David P. Frishberg

1.1k total citations
33 papers, 760 citations indexed

About

David P. Frishberg is a scholar working on Oncology, Surgery and Dermatology. According to data from OpenAlex, David P. Frishberg has authored 33 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 10 papers in Surgery and 7 papers in Dermatology. Recurrent topics in David P. Frishberg's work include Cutaneous Melanoma Detection and Management (7 papers), Tumors and Oncological Cases (4 papers) and Cancer and Skin Lesions (4 papers). David P. Frishberg is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), Tumors and Oncological Cases (4 papers) and Cancer and Skin Lesions (4 papers). David P. Frishberg collaborates with scholars based in United States, Australia and Canada. David P. Frishberg's co-authors include Bonnie Balzer, Xuemo Fan, Víctor G. Prieto, Leonard C. Sperling, Richard B. Mertens, Ann E. Walts, Alberto M. Marchevsky, Erich M. Gaertner, Robert A. Soslow and Michael T. Deavers and has published in prestigious journals such as Cancer, The Journal of Urology and The American Journal of Surgical Pathology.

In The Last Decade

David P. Frishberg

31 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David P. Frishberg United States 14 353 224 123 108 104 33 760
Zeina Ghorab Canada 18 252 0.7× 196 0.9× 309 2.5× 52 0.5× 129 1.2× 62 892
Xu Cai China 19 394 1.1× 214 1.0× 61 0.5× 50 0.5× 67 0.6× 53 888
Gyeong Sin Park South Korea 15 206 0.6× 126 0.6× 61 0.5× 34 0.3× 122 1.2× 40 727
Costantino Ricci Italy 17 314 0.9× 236 1.1× 25 0.2× 114 1.1× 60 0.6× 92 786
Felicity Frost Australia 17 156 0.4× 234 1.0× 33 0.3× 54 0.5× 150 1.4× 31 711
Akeesha A. Shah United States 16 281 0.8× 412 1.8× 27 0.2× 55 0.5× 171 1.6× 36 723
Beverly Y. Wang United States 21 531 1.5× 524 2.3× 53 0.4× 75 0.7× 177 1.7× 58 1.3k
Janusz Kopczyński Poland 18 367 1.0× 453 2.0× 52 0.4× 59 0.5× 194 1.9× 78 1.4k
Georgia Karayannopoulou Greece 19 361 1.0× 384 1.7× 19 0.2× 51 0.5× 85 0.8× 67 1.0k
Lourdes R. Ylagan United States 20 492 1.4× 485 2.2× 63 0.5× 21 0.2× 80 0.8× 40 1.1k

Countries citing papers authored by David P. Frishberg

Since Specialization
Citations

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

Fields of papers citing papers by David P. Frishberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Frishberg. 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 David P. Frishberg. The network helps show where David P. Frishberg may publish in the future.

