Abdulmohammad Pezeshki

2.8k citations
6 papers · 2.1k indexed · 1 hit paper · h-index 5
Topics
vaccines and immunoinformatics approaches (1 paper)SARS-CoV-2 and COVID-19 Research (1 paper)Mast cells and histamine (1 paper)
Partner nations
United StatesIranCanada

In The Last Decade

Abdulmohammad Pezeshki

6 papers receiving 2.0k citations

Hit Papers

Naturally occurring p16Ink4a-positive cells shorten healt...2016202620192022201650010001.5k

Peers

Abdulmohammad Pezeshki
Comparison fields: 5 of 109
  • Physiology 1.2k
  • Molecular Biology 929
  • Immunology 538
  • Aging 351
  • Epidemiology 217
Replace Grace Verzosa with:
Grace Verzosa United States
Cynthia J. Sieben United States
Reut Yosef Israel
Kurt O. Johnson United States
Yossi Ovadya Israel
Alejandra Hernandez‐Segura Netherlands
Anat Biran Israel
Jian Zhong China
Jamil Nehme Netherlands
Chisaka Kuehnemann United States
Abdulmohammad Pezeshki relative to Grace Verzosa United States Grace Verzosa's profile →
Citations per field
00.5×1.5×
Grace Verzosa · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 16
3 33
4
Naturally occurring p16Ink4a-positive cells shorten healthy lifespanbreakdown →
1984
5 17
6 13

About Abdulmohammad Pezeshki

Abdulmohammad Pezeshki is a scholar working on Immunology, Oncology and Cancer Research, having authored 6 papers that have together received 2.1k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Aging (351 citations), Physiology (1.2k citations) and Immunology (538 citations). Abdulmohammad Pezeshki has collaborated with scholars based in United States, Iran and Canada. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Frontiers in Immunology.

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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