Ganesh Moorthy
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
-
- PARP inhibition in cancer therapy
- Cancer Immunotherapy and Biomarkers
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 6
- Protein Degradation and Inhibitors 2
- Oncology 8
- PARP inhibition in cancer therapy 6
- CAR-T cell therapy research 2
- Co-authors
- P. Brian Smith (2 shared papers)Ira M. Cheifetz (2 shared papers)Kelly C. Wade (2 shared papers)Daniel K. Benjamin (2 shared papers)Michael Cohen‐Wolkowiez (2 shared papers)Pankaj B. Desai (6 shared papers)Christoph P. Hornik (1 shared paper)William Hope (1 shared paper)
- Journals
- Journal of Clinical Oncology (6 papers)Cancer Research (4 papers)The Pediatric Infectious Disease Journal (2 papers)British Journal of Clinical Pharmacology (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Ganesh Moorthy
22 papers receiving 475 citations
Peers
Comparison fields: 5 of 66
- Physiology 37
- Oncology 143
- Genetics 50
- Infectious Diseases 75
- Pharmacology 66
Countries citing papers authored by Ganesh Moorthy
This map shows the geographic impact of Ganesh Moorthy'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 Ganesh Moorthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganesh Moorthy more than expected).
Fields of papers citing papers by Ganesh Moorthy
This network shows the impact of papers produced by Ganesh Moorthy. 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 Ganesh Moorthy. The network helps show where Ganesh Moorthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Ganesh Moorthy, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2010 | 83 | |
| 3 | 2022 | 60 | |
| 4 | 2022 | 60 | |
| 5 | 2012 | 44 | |
| 6 | 2019 | 39 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 17 | |
| 9 | 2023 | 17 | |
| 10 | 2015 | 11 | |
| 11 | 2015 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2013 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2020 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2015 | 1 |
About Ganesh Moorthy
Ganesh Moorthy is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Physiology and Cancer Research, having authored 22 papers that have together received 495 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Adenosine and Purinergic Signaling (3 papers), Prostate Cancer Treatment and Research (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer, Lipids, and Metabolism (2 papers), Advanced Breast Cancer Therapies (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Physiology (37 citations), Oncology (143 citations), Genetics (50 citations), Infectious Diseases (75 citations) and Pharmacology (66 citations). Ganesh Moorthy has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include P. Brian Smith, Ira M. Cheifetz, Kelly C. Wade, Daniel K. Benjamin, Michael Cohen‐Wolkowiez, Pankaj B. Desai, Christoph P. Hornik, William Hope, Jeffrey S. Barrett and John C. Morris. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, The Pediatric Infectious Disease Journal, British Journal of Clinical Pharmacology and Molecular Cancer Therapeutics.
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.