Jett Crowdis

1.1k total citations · 1 hit paper
8 papers, 326 citations indexed

About

Jett Crowdis is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jett Crowdis has authored 8 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jett Crowdis's work include Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Treatment and Research (4 papers) and Cancer, Lipids, and Metabolism (2 papers). Jett Crowdis is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Prostate Cancer Treatment and Research (4 papers) and Cancer, Lipids, and Metabolism (2 papers). Jett Crowdis collaborates with scholars based in United States, Netherlands and Switzerland. Jett Crowdis's co-authors include Eliezer M. Van Allen, Saud H. AlDubayan, Jihye Park, Rand Arafeh, David Liu, Camden Richter, Taylor E. Arnoff, William C. Hahn, Justin H. Hwang and Sydney Gang and has published in prestigious journals such as Nature, Science and Journal of Clinical Investigation.

In The Last Decade

Jett Crowdis

7 papers receiving 321 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Biologically informed deep neural network for prostate cancer discovery

2021 239 citations Haitham Elmarakeby, Justin H. Hwang et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jett Crowdis United States	5	160	90	76	71	49	8	326
Taylor E. Arnoff United States	6	172 1.1×	49 0.5×	55 0.7×	72 1.0×	44 0.9×	10	336
Rand Arafeh Israel	8	330 2.1×	96 1.1×	125 1.6×	71 1.0×	50 1.0×	9	536
Gillian O’Hurley Ireland	10	198 1.2×	87 1.0×	67 0.9×	50 0.7×	53 1.1×	15	369
Camden Richter United States	3	130 0.8×	39 0.4×	41 0.5×	71 1.0×	43 0.9×	3	255
Christina Y. Yu United States	10	306 1.9×	65 0.7×	130 1.7×	109 1.5×	100 2.0×	27	540
Norio Shinkai Japan	10	124 0.8×	46 0.5×	76 1.0×	106 1.5×	150 3.1×	14	408
Kevin Boehm United States	5	135 0.8×	67 0.7×	89 1.2×	128 1.8×	164 3.3×	8	433
Gopal Karemore Denmark	10	263 1.6×	90 1.0×	33 0.4×	99 1.4×	72 1.5×	19	443
Philip Stegmaier Germany	13	304 1.9×	27 0.3×	70 0.9×	43 0.6×	26 0.5×	21	498
Liren Jiang China	10	96 0.6×	105 1.2×	52 0.7×	60 0.8×	106 2.2×	25	307

Countries citing papers authored by Jett Crowdis

Since Specialization

Citations

This map shows the geographic impact of Jett 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 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 Crowdis more than expected).

Fields of papers citing papers by Jett Crowdis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jett 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 Crowdis. The network helps show where Jett Crowdis may publish in the future.

Co-authorship network of co-authors of Jett Crowdis

This figure shows the co-authorship network connecting the top 25 collaborators of Jett Crowdis. A scholar is included among the top collaborators of Jett Crowdis 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 Jett Crowdis. Jett Crowdis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Collins, Ryan L., Jett Crowdis, Amanda Garza, et al.. (2025). Rare germline structural variants increase risk for pediatric solid tumors. Science. 387(6729). eadq0071–eadq0071. 4 indexed citations

2.

Conway, Jake R., Jett Crowdis, Brendan Reardon, et al.. (2024). Somatic structural variants drive distinct modes of oncogenesis in melanoma. Journal of Clinical Investigation. 134(13).

3.

Yang, David D., Jiaming Huang, Jett Crowdis, et al.. (2023). Circulating tumor DNA and homologous recombination deficiency in bone-predominant mCRPC prior to radium-223 therapy.. Journal of Clinical Oncology. 41(6_suppl). 203–203. 2 indexed citations

4.

McKay, Rana R., Lucia Kwak, Jett Crowdis, et al.. (2021). Phase II Multicenter Study of Enzalutamide in Metastatic Castration-Resistant Prostate Cancer to Identify Mechanisms Driving Resistance. Clinical Cancer Research. 27(13). 3610–3619. 21 indexed citations

5.

Kuiken, Hendrik J., Sabin Dhakal, Laura M. Selfors, et al.. (2021). Clonal populations of a human TNBC model display significant functional heterogeneity and divergent growth dynamics in distinct contexts. Oncogene. 41(1). 112–124. 5 indexed citations

6.

Tewari, Alok K., Alexander T. M. Cheung, Jett Crowdis, et al.. (2021). Molecular features of exceptional response to neoadjuvant anti-androgen therapy in high-risk localized prostate cancer. Cell Reports. 36(10). 109665–109665. 25 indexed citations

7.

Elmarakeby, Haitham, Justin H. Hwang, Rand Arafeh, et al.. (2021). Biologically informed deep neural network for prostate cancer discovery. Nature. 598(7880). 348–352. 239 indexed citations breakdown →

8.

Crowdis, Jett, Meng Xiao He, Brendan Reardon, & Eliezer M. Van Allen. (2020). CoMut: visualizing integrated molecular information with comutation plots. Bioinformatics. 36(15). 4348–4349. 30 indexed citations

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.

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