Jett P. Crowdis
Impact in
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- Cancer Genomics and Diagnostics
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
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- Cancer Genomics and Diagnostics 7
- Cancer, Lipids, and Metabolism 2
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- Prostate Cancer Treatment and Research 6
- Prostate Cancer Diagnosis and Treatment 2
- Co-authors
- Eliezer M. Van Allen (6 shared papers)Jihye Park (3 shared papers)Saud H. AlDubayan (3 shared papers)Taylor E. Arnoff (1 shared paper)Haitham Elmarakeby (1 shared paper)Justin H. Hwang (1 shared paper)Rand Arafeh (1 shared paper)David Liu (1 shared paper)
- Journals
- Clinical Cancer Research (3 papers)Nature Communications (2 papers)Science (1 paper)Nature Medicine (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Jett P. Crowdis
14 papers receiving 733 citations
Jett P. Crowdis's Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 139
- Pulmonary and Respiratory Medicine 245
- Oncology 127
- Health Informatics 7
- Molecular Biology 292
Countries citing papers authored by Jett P. Crowdis
This map shows the geographic impact of Jett P. Crowdis'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 Jett P. Crowdis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jett P. Crowdis more than expected).
Fields of papers citing papers by Jett P. Crowdis
This network shows the impact of papers produced by Jett P. Crowdis. 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 Jett P. Crowdis. The network helps show where Jett P. Crowdis may publish in the future.
Co-authors
The 25 scholars most cited alongside Jett P. Crowdis, 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 | Biologically informed deep neural network for prostate cancer discovery Hit paper breakdown → | 2021 | 297 |
| 2 | 2021 | 127 | |
| 3 | 2021 | 115 | |
| 4 | 2020 | 45 | |
| 5 | 2024 | 37 | |
| 6 | 2021 | 32 | |
| 7 | 2021 | 27 | |
| 8 | 2018 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2025 | 12 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 0 | |
| 16 | 2026 | 0 |
About Jett P. Crowdis
Jett P. Crowdis is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Oncology, Genetics and Ecological Modeling, having authored 16 papers that have together received 743 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (6 papers), BRCA gene mutations in cancer (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), CRISPR and Genetic Engineering (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Cancer Research (139 citations), Pulmonary and Respiratory Medicine (245 citations), Oncology (127 citations), Health Informatics (7 citations) and Molecular Biology (292 citations). Jett P. Crowdis has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Eliezer M. Van Allen, Jihye Park, Saud H. AlDubayan, Taylor E. Arnoff, Haitham Elmarakeby, Justin H. Hwang, Rand Arafeh, David Liu, Sydney Gang and Keyan Salari. Their work appears in journals such as Clinical Cancer Research, Nature Communications, Science, Nature Medicine and Bioinformatics.
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.