Abdulmohammad Pezeshki

2.8k total citations · 1 hit paper
6 papers, 2.1k citations indexed

About

Abdulmohammad Pezeshki is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Abdulmohammad Pezeshki has authored 6 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Abdulmohammad Pezeshki's work include vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Mast cells and histamine (1 paper). Abdulmohammad Pezeshki is often cited by papers focused on vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Mast cells and histamine (1 paper). Abdulmohammad Pezeshki collaborates with scholars based in United States, Iran and Canada. Abdulmohammad Pezeshki's co-authors include Khashayarsha Khazaie, Grace Verzosa, Matej Durik, Jian Zhong, Cynthia J. Sieben, Bennett G. Childs, Jan M. van Deursen, Jordan D. Miller, Karthik B. Jeganathan and Darren J. Baker and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Frontiers in Immunology.

In The Last Decade

Abdulmohammad Pezeshki

6 papers receiving 2.0k citations

Hit Papers

Naturally occurring p16Ink4a-positive cells shorten healt... 2016 2026 2019 2022 2016 500 1000 1.5k
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.

  1. Naturally occurring p16Ink4a-positive cells shorten healthy lifespan
    2016 2.0k citations Darren J. Baker, Bennett G. Childs et al. Nature profile →

Peers

Abdulmohammad Pezeshki
Grace Verzosa United States
Reut Yosef Israel
Kurt O. Johnson United States
Anat Biran Israel
Yossi Ovadya Israel
Cynthia J. Sieben United States
Alejandra Hernandez‐Segura Netherlands
Jamil Nehme Netherlands
Jian Zhong China
Chisaka Kuehnemann United States
Grace Verzosa United States
Abdulmohammad Pezeshki
Citations per year, relative to Abdulmohammad Pezeshki Abdulmohammad Pezeshki (= 1×) peers Grace Verzosa

Countries citing papers authored by Abdulmohammad Pezeshki

Since Specialization
Citations

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

Fields of papers citing papers by Abdulmohammad Pezeshki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulmohammad Pezeshki

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

All Works

6 of 6 papers shown
1.
Pezeshki, Abdulmohammad, et al.. (2024). Evaluation of tumor response to immune checkpoint inhibitors by a 3D immunotumoroid model. Frontiers in Immunology. 15. 1356144–1356144. 1 indexed citations
2.
Pezeshki, Abdulmohammad, Inna G. Ovsyannikova, Brett A. McKinney, Gregory A. Poland, & Richard B. Kennedy. (2019). The role of systems biology approaches in determining molecular signatures for the development of more effective vaccines. Expert Review of Vaccines. 18(3). 253–267. 16 indexed citations
3.
Saadalla, Abdulrahman, Michael F. Gurish, Kristen L. Dennis, et al.. (2018). Mast cells promote small bowel cancer in a tumor stage-specific and cytokine-dependent manner. Proceedings of the National Academy of Sciences. 115(7). 1588–1592. 33 indexed citations
4.
Baker, Darren J., Bennett G. Childs, Matej Durik, et al.. (2016). Naturally occurring p16Ink4a-positive cells shorten healthy lifespan. Nature. 530(7589). 184–189. 1984 indexed citations breakdown →
5.
Pezeshki, Abdulmohammad, Fatemeh Sari Aslani, Abbas Ghaderi, & Mehrnoosh Doroudchi. (2006). p53 codon 72 polymorphism in basal cell carcinoma of the skin. Pathology & Oncology Research. 12(1). 29–33. 17 indexed citations
6.
Amani, Davar, Jaleh Zolghadri, Alamtaj Samsami Dehaghani, Abdulmohammad Pezeshki, & Abbas Ghaderi. (2004). The promoter region (−800, −509) polymorphisms of transforming growth factor-β1 (TGF-β1) gene and recurrent spontaneous abortion. Journal of Reproductive Immunology. 62(1-2). 159–166. 13 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.

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