Co-authorship network of co-authors of David P. Frishberg

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Frishberg. A scholar is included among the top collaborators of David P. Frishberg 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 David P. Frishberg. David P. Frishberg 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.
Frishberg, David P., et al.. (2024). Benign and Non-Neoplastic Urinary Tract Lesions. 1. 3–3.
2.
Rezaee, Neda, et al.. (2023). The Intricate Relationship Between H3K27 Trimethylation and Merkel Cell Polyomavirus Status in Merkel Cell Carcinoma. American Journal of Dermatopathology. 45(11). 783–785. 1 indexed citations
3.
Gharavi, Nima M., et al.. (2022). Immunohistochemistry for Preferentially Expressed Antigen in Melanoma in the Differential Diagnosis of Melanocytic Lesions of the Nail Apparatus. American Journal of Dermatopathology. 44(7). 488–492. 12 indexed citations
4.
5.
Mohanty, Sambit K., Dinesh Pradhan, Shivani Kandukuri, et al.. (2018). Microphthalmia-associated transcription factor (MiTF): Promiscuous staining patterns in fibrohistiocytic lesions is a potential pitfall. Pathology - Research and Practice. 214(6). 821–825. 10 indexed citations
6.
Lai, Jinping, Yong Yue, Wei Zhang, et al.. (2017). Comparison of endoscopic ultrasound guided fine needle aspiration and PET/CT in preoperative diagnosis of pancreatic adenocarcinoma. Pancreatology. 17(4). 617–622. 7 indexed citations
7.
Brown, Richard W., Richard N. Eisen, David P. Frishberg, et al.. (2015). Uniform Labeling of Blocks and Slides in Surgical Pathology: Guideline From the College of American Pathologists Pathology and Laboratory Quality Center and the National Society for Histotechnology. Archives of Pathology & Laboratory Medicine. 139(12). 1515–1524. 9 indexed citations
8.
Mertens, Richard B., et al.. (2015). GATA3 Expression in Normal Skin and in Benign and Malignant Epidermal and Cutaneous Adnexal Neoplasms. American Journal of Dermatopathology. 37(12). 885–891. 51 indexed citations
9.
Kanner, William A., et al.. (2013). Reticulin and NM23 Staining in the Interpretation of Lymph Nodal Nevus Rests. American Journal of Dermatopathology. 35(4). 452–457. 11 indexed citations
10.
Singh, Krishna K., Stephen Moore, Bonnie Balzer, et al.. (2013). Congenital Malignant Melanoma. American Journal of Dermatopathology. 35(8). e135–e138. 9 indexed citations
11.
Balzer, Bonnie, et al.. (2012). Nevic Mitoses. American Journal of Dermatopathology. 35(1). 30–33. 8 indexed citations
12.
13.
Fan, Linlin, et al.. (2010). Lymph node retrieval from colorectal resection specimens for adenocarcinoma: is it worth the extra effort to find at least 12 nodes?. Colorectal Disease. 13(12). 1377–1383. 21 indexed citations
14.
Fan, Lifang, David P. Frishberg, Xuemo Fan, et al.. (2010). Interobserver and intraobserver variability in evaluating vascular invasion in hepatocellular carcinoma. Journal of Gastroenterology and Hepatology. 25(9). 1556–1561. 30 indexed citations
15.
Braunstein, Glenn D., et al.. (2010). Unusual Case of Multiple Endocrine Neoplasia Type 2A Syndrome Without Medullary Thyroid Carcinoma. Endocrine Practice. 17(2). e4–e7. 2 indexed citations
16.
Marchevsky, Alberto M., Ann E. Walts, S Bose, et al.. (2009). Evidence‐based evaluation of the risks of malignancy predicted by thyroid fine‐needle aspiration biopsies. Diagnostic Cytopathology. 38(4). 252–259. 75 indexed citations
17.
Malpica, Anaís, Michael T. Deavers, Carmen Tornos, et al.. (2007). Interobserver and Intraobserver Variability of a Two-tier System for Grading Ovarian Serous Carcinoma. The American Journal of Surgical Pathology. 31(8). 1168–1174. 107 indexed citations
18.
Sardi, Armando, et al.. (2002). The Benefit of Using Two Techniques for Sentinel Lymph Node Mapping in Breast Cancer. The American Surgeon. 68(1). 24–28. 26 indexed citations
19.
Hicks, Karen A., et al.. (1996). Echocardiographic evaluation of papillary fibroelastoma: A case report and review of the literature. Journal of the American Society of Echocardiography. 9(3). 353–360. 30 indexed citations
20.
Frishberg, David P., et al.. (1990). A solitary testicular relapse of a rhabdomyosarcoma in an adult. Cancer. 65(11). 2611–2614. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zeina Ghorab Breakdown of academic impact, for papers by Xu Cai Breakdown of academic impact, for papers by Gyeong Sin Park Breakdown of academic impact, for papers by Costantino Ricci Breakdown of academic impact, for papers by Felicity Frost Breakdown of academic impact, for papers by Akeesha A. Shah Breakdown of academic impact, for papers by Beverly Y. Wang Breakdown of academic impact, for papers by Janusz Kopczyński Breakdown of academic impact, for papers by Georgia Karayannopoulou Breakdown of academic impact, for papers by Lourdes R. Ylagan
Rankless by CCL
2026