Kenneth J. Pienta
- Molecular Biology top 0.05%
- Oncology top 0.02%
- Pulmonary and Respiratory Medicine top 0.01%
- Cancer Research top 0.02%
- Immunology top 0.1%
- Co-authors
- Mark A. RubinRussell S. TaichmanSooryanarayana VaramballySaravana M. DhanasekaranRajal B. ShahDonald S. CoffeyArul M. ChinnaiyanSarah R. Amend
- Topics
- Prostate Cancer Treatment and Research (301 papers)Prostate Cancer Diagnosis and Treatment (93 papers)Radiopharmaceutical Chemistry and Applications (89 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Kenneth J. Pienta
655 papers receiving 48.9k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Molecular Biology 21.8k
- Oncology 18.0k
- Pulmonary and Respiratory Medicine 17.5k
- Cancer Research 12.1k
- Immunology 7.2k
Countries citing papers authored by Kenneth J. Pienta
This map shows the geographic impact of Kenneth J. Pienta'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 Kenneth J. Pienta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth J. Pienta more than expected).
Fields of papers citing papers by Kenneth J. Pienta
This network shows the impact of papers produced by Kenneth J. Pienta. 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 Kenneth J. Pienta. The network helps show where Kenneth J. Pienta may publish in the future.
Co-authorship network of co-authors of Kenneth J. Pienta
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth J. Pienta. A scholar is included among the top collaborators of Kenneth J. Pienta 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 Kenneth J. Pienta. Kenneth J. Pienta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 76 | |
| 6 | 40 | |
| 7 | 42 | |
| 8 | 93 | |
| 9 | Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clustersbreakdown → | 541 |
| 10 | 35 | |
| 11 | 37 | |
| 12 | 60 | |
| 13 | 67 | |
| 14 | 88 | |
| 15 | 159 | |
| 16 | 131 | |
| 17 | Circulating Tumor Cells Predict Survival Benefit from Treatment in Metastatic Castration-Resistant Prostate Cancerbreakdown → | 1744 |
| 18 | 167 | |
| 19 | 388 | |
| 20 | Recurrent Fusion of TMPRSS2 and ETS Transcription Factor Genes in Prostate Cancerbreakdown → | 2820 |
About Kenneth J. Pienta
Kenneth J. Pienta is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 675 papers that have together received 49.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (301 papers), Prostate Cancer Diagnosis and Treatment (93 papers) and Radiopharmaceutical Chemistry and Applications (89 papers). The work is most often cited by research in Cancer Research (12.1k citations), Oncology (18.0k citations) and Pulmonary and Respiratory Medicine (17.5k citations). Kenneth J. Pienta has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Mark A. Rubin, Russell S. Taichman, Sooryanarayana Varambally, Saravana M. Dhanasekaran, Rajal B. Shah, Donald S. Coffey, Arul M. Chinnaiyan, Sarah R. Amend, Arul M. Chinnaiyan and Scott A. Tomlins. Their work appears in journals such as Nature, Science and New England Journal of 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.