Joshua Levy

1.5k total citations
72 papers, 639 citations indexed

About

Joshua Levy is a scholar working on Artificial Intelligence, Molecular Biology and Surgery. According to data from OpenAlex, Joshua Levy has authored 72 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Joshua Levy's work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Mental Health via Writing (6 papers). Joshua Levy is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Mental Health via Writing (6 papers). Joshua Levy collaborates with scholars based in United States, United Kingdom and Germany. Joshua Levy's co-authors include Brock C. Christensen, Louis Vaickus, A. James O’Malley, Lucas A. Salas, Alexander Titus, Curtis L. Petersen, Youdinghuan Chen, Christian C. Haudenschild, Faraz Farhadi and Jessica M. Sin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

Joshua Levy

65 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Levy United States 13 196 155 102 95 80 72 639
Omri Bar United States 8 95 0.5× 154 1.0× 81 0.8× 98 1.0× 74 0.9× 16 653
Peng Xue China 17 283 1.4× 145 0.9× 201 2.0× 103 1.1× 162 2.0× 68 1.0k
Fernando Collado‐Mesa United States 14 182 0.9× 40 0.3× 243 2.4× 57 0.6× 151 1.9× 40 802
Weiting Huang Singapore 17 66 0.3× 117 0.8× 72 0.7× 104 1.1× 99 1.2× 71 802
Jingshan Huang United States 14 164 0.8× 291 1.9× 60 0.6× 29 0.3× 35 0.4× 69 742
Andrew Blyth Australia 9 55 0.3× 94 0.6× 139 1.4× 117 1.2× 27 0.3× 16 693
Benjamin Ulfenborg Sweden 10 124 0.6× 193 1.2× 95 0.9× 35 0.4× 24 0.3× 26 560
Gregory Patrick Veldhuizen Germany 11 349 1.8× 55 0.4× 292 2.9× 58 0.6× 69 0.9× 24 784
Boris Oskotsky United States 8 120 0.6× 313 2.0× 59 0.6× 44 0.5× 122 1.5× 12 747
Peiyi Xie China 11 57 0.3× 72 0.5× 169 1.7× 54 0.6× 87 1.1× 27 535

Countries citing papers authored by Joshua Levy

Since Specialization
Citations

This map shows the geographic impact of Joshua Levy'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 Joshua Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Levy more than expected).

Fields of papers citing papers by Joshua Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Levy

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

All Works

20 of 20 papers shown
1.
Anderson, Elizabeth C., Zhongzheng Niu, Joshua Levy, et al.. (2025). Blood Pressure and Late Pregnancy Circulating miRNAs in the MADRES Study. Journal of the American Heart Association. 14(12). e040416–e040416.
2.
Diallo, Alos, Vasanth Ravikumar, Kevin A. Cornell, et al.. (2024). Integrative co-registration of elemental imaging and histopathology for enhanced spatial multimodal analysis of tissue sections through TRACE. Bioinformatics Advances. 5(1). vbaf001–vbaf001.
3.
Levy, Joshua, et al.. (2024). Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk Veterans. Psychiatry Research. 339. 116097–116097. 2 indexed citations
4.
Levy, Joshua, Michael J. Davis, Brock C. Christensen, et al.. (2024). Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site. npj Precision Oncology. 8(1). 2–2. 8 indexed citations
5.
Pinto-Powell, Roshini, et al.. (2024). Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study. Medical Education Online. 29(1). 2315684–2315684. 11 indexed citations
6.
Levy, Joshua, et al.. (2023). Paired-agent imaging as a rapid en face margin screening method in Mohs micrographic surgery. Frontiers in Oncology. 13. 1196517–1196517. 1 indexed citations
7.
Levy, Joshua, Jonathan D. Marotti, Darcy A. Kerr, et al.. (2023). Large‐scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis‐X. Cancer Cytopathology. 131(10). 637–654. 9 indexed citations
8.
Levy, Joshua, Darcy A. Kerr, Louis Vaickus, et al.. (2023). Use of molecular testing results to analyze the overuse of atypia of undetermined significance in thyroid cytology. Journal of the American Society of Cytopathology. 12(6). 451–460. 4 indexed citations
9.
10.
Tafe, Laura J., Sophie J. Deharvengt, Gregory J. Tsongalis, et al.. (2023). Utility of Retrospective Molecular Analysis in Diagnostically Challenging Mesenchymal Neoplasms. International Journal of Surgical Pathology. 31(8). 1473–1484. 2 indexed citations
11.
Levy, Joshua, Jonathan D. Marotti, Darcy A. Kerr, et al.. (2023). Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytology. Cancer Cytopathology. 131(9). 561–573. 7 indexed citations
12.
Levy, Joshua, et al.. (2022). Leveraging unstructured electronic medical record notes to derive population-specific suicide risk models. Psychiatry Research. 315. 114703–114703. 17 indexed citations
13.
Levy, Joshua, Xiaoying Liu, Jonathan D. Marotti, et al.. (2022). Large-scale longitudinal comparison of urine cytological classification systems reveals potential early adoption of The Paris System criteria. Journal of the American Society of Cytopathology. 11(6). 394–402. 3 indexed citations
14.
Levy, Joshua, Xiaoying Liu, Jonathan D. Marotti, et al.. (2022). Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning–based image preprocessing technique. Cancer Cytopathology. 131(1). 19–29. 9 indexed citations
15.
Petersen, Curtis L., Youdinghuan Chen, Joshua Levy, et al.. (2021). DNA 5-hydroxymethylcytosine in pediatric central nervous system tumors may impact tumor classification and is a positive prognostic marker. Clinical Epigenetics. 13(1). 176–176. 10 indexed citations
16.
Marotti, Jonathan D., Darcy A. Kerr, Joshua Levy, et al.. (2021). Using molecular testing to improve the management of thyroid nodules with indeterminate cytology: an institutional experience with review of molecular alterations. Journal of the American Society of Cytopathology. 11(2). 79–86. 16 indexed citations
17.
Levy, Joshua, Youdinghuan Chen, Curtis L. Petersen, et al.. (2021). MethylSPWNet and MethylCapsNet: Biologically Motivated Organization of DNAm Neural Networks, Inspired by Capsule Networks. npj Systems Biology and Applications. 7(1). 33–33. 12 indexed citations
18.
Levy, Joshua, Arief A. Suriawinata, Xiaoying Liu, et al.. (2020). A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies. Modern Pathology. 34(4). 808–822. 29 indexed citations
19.
Levy, Joshua, Lucas A. Salas, Brock C. Christensen, Aravindhan Sriharan, & Louis Vaickus. (2019). PathFlowAI: A High-Throughput Workflow for Preprocessing, Deep Learning and Interpretation in Digital Pathology. PubMed. 25. 403–414. 11 indexed citations
20.
Levy, Joshua, Alexander Titus, Lucas A. Salas, & Brock C. Christensen. (2019). PyMethylProcess—convenient high-throughput preprocessing workflow for DNA methylation data. Bioinformatics. 35(24). 5379–5381. 7 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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