Ankush Patel

629 total citations · 1 hit paper
19 papers, 324 citations indexed

About

Ankush Patel is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Ankush Patel has authored 19 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in Ankush Patel's work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (3 papers). Ankush Patel is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Cell Image Analysis Techniques (3 papers). Ankush Patel collaborates with scholars based in United States, India and Canada. Ankush Patel's co-authors include Anil V. Parwani, Giovanni Lujan, David S. McClintock, Zaibo Li, Ming Y. Lu, Dimitra Pouli, Melissa Zhao, Liron Pantanowitz, Long P. Le and Judy J. Wang and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Archives of Pathology & Laboratory Medicine.

In The Last Decade

Ankush Patel

16 papers receiving 313 citations

Hit Papers

A multimodal generative AI copilot for human pathology 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankush Patel United States 8 181 120 72 39 35 19 324
Kevin Faust Canada 8 172 1.0× 164 1.4× 149 2.1× 37 0.9× 31 0.9× 12 380
Ivy Liang United States 2 228 1.3× 161 1.3× 72 1.0× 52 1.3× 33 0.9× 3 385
Ronnachai Jaroensri United States 5 200 1.1× 151 1.3× 54 0.8× 44 1.1× 24 0.7× 7 328
Eric F. Glassy United States 9 164 0.9× 103 0.9× 41 0.6× 33 0.8× 43 1.2× 21 358
Marko van Treeck Germany 11 209 1.2× 178 1.5× 50 0.7× 45 1.2× 28 0.8× 21 345
Lorraine Corsale United States 6 237 1.3× 124 1.0× 35 0.5× 25 0.6× 49 1.4× 6 301
Peter Truszkowski United States 2 211 1.2× 187 1.6× 66 0.9× 45 1.2× 24 0.7× 2 341
Hammad Qureshi Pakistan 8 167 0.9× 107 0.9× 37 0.5× 29 0.7× 34 1.0× 24 321
Christine England United States 5 270 1.5× 134 1.1× 42 0.6× 29 0.7× 55 1.6× 5 340
Luoting Zhuang United States 2 157 0.9× 170 1.4× 69 1.0× 55 1.4× 15 0.4× 5 336

Countries citing papers authored by Ankush Patel

Since Specialization
Citations

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

Fields of papers citing papers by Ankush Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankush Patel

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

All Works

19 of 19 papers shown
1.
Patel, Ankush, et al.. (2025). Novel liquid immunocytochemistry with machine learning analysis for bladder cancer detection. Journal of Histotechnology. 49(1). 4–12.
2.
Lu, Ming Y., Bowen Chen, Drew F. K. Williamson, et al.. (2024). A multimodal generative AI copilot for human pathology. Nature. 634(8033). 466–473. 156 indexed citations breakdown →
3.
Patel, Ankush, Matthew G. Hanna, Jochen K. Lennerz, et al.. (2024). Bridging the Clinical-Computational Transparency Gap in Digital Pathology. Archives of Pathology & Laboratory Medicine. 149(3). 276–287. 2 indexed citations
4.
Patel, Ankush, et al.. (2024). The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare. SHILAP Revista de lepidopterología. 4(2). 1363–1383. 15 indexed citations
5.
Patel, Ankush, et al.. (2023). Whole Slide Imaging Technology and Its Applications: Current and Emerging Perspectives. International Journal of Surgical Pathology. 32(3). 433–448. 26 indexed citations
6.
Niedt, George, et al.. (2023). A Rare Presentation of an Isolated Vulvar Lesion in an Elderly Female: Challenge. American Journal of Dermatopathology. 45(11). e93–e94.
7.
Phelps, Robert, George Niedt, Ankush Patel, et al.. (2023). Cutaneous Atypical Fibroxanthoma With Osteoclast-Like Giant Cell: A Rare but Diagnostic Pitfall. American Journal of Dermatopathology. 45(10). 704–707. 1 indexed citations
8.
Shilo, Konstantin, Ashwini Esnakula, Saba Shafi, et al.. (2023). Comparison of four different displays for identification of select pathologic features extracted from whole slide images of surgical pathology cases. Pathology - Research and Practice. 251. 154843–154843. 1 indexed citations
9.
Niedt, George, et al.. (2023). Isolated Primary Langerhans Cell Histiocytosis of the Vulva: Answer. American Journal of Dermatopathology. 45(11). 776–776.
10.
Patel, Ankush, Christopher L. Williams, Steven N. Hart, et al.. (2023). Cybersecurity and Information Assurance for the Clinical Laboratory. The Journal of Applied Laboratory Medicine. 8(1). 145–161. 11 indexed citations
11.
Patel, Ankush, et al.. (2022). Anastomosing hemangioma: A case report of a benign tumor often misdiagnosed as a malignant epithelioid angiosarcoma. Urology Case Reports. 42. 102023–102023. 2 indexed citations
12.
Parwani, Anil V., Ankush Patel, Ming Zhou, et al.. (2022). An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS). Journal of Pathology Informatics. 14. 100177–100177. 6 indexed citations
13.
Patel, Ankush, Sambit K. Mohanty, & Anil V. Parwani. (2022). Applications of Digital and Computational Pathology and Artificial Intelligence in Genitourinary Pathology Diagnostics. Surgical pathology clinics. 15(4). 759–785. 7 indexed citations
14.
Patel, Ankush, et al.. (2022). Posterior Ischemic Optic Neuropathy Because of Hematologic Malignancy. Journal of Neuro-Ophthalmology. 44(1). e52–e54. 1 indexed citations
15.
Patel, Ankush, et al.. (2022). Types and frequency of whole slide imaging scan failures in a clinical high throughput digital pathology scanning laboratory. Journal of Pathology Informatics. 13. 100112–100112. 15 indexed citations
16.
Dewangan, Ashish, et al.. (2022). A Broad Review of Biodiesel Feedstocks with Competency to Replace Diesel. Lecture notes in mechanical engineering. 285–296. 2 indexed citations
17.
Patel, Ankush, et al.. (2022). Cultivating Clinical Clarity through Computer Vision: A Current Perspective on Whole Slide Imaging and Artificial Intelligence. Diagnostics. 12(8). 1778–1778. 8 indexed citations
18.
Patel, Ankush, Ulysses J. Balis, Jerome Cheng, et al.. (2021). Contemporary Whole Slide Imaging Devices and Their Applications within the Modern Pathology Department: A Selected Hardware Review. Journal of Pathology Informatics. 12(1). 50–50. 67 indexed citations
19.
Grover, Ted, et al.. (2021). Classifying Reasonability in Retellings of Personal Events Shared on Social Media: A Preliminary Case Study with /r/AmITheAsshole. Proceedings of the International AAAI Conference on Web and Social Media. 15. 1075–1079. 4 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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