Anil V. Parwani

24.5k total citations · 7 hit papers
493 papers, 13.5k citations indexed

About

Anil V. Parwani is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Anil V. Parwani has authored 493 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Pulmonary and Respiratory Medicine, 117 papers in Artificial Intelligence and 114 papers in Molecular Biology. Recurrent topics in Anil V. Parwani's work include AI in cancer detection (116 papers), Radiomics and Machine Learning in Medical Imaging (48 papers) and Renal and related cancers (42 papers). Anil V. Parwani is often cited by papers focused on AI in cancer detection (116 papers), Radiomics and Machine Learning in Medical Imaging (48 papers) and Renal and related cancers (42 papers). Anil V. Parwani collaborates with scholars based in United States, Italy and Canada. Anil V. Parwani's co-authors include Liron Pantanowitz, Henry B Armah, Metin N. Gürcan, Muhammad Khalid Khan Niazi, Linda J. Saif, Jonathan I. Epstein, Zaibo Li, Navid Farahani, Syed Z. Ali and Stephen M. Lagana and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Anil V. Parwani

473 papers receiving 13.1k citations

Hit Papers

5 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.

A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score

2015 945 citations Anil V. Parwani et al. profile →
Digital pathology and artificial intelligence

2019 718 citations Anil V. Parwani et al. profile →
Validating Whole Slide Imaging for Diagnostic Purposes in Pathology: Guideline from the College of American Pathologists Pathology and Laboratory Quality Center

2013 436 citations Liron Pantanowitz, Anil V. Parwani et al. Archives of Pathology & Laboratory Medicine profile →
A visual-language foundation model for computational pathology

2024 228 citations Anil V. Parwani, Faisal Mahmood et al. profile →
A multimodal generative AI copilot for human pathology

2024 156 citations Ankush Patel, Anil V. Parwani et al. profile →
Artificial intelligence in diagnostic pathology

2023 128 citations Saba Shafi, Anil V. Parwani Diagnostic Pathology profile →
Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review

2024 121 citations Ehsan Ullah, Anil V. Parwani et al. Diagnostic Pathology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anil V. Parwani United States	56	4.2k	3.6k	2.9k	2.7k	2.6k	493	13.5k
Michael D. Feldman United States	63	3.6k 0.9×	2.5k 0.7×	3.2k 1.1×	5.1k 1.9×	4.3k 1.7×	276	15.3k
Liron Pantanowitz United States	54	4.4k 1.1×	1.4k 0.4×	2.7k 1.0×	4.0k 1.5×	1.2k 0.5×	609	12.8k
André L. Moreira United States	53	1.2k 0.3×	3.9k 1.1×	1.8k 0.6×	2.8k 1.0×	2.7k 1.1×	185	11.6k
Ian A. Cree United Kingdom	48	1.2k 0.3×	3.4k 1.0×	2.9k 1.0×	4.9k 1.8×	4.7k 1.8×	230	17.6k
Susan M. Swetter United States	42	3.7k 0.9×	1.0k 0.3×	2.7k 0.9×	6.7k 2.5×	2.3k 0.9×	141	15.1k
Frederick Klauschen Germany	46	2.1k 0.5×	1.1k 0.3×	881 0.3×	2.6k 1.0×	2.8k 1.1×	201	10.5k
Dirk Jäger Germany	48	1.0k 0.2×	1.9k 0.5×	2.1k 0.7×	6.8k 2.6×	2.9k 1.1×	220	11.8k
Peter J. Wild Germany	65	616 0.1×	2.5k 0.7×	871 0.3×	2.7k 1.0×	6.8k 2.7×	394	14.4k
P. J. van Diest Netherlands	75	2.8k 0.7×	3.1k 0.9×	4.0k 1.4×	8.3k 3.1×	7.5k 2.9×	669	25.4k
Gerald J. Berry United States	73	678 0.2×	5.3k 1.5×	1.3k 0.5×	2.8k 1.0×	2.8k 1.1×	336	19.6k

Countries citing papers authored by Anil V. Parwani

Since Specialization

Citations

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

Fields of papers citing papers by Anil V. Parwani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anil V. Parwani. 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 Anil V. Parwani. The network helps show where Anil V. Parwani may publish in the future.

