Liron Pantanowitz

20.9k total citations · 3 hit papers
609 papers, 12.8k citations indexed

About

Liron Pantanowitz is a scholar working on Oncology, Artificial Intelligence and Surgery. According to data from OpenAlex, Liron Pantanowitz has authored 609 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Oncology, 164 papers in Artificial Intelligence and 121 papers in Surgery. Recurrent topics in Liron Pantanowitz's work include AI in cancer detection (160 papers), Viral-associated cancers and disorders (80 papers) and Lymphoma Diagnosis and Treatment (50 papers). Liron Pantanowitz is often cited by papers focused on AI in cancer detection (160 papers), Viral-associated cancers and disorders (80 papers) and Lymphoma Diagnosis and Treatment (50 papers). Liron Pantanowitz collaborates with scholars based in United States, Italy and South Africa. Liron Pantanowitz's co-authors include Bruce J. Dezube, Anil V. Parwani, Hamid R. Tizhoosh, Sara E. Monaco, Andrew Evans, Navid Farahani, Walid E. Khalbuss, Matthew G. Hanna, Esther Diana Rossi and Walter H. Henricks and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Liron Pantanowitz

576 papers receiving 12.4k citations

Hit Papers

align trajectories sort by overperformance

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.

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. profile →
Artificial Intelligence and Digital Pathology: Challenges and Opportunities

2018 330 citations Hamid R. Tizhoosh, Liron Pantanowitz Journal of Pathology Informatics profile →
Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

2024 121 citations Matthew G. Hanna, Liron Pantanowitz et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Liron Pantanowitz	4.4k	4.0k	2.7k	1.8k	1.7k	609	12.8k
Anil V. Parwani	4.2k 1.0×	2.7k 0.7×	2.9k 1.0×	1.9k 1.1×	1.1k 0.6×	493	13.5k
Joann G. Elmore	3.2k 0.7×	5.0k 1.2×	2.7k 1.0×	627 0.4×	1.7k 1.0×	291	14.8k
Michael D. Feldman	3.6k 0.8×	5.1k 1.3×	3.2k 1.2×	1.3k 0.7×	786 0.5×	276	15.3k
Susan M. Swetter	3.7k 0.9×	6.7k 1.7×	2.7k 1.0×	648 0.4×	2.4k 1.4×	141	15.1k
Justin Ko	3.7k 0.8×	2.3k 0.6×	2.6k 0.9×	481 0.3×	1.0k 0.6×	89	9.8k
Ian A. Cree	1.2k 0.3×	4.9k 1.2×	2.9k 1.0×	2.0k 1.2×	2.8k 1.6×	230	17.6k
P. J. van Diest	2.8k 0.6×	8.3k 2.0×	4.0k 1.4×	3.4k 1.9×	1.6k 0.9×	669	25.4k
Frederick Klauschen	2.1k 0.5×	2.6k 0.7×	881 0.3×	857 0.5×	626 0.4×	201	10.5k
Donald L. Weaver	2.5k 0.6×	8.3k 2.0×	3.0k 1.1×	5.8k 3.3×	1.0k 0.6×	222	20.3k
Roberto A. Novoa	3.5k 0.8×	2.3k 0.6×	2.5k 0.9×	463 0.3×	969 0.6×	78	8.7k

Countries citing papers authored by Liron Pantanowitz

Since Specialization

Citations

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

Fields of papers citing papers by Liron Pantanowitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liron Pantanowitz

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

All Works

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20 of 20 papers shown

Oliva, Antonio, Simone Grassi, Vincenzo Arena, et al.. (2025). iForensic, multicentric validation of digital whole slide images (WSI) in forensic histopathology setting according to the College of American Pathologists guidelines. International Journal of Legal Medicine. 139(3). 1161–1168. 2 indexed citations

Elishaev, Esther, Rohit Bhargava, Liron Pantanowitz, et al.. (2025). Assessment of the efficacy and accuracy of cervical cytology screening with the Hologic Genius Digital Diagnostics System. Cancer Cytopathology. 133(7). e70022–e70022. 1 indexed citations

