Pouya Faridi

3.4k total citations
86 papers, 1.7k citations indexed

About

Pouya Faridi is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Pouya Faridi has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Immunology and 18 papers in Oncology. Recurrent topics in Pouya Faridi's work include vaccines and immunoinformatics approaches (18 papers), Essential Oils and Antimicrobial Activity (15 papers) and Immunotherapy and Immune Responses (13 papers). Pouya Faridi is often cited by papers focused on vaccines and immunoinformatics approaches (18 papers), Essential Oils and Antimicrobial Activity (15 papers) and Immunotherapy and Immune Responses (13 papers). Pouya Faridi collaborates with scholars based in Iran, Australia and United States. Pouya Faridi's co-authors include Abdolali Mohagheghzadeh, Anthony W. Purcell, Younes Ghasemi, Nathan P. Croft, Sri H. Ramarathinam, Rochelle Ayala, Arman Zargaran, Saeid Daneshamouz, Patricia T. Illing and Afshin Borhani‐Haghighi and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Pouya Faridi

81 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pouya Faridi Iran 23 832 352 319 244 238 86 1.7k
Jacob Gopas Israel 23 697 0.8× 318 0.9× 246 0.8× 122 0.5× 291 1.2× 112 1.9k
Cheng Luo China 28 1.2k 1.4× 348 1.0× 147 0.5× 103 0.4× 147 0.6× 95 2.6k
Sing‐Chung Li Taiwan 25 926 1.1× 306 0.9× 244 0.8× 194 0.8× 102 0.4× 56 2.0k
Jin‐Chul Kim South Korea 27 972 1.2× 430 1.2× 231 0.7× 131 0.5× 141 0.6× 90 2.0k
Rohit Sharma India 25 699 0.8× 160 0.5× 103 0.3× 261 1.1× 204 0.9× 104 1.7k
Vasily N. Dobrovolsky United States 28 1.1k 1.4× 173 0.5× 311 1.0× 161 0.7× 137 0.6× 89 2.1k
Yoshinori Kitagawa Japan 28 1.1k 1.3× 371 1.1× 292 0.9× 96 0.4× 107 0.4× 111 2.5k
Chuan Zhang China 26 1.4k 1.7× 203 0.6× 137 0.4× 136 0.6× 291 1.2× 103 2.2k
Milad Moloudizargari Iran 22 767 0.9× 165 0.5× 338 1.1× 126 0.5× 111 0.5× 44 1.8k
Miao He China 21 692 0.8× 143 0.4× 193 0.6× 140 0.6× 179 0.8× 69 1.6k

Countries citing papers authored by Pouya Faridi

Since Specialization
Citations

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

Fields of papers citing papers by Pouya Faridi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pouya Faridi

This figure shows the co-authorship network connecting the top 25 collaborators of Pouya Faridi. A scholar is included among the top collaborators of Pouya Faridi 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 Pouya Faridi. Pouya Faridi 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.
Garde, Christian, Sri H. Ramarathinam, Mateo Sokač, et al.. (2025). Endogenous viral elements constitute a complementary source of antigens for personalized cancer vaccines. npj Vaccines. 10(1). 54–54. 2 indexed citations
2.
Wang, Chuanmin, Pouya Faridi, Asolina Braun, et al.. (2025). Discovery of conserved peptide-MHC epitopes for directly alloreactive CD8+ T cells. PubMed. 4. 1525003–1525003. 1 indexed citations
3.
Ramarathinam, Sri H., Chen Li, Patricia T. Illing, et al.. (2024). MHCpLogics: an interactive machine learning-based tool for unsupervised data visualization and cluster analysis of immunopeptidomes. Briefings in Bioinformatics. 25(2). 4 indexed citations
4.
Ramarathinam, Sri H., et al.. (2023). Benchmarking Bioinformatics Pipelines in Data-Independent Acquisition Mass Spectrometry for Immunopeptidomics. Molecular & Cellular Proteomics. 22(4). 100515–100515. 15 indexed citations
5.
Revote, Jerico, Sri H. Ramarathinam, Pouya Faridi, et al.. (2023). Immunolyser: A web-based computational pipeline for analysing and mining immunopeptidomic data. Computational and Structural Biotechnology Journal. 21. 1678–1687. 6 indexed citations
6.
Sian, Terry C.C. Lim Kam, Joel R. Steele, Anthony W. Purcell, et al.. (2023). SAPrIm, a semi-automated protocol for mid-throughput immunopeptidomics. Frontiers in Immunology. 14. 1107576–1107576. 6 indexed citations
7.
Li, Chen, Jerico Revote, Sri H. Ramarathinam, et al.. (2021). Resourcing, annotating, and analysing synthetic peptides of SARS‐CoV‐2 for immunopeptidomics and other immunological studies. PROTEOMICS. 21(17-18). e2100036–e2100036. 5 indexed citations
8.
Hamelin, David, Kevin A. Kovalchik, Isabelle Sirois, et al.. (2021). RHybridFinder: An R package to process immunopeptidomic data for putative hybrid peptide discovery. STAR Protocols. 2(4). 100875–100875. 3 indexed citations
9.
Faridi, Pouya, Katherine Woods, Simone Ostrouska, et al.. (2020). Spliced Peptides and Cytokine-Driven Changes in the Immunopeptidome of Melanoma. Cancer Immunology Research. 8(10). 1322–1334. 41 indexed citations
10.
Ayala, Rochelle, Sri H. Ramarathinam, Patricia T. Illing, et al.. (2020). Immunopeptidomic Analysis Reveals That Deamidated HLA-bound Peptides Arise Predominantly from Deglycosylated Precursors. Molecular & Cellular Proteomics. 19(7). 1236–1247. 28 indexed citations
11.
Faridi, Ava, Wen Yang, Hannah G. Kelly, et al.. (2019). Differential Roles of Plasma Protein Corona on Immune Cell Association and Cytokine Secretion of Oligomeric and Fibrillar Beta-Amyloid. Biomacromolecules. 20(11). 4208–4217. 14 indexed citations
12.
13.
Zarshenas, Mohammad M., et al.. (2018). Impact of two different extraction methods on chemical composition and antimicrobial activities of multi-ingredients essential oils and hydrosols. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Faridi, Pouya, et al.. (2018). Hot And Cold: An Old Theory With Modern Applications. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Faridi, Pouya, Chen Li, Sri H. Ramarathinam, et al.. (2018). A subset of HLA-I peptides are not genomically templated: Evidence for cis- and trans-spliced peptide ligands. Science Immunology. 3(28). 119 indexed citations
16.
Mohagheghzadeh, Abdolali, et al.. (2016). Olive Leaf: From Tradition to Clinic. SHILAP Revista de lepidopterología. 3 indexed citations
17.
Sakhteman, Amirhossein, et al.. (2016). Volatile composition analysis of five different Commiphora mukul (Hook. ex Stocks) Engl. gum samples. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Faridi, Pouya, et al.. (2015). Natural remedies in the Canon of Medicine for dentistry and oral biology. SHILAP Revista de lepidopterología. 3 indexed citations
19.
Zarshenas, Mohammad M., et al.. (2013). Sphygmology of Ibn Sina, a message for future. SHILAP Revista de lepidopterología. 14(3). 155–155. 6 indexed citations
20.
Faridi, Pouya, et al.. (2011). Gout Remedies in Traditional Iranian Medicine (TIM). SHILAP Revista de lepidopterología.

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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