and The Prostate.
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.