Co-authorship network of co-authors of Anil V. Parwani

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Parwani, Anil V., et al.. (2025). An update on applications of digital pathology: primary diagnosis; telepathology, education and research. Diagnostic Pathology. 20(1). 17–17. 4 indexed citations

Ullah, Ehsan, Andrey Bychkov, Andrew H. Song, et al.. (2025). Generative Artificial Intelligence in Anatomic Pathology. Archives of Pathology & Laboratory Medicine. 149(4). 298–318. 7 indexed citations

Hu, Yan, Dan Jones, Weiqiang Zhao, et al.. (2025). Incidence, Clinicopathologic Features, and Follow-Up Results of human epidermal growth factor receptor-2–Ultralow Breast Carcinoma. Modern Pathology. 38(8). 100783–100783. 2 indexed citations

Ullah, Ehsan, Anil V. Parwani, Mirza Mansoor Baig, & Rajendra Singh. (2024). Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review. Diagnostic Pathology. 19(1). 43–43. 121 indexed citations breakdown →

Graf, Erin H., et al.. (2024). Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis. American Journal of Clinical Pathology. 163(2). 162–168. 1 indexed citations

Shen, Rulong, Swati Satturwar, Peter Kobalka, et al.. (2024). Automated imaging analysis of Ki-67 immunohistochemistry on whole slide images of cell blocks from pancreatic neuroendocrine neoplasms. Journal of the American Society of Cytopathology. 13(3). 205–212. 4 indexed citations

Kim, David, Michael J. Thrall, Pamela Michelow, et al.. (2024). The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(5). 319–328. 13 indexed citations

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

Huang, Zhi, Anil V. Parwani, Kun Huang, & Zaibo Li. (2023). Abstract 5436: Developing artificial intelligence algorithms to predict response to neoadjuvant chemotherapy in HER2-positive breast cancer. Cancer Research. 83(7_Supplement). 5436–5436. 1 indexed citations

10.

Qasem, Shadi, et al.. (2021). Primary localized amyloidosis of the ureter with osseous metaplasia presenting as a suspicious ureteral mass. Urology Case Reports. 41. 101967–101967. 2 indexed citations

11.

Nitta, Hiroaki, et al.. (2018). Identification of HER2 Immunohistochemistry-Negative, FISH-Amplified Breast Cancers and Their Response to Anti-HER2 Neoadjuvant Chemotherapy. American Journal of Clinical Pathology. 151(2). 176–184. 20 indexed citations

12.

Hou, Yanjun, Hiroaki Nitta, Lai Wei, et al.. (2018). PD-L1 expression and CD8-positive T cells are associated with favorable survival in HER2-positive invasive breast cancer. The Breast Journal. 24(6). 911–919. 56 indexed citations

13.

Cheng, Jun, Jie Zhang, Xusheng Wang, et al.. (2017). Integrative Analysis of Histopathological Images and Genomic Data Predicts Clear Cell Renal Cell Carcinoma Prognosis. Cancer Research. 77(21). e91–e100. 98 indexed citations

14.

Hou, Yanjun, Hiroaki Nitta, Lai Wei, et al.. (2017). HER2 intratumoral heterogeneity is independently associated with incomplete response to anti-HER2 neoadjuvant chemotherapy in HER2-positive breast carcinoma. Breast Cancer Research and Treatment. 166(2). 447–457. 61 indexed citations

15.

Stevenson, Heather L., Qingping Yang, Michael Scott, et al.. (2014). Informatics. Laboratory Investigation. 94. 394–405. 1 indexed citations

16.

Yu, Guoying, Jose D. Herazo‐Maya, Tomoko Nukui, et al.. (2014). Matrix Metalloproteinase-19 Promotes Metastatic Behavior In Vitro and is Associated with Increased Mortality in Non–Small Cell Lung Cancer. American Journal of Respiratory and Critical Care Medicine. 190(7). 780–790. 52 indexed citations

17.

Roy, Somak, Marie Acquafondata, Ming Yin, et al.. (2013). Amylase α-1A (AMY1A). The American Journal of Surgical Pathology. 37(12). 1824–1830. 14 indexed citations

18.

Yu, Guoying, Anil V. Parwani, Daniel J. Kass, et al.. (2012). Matrix Metalloproteinase-19 Is a Key Regulator of Lung Fibrosis in Mice and Humans. American Journal of Respiratory and Critical Care Medicine. 186(8). 752–762. 82 indexed citations

19.

Zhang, Guangfeng, Xuwan Liu, Adam M. Farkas, et al.. (2008). Estrogen Receptor β Functions through Nongenomic Mechanisms in Lung Cancer Cells. Molecular Endocrinology. 23(2). 146–156. 99 indexed citations

20.

Parwani, Anil V., et al.. (2003). Solitary fibrous tumor of the thyroid: Cytopathologic findings and differential diagnosis. Diagnostic Cytopathology. 28(4). 213–216. 31 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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