Peyman Tavassoli

1.1k total citations
13 papers, 658 citations indexed

About

Peyman Tavassoli is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Peyman Tavassoli has authored 13 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Peyman Tavassoli's work include Estrogen and related hormone effects (4 papers), Prostate Cancer Treatment and Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Peyman Tavassoli is often cited by papers focused on Estrogen and related hormone effects (4 papers), Prostate Cancer Treatment and Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Peyman Tavassoli collaborates with scholars based in Canada, United States and Italy. Peyman Tavassoli's co-authors include Peter C. Black, Paul S. Rennie, Xiaoyan Deng, Chao Jin, Simon P. Duffy, Hongshen Ma, Ladan Fazli, Peter Axerio-Cilies, Artem Cherkasov and Carlos F. Villamil and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Medicinal Chemistry.

In The Last Decade

Peyman Tavassoli

12 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peyman Tavassoli Canada 8 188 175 160 153 116 13 658
Brent M. Kuenzi United States 13 76 0.4× 130 0.7× 524 3.3× 45 0.3× 56 0.5× 22 923
Eun Jung Choi South Korea 21 86 0.5× 173 1.0× 671 4.2× 184 1.2× 33 0.3× 73 1.4k
Michael A. Mackey United States 20 163 0.9× 64 0.4× 653 4.1× 43 0.3× 54 0.5× 27 1.1k
Michael P. Menden Germany 15 66 0.4× 87 0.5× 677 4.2× 86 0.6× 43 0.4× 41 1.2k
Jue Hou United States 15 109 0.6× 63 0.4× 395 2.5× 39 0.3× 58 0.5× 48 963
Michaël Moret Switzerland 12 121 0.6× 144 0.8× 398 2.5× 260 1.7× 13 0.1× 17 1.0k
Clement Chung United States 14 28 0.1× 72 0.4× 515 3.2× 67 0.4× 60 0.5× 49 955
Stanley Chun-Wei Lee United States 20 71 0.4× 102 0.6× 983 6.1× 35 0.2× 86 0.7× 54 1.7k
Kaihong Liu United States 11 56 0.3× 54 0.3× 220 1.4× 89 0.6× 34 0.3× 14 557
Mark E. Bernard United States 15 81 0.4× 270 1.5× 184 1.1× 22 0.1× 20 0.2× 72 858

Countries citing papers authored by Peyman Tavassoli

Since Specialization
Citations

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

Fields of papers citing papers by Peyman Tavassoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peyman Tavassoli

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

All Works

13 of 13 papers shown
1.
2.
Keyes, Mira, et al.. (2020). Clinical and pathological characteristics of bladder cancer in post brachytherapy patients. Pathology - Research and Practice. 216(3). 152822–152822. 7 indexed citations
3.
Nir, Guy, Davood Karimi, S. Larry Goldenberg, et al.. (2019). Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images. JAMA Network Open. 2(3). e190442–e190442. 70 indexed citations
4.
Nir, Guy, Davood Karimi, Ladan Fazli, et al.. (2018). Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts. Medical Image Analysis. 50. 167–180. 116 indexed citations
5.
Vlachostergios, Panagiotis J., Brian D. Robinson, Bhavneet Bhinder, et al.. (2018). Upper tract urothelial carcinoma is non-basal and T-cell depleted.. Journal of Clinical Oncology. 36(15_suppl). 4525–4525. 1 indexed citations
6.
Huang, Linda, Helen Fernandes, Peyman Tavassoli, et al.. (2016). The cancer precision medicine knowledge base for structured clinical-grade mutations and interpretations. Journal of the American Medical Informatics Association. 24(3). 513–519. 67 indexed citations
7.
Li, Huifang, Mohamed D.H. Hassona, Nathan A. Lack, et al.. (2013). Characterization of a New Class of Androgen Receptor Antagonists with Potential Therapeutic Application in Advanced Prostate Cancer. Molecular Cancer Therapeutics. 12(11). 2425–2435. 24 indexed citations
8.
Jin, Chao, Simon P. Duffy, Xiaoyan Deng, et al.. (2013). Technologies for label-free separation of circulating tumor cells: from historical foundations to recent developments. Lab on a Chip. 14(1). 32–44. 170 indexed citations
9.
Tavassoli, Peyman, Ryan F. Paterson, & Jennifer Grant. (2012). Actinobaculum schaalii: An Emerging Uropathogen?. SHILAP Revista de lepidopterología. 2012. 1–2. 6 indexed citations
10.
Lack, Nathan A., Peter Axerio-Cilies, Peyman Tavassoli, et al.. (2011). Correction to Targeting the Binding Function 3 (BF3) Site of the Human Androgen Receptor through Virtual Screening. Journal of Medicinal Chemistry. 55(1). 565–565. 3 indexed citations
11.
Lack, Nathan A., Peter Axerio-Cilies, Peyman Tavassoli, et al.. (2011). Targeting the Binding Function 3 (BF3) Site of the Human Androgen Receptor through Virtual Screening.. Journal of Medicinal Chemistry. 54(24). 8563–8573. 129 indexed citations
12.
Tavassoli, Peyman, Latif A. Wafa, Helen Cheng, et al.. (2010). TAF1 Differentially Enhances Androgen Receptor Transcriptional Activity via Its N-Terminal Kinase and Ubiquitin-Activating and -Conjugating Domains. Molecular Endocrinology. 24(4). 696–708. 40 indexed citations
13.

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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