George J. Netto
- Cancer Research top 0.2%
- Cancer Genomics and Diagnostics 34
- Pulmonary and Respiratory Medicine top 0.1%
- Renal cell carcinoma treatment 61
- Prostate Cancer Treatment and Research 58
- Prostate Cancer Diagnosis and Treatment 37
- Oncology top 0.5%
- Urology top 0.5%
- Surgery top 0.2%
- Bladder and Urothelial Cancer Treatments 121
- Urinary and Genital Oncology Studies 76
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- Renal and related cancers 43
- Epigenetics and DNA Methylation 33
- Co-authors
- Jonathan I. EpsteinPedram ArganiAngelo M. De MarzoAlcides ChauxJessica HicksRoula AlbadineHiroshi MiyamotoAlan K. Meeker
- Journals
- Journal of Clinical Investigation (1 paper)Nature Genetics (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
George J. Netto
378 papers receiving 17.4k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Cancer Research 3.5k
- Pulmonary and Respiratory Medicine 7.4k
- Oncology 4.6k
- Urology 771
- Surgery 5.2k
Countries citing papers authored by George J. Netto
This map shows the geographic impact of George J. Netto'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 George J. Netto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George J. Netto more than expected).
Fields of papers citing papers by George J. Netto
This network shows the impact of papers produced by George J. Netto. 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 George J. Netto. The network helps show where George J. Netto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George J. Netto, 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 | 2022 | 26 | |
| 2 | 2022 | 61 | |
| 3 | 2020 | 15 | |
| 4 | 2020 | 4 | |
| 5 | 2018 | 41 | |
| 6 | 2017 | 85 | |
| 7 | 2017 | 56 | |
| 8 | 2017 | 62 | |
| 9 | 2016 | 133 | |
| 10 | 2015 | 22 | |
| 11 | 2015 | 43 | |
| 12 | 2013 | 261 | |
| 13 | 2013 | 200 | |
| 14 | Uropathology : high-yield pathology | 2012 | 6 |
| 15 | 2011 | 262 | |
| 16 | 2011 | 97 | |
| 17 | 2010 | 62 | |
| 18 | 2010 | 2 | |
| 19 | 2009 | 122 | |
| 20 | 2007 | 49 |
About George J. Netto
George J. Netto is a scholar working on Pulmonary and Respiratory Medicine, Urology and Cancer Research, having authored 390 papers that have together received 17.6k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (121 papers), Urinary and Genital Oncology Studies (76 papers), Renal cell carcinoma treatment (61 papers), Prostate Cancer Treatment and Research (58 papers), Renal and related cancers (43 papers), Prostate Cancer Diagnosis and Treatment (37 papers), Cancer Genomics and Diagnostics (34 papers) and Epigenetics and DNA Methylation (33 papers). The work is most often cited by research in Cancer Research (3.5k citations), Pulmonary and Respiratory Medicine (7.4k citations) and Oncology (4.6k citations). George J. Netto has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Jonathan I. Epstein, Pedram Argani, Angelo M. De Marzo, Alcides Chaux, Jessica Hicks, Roula Albadine, Hiroshi Miyamoto, Alan K. Meeker, Antoun Toubaji and Rajni Sharma. Their work appears in journals such as Journal of Clinical Investigation, Nature Genetics and The Journal of Experimental Medicine.
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.