Torous, Vanda F., Zubair Baloch, Richard Cantley, et al.. (2024). Cytologic features of differentiated high‐grade thyroid carcinoma: A multi‐institutional study of 40 cases. Cancer Cytopathology. 132(8). 525–536. 6 indexed citations

Riaño-Moreno, Julián C., et al.. (2024). Globalization of a telepathology network with artificial intelligence applications in Colombia: The GLORIA program study protocol. Journal of Pathology Informatics. 15. 100394–100394. 5 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

Chen, Heather, et al.. (2024). Second opinion for pulmonary and pleural cytology is valuable for patient care. Journal of the American Society of Cytopathology. 13(5). 367–376.

Jing, Xin, et al.. (2023). Concordance of second opinion diagnosis in salivary gland cytopathology: experience from a single academic institution. Diagnostic histopathology. 29(8). 380–385. 2 indexed citations

Cheng, Jerome, et al.. (2023). Utility of Machine Learning to Detect Cytomegalovirus in Digital Hematoxylin and Eosin–Stained Slides. Laboratory Investigation. 103(10). 100225–100225. 1 indexed citations

Marletta, Stefano, Vincenzo L’Imperio, Albino Eccher, et al.. (2023). Artificial intelligence-based tools applied to pathological diagnosis of microbiological diseases. Pathology - Research and Practice. 243. 154362–154362. 27 indexed citations

10.

Kim, David, Oscar Lin, Momin T. Siddiqui, et al.. (2023). The Current State of Whole Slide Imaging and Artificial Intelligence in Cytology Practice: Global Survey Results from the American Society of Cytopathology Digital Cytology White Paper Task Force. Journal of the American Society of Cytopathology. 12(5). S72–S73. 1 indexed citations

11.

Swanson, Amy A. & Liron Pantanowitz. (2023). The evolution of cervical cancer screening. Journal of the American Society of Cytopathology. 13(1). 10–15. 15 indexed citations

12.

Abdulfatah, Eman, Yoav Morag, Liron Pantanowitz, et al.. (2023). Conventional chondrosarcoma of the rib cage and sternum: clinicopathological and molecular analysis of 27 patients treated at a single institution. Human Pathology. 136. 63–74. 4 indexed citations

13.

Lew, Madelyn, et al.. (2022). Performance of Afirma genomic sequencing classifier and histopathological outcome are associated with patterns of atypia in Bethesda category III thyroid nodules. Cancer Cytopathology. 130(11). 891–898. 7 indexed citations

14.

Girolami, Ilaria, Liron Pantanowitz, Massimo Barberis, et al.. (2021). Challenges facing pathologists evaluating PD‐L1 in head & neck squamous cell carcinoma. Journal of Oral Pathology and Medicine. 50(9). 864–873. 35 indexed citations

15.

Ma, Changqing, Chad Storer, Uma Chandran, et al.. (2021). Crohn's disease-associated ATG16L1 T300A genotype is associated with improved survival in gastric cancer. EBioMedicine. 67. 103347–103347. 17 indexed citations

16.

Pantanowitz, Liron. (2020). Handling of Thyroid FNA Samples During the COVID-19 Pandemic. Clinical Thyroidology. 32(5). 239–241. 3 indexed citations

17.

Kalra, Shivam, Hamid R. Tizhoosh, Charles Q. Choi, et al.. (2020). Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images. Medical Image Analysis. 65. 101757–101757. 76 indexed citations

18.

Monaco, Sara E., et al.. (2019). Cytologic Evaluation of Tumor-Infiltrating Lymphocytes for Adoptive Cell Therapy. American Journal of Clinical Pathology. 153(4). 513–523. 1 indexed citations

19.

Firnhaber, Cynthia, et al.. (2018). The relationship between menopausal women infected with the human immunodeficiency virus and cervical atrophy: A cytologic study. Diagnostic Cytopathology. 47(4). 302–306. 1 indexed citations

20.

Pantanowitz, Liron, Graziella M. Abu‐Jawdeh, & Jeffrey T. Joseph. (2000). Other contents. Fertility and Sterility. 74(1). 162–162.

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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