Pegah Khosravi

2.2k total citations · 2 hit papers
25 papers, 1.3k citations indexed

About

Pegah Khosravi is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pegah Khosravi has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pegah Khosravi's work include Bioinformatics and Genomic Networks (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Pegah Khosravi is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (7 papers). Pegah Khosravi collaborates with scholars based in United States, Iran and Israel. Pegah Khosravi's co-authors include Olivier Elemento, Iman Hajirasouliha, Ehsan Kazemi, Kevin Boehm, Sohrab P. Shah, Jianjiong Gao, R. Vanguri, Marcin Imieliński, Alexandros Sigaras and Pantelis Zisimopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Cancer and Cancer Research.

In The Last Decade

Pegah Khosravi

25 papers receiving 1.2k citations

Hit 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.

Harnessing multimodal data integration to advance precision oncology

2021 324 citations Kevin Boehm, Pegah Khosravi et al. Nature reviews. Cancer profile →
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization

2019 272 citations Pegah Khosravi, Ehsan Kazemi et al. npj Digital Medicine profile →

Peers

Countries citing papers authored by Pegah Khosravi

Since Specialization

Citations

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

Fields of papers citing papers by Pegah Khosravi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pegah Khosravi

This figure shows the co-authorship network connecting the top 25 collaborators of Pegah Khosravi. A scholar is included among the top collaborators of Pegah Khosravi 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 Pegah Khosravi. Pegah Khosravi 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

#	Work	Indexed citations
1	AutoRadAI: a versatile artificial intelligence framework validated for detecting extracapsular extension in prostate cancer 2025 ·Biology Methods and Protocols ·Pegah Khosravi, (unknown), (unknown), (unknown), (unknown), (unknown), Christopher Smith, Márcio Covas Moschovas, Iman Hajirasouliha, Andrew J. Hung, (unknown), (unknown)	1
2	Artificial Intelligence–Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality 2025 ·Cancer Research ·Pegah Khosravi, Thomas J. Fuchs, David Joon Ho	3
3	AI‐Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches 2024 ·Journal of Magnetic Resonance Imaging ·Pegah Khosravi, (unknown), (unknown), (unknown), Javad Zahiri	14
4	Artificial intelligence in neuroradiology: a scoping review of some ethical challenges 2023 ·SHILAP Revista de lepidopterología ·Pegah Khosravi, Mark E. Schweitzer	9
5	Weakly-supervised tumor purity prediction from frozen H&E stained slides 2022 ·EBioMedicine ·Matthew Brendel, (unknown), (unknown), Michael Sigouros, Alexandros Sigaras, (unknown), Pegah Khosravi, Juan Miguel Mosquera, Olivier Elemento, Iman Hajirasouliha	14
6	A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study 2022 ·The Lancet Digital Health ·J. Wesley Barnes, Matthew Brendel, Vianne R. Gao, Suraj Rajendran, Junbum Kim, (unknown), Jonas Malmsten, (unknown), Pantelis Zisimopoulos, Alexandros Sigaras, Pegah Khosravi, Marcos Meseguer, Qiansheng Zhan, Zev Rosenwaks, Olivier Elemento, Nikica Zaninović, Iman Hajirasouliha	65
7	Harnessing multimodal data integration to advance precision oncology breakdown → 2021 ·Nature reviews. Cancer ·Kevin Boehm, Pegah Khosravi, R. Vanguri, Jianjiong Gao, Sohrab P. Shah	324
8	Deep learning predicts chromosomal instability from histopathology images 2021 ·iScience ·Zhuoran Xu, Akanksha Verma, (unknown), Samuel F. Bakhoum, Pegah Khosravi, Olivier Elemento	32
9	A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology–Radiology Fusion 2021 ·Journal of Magnetic Resonance Imaging ·Pegah Khosravi, (unknown), Mahmoud Eljalby, (unknown), Ehsan Kazemi, Pantelis Zisimopoulos, Alexandros Sigaras, Matthew Brendel, J. Wesley Barnes, Camir Ricketts, Dmitry Meleshko, (unknown), Timothy McClure, Brian D. Robinson, Andrea Sboner, Olivier Elemento, Bilal Chughtai, Iman Hajirasouliha	82
10	Flux variability analysis reveals a tragedy of commons in cancer cells 2020 ·SN Applied Sciences ·Yazdan Asgari, Pegah Khosravi	4
11	Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization breakdown → 2019 ·npj Digital Medicine ·Pegah Khosravi, Ehsan Kazemi, Qiansheng Zhan, Jonas Malmsten, Marco Toschi, Pantelis Zisimopoulos, Alexandros Sigaras, Stuart Lavery, Lee Cooper, Cristina Hickman, Marcos Meseguer, Zev Rosenwaks, Olivier Elemento, Nikica Zaninović, Iman Hajirasouliha	272
12	Breast Cancer Histopathological Image Classification: A Deep Learning Approach 2018 ·Mahboubeh Jannesari, (unknown), (unknown), Pegah Khosravi, Olivier Elemento, Mehdi Totonchi, Iman Hajirasouliha	65
13	Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images 2017 ·EBioMedicine ·Pegah Khosravi, Ehsan Kazemi, Marcin Imieliński, Olivier Elemento, Iman Hajirasouliha	216
14	Inferring interaction type in gene regulatory networks using co-expression data 2015 ·Algorithms for Molecular Biology ·Pegah Khosravi, Vahid Gazestani, Leila Pirhaji, Brian K. Law, (unknown), Bahram Goliaei, Gary D. Bader	21
15	THE EFFECTS OF COGNITIVE THERAPY BASED ON MINDFULNESS ON DECREASING THE SYMPTOMS OF POST TRAUMATIC STRESS DISORDER AND INCREASING THE AUTOBIOGRAPHICAL MEMORY IN TREATED PATIENTS WITH BREAST CANCER 2014 ·SHILAP Revista de lepidopterología ·(unknown), Alireza Moradi, Pegah Khosravi	1
16	Network-based approach reveals Y chromosome influences prostate cancer susceptibility 2014 ·Computers in Biology and Medicine ·Pegah Khosravi, Vahid Gazestani, Yazdan Asgari, Brian K. Law, (unknown), Bahram Goliaei	16
17	Analysis of candidate genes has proposed the role of y chromosome in human prostate cancer. 2014 ·PubMed ·Pegah Khosravi, Javad Zahiri, Vahid Gazestani, (unknown), Mohammad Akbarzadeh, Mehdi Sadeghi, Bahram Goliaei	3
18	Predicting distinct organization of transcription factor binding sites on the promoter regions: a new genome-based approach to expand human embryonic stem cell regulatory network 2013 ·Gene ·(unknown), Mohammad Reza Bakhtiarizadeh, Pegah Khosravi, Esmaeil Ebrahimie	26
19	Optimizing in vitro propagation of Rosa persica 2010 ·Maryam Jafarkhani Kermani, Pegah Khosravi, (unknown)	1
20	Role of mitotic inhibitors and genotype on chromosome doubling of Rosa 2007 ·Euphytica ·Pegah Khosravi, Maryam Jafarkhani Kermani, Ghorbanali Nematzadeh, Mohammad Reza Bihamta, Kazutomo Yokoya	55

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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