Iman Fatemi

95 papers receiving 1.8k citations

Peers

Iman Fatemi
Comparison fields: 5 of 121
  • Biological Psychiatry 58
  • Endocrine and Autonomic Systems 132
  • Pharmacology 173
  • Pathology and Forensic Medicine 249
  • Complementary and alternative medicine 110
Replace Heena Tabassum with:
Heena Tabassum India
Mohammad Khaksari Iran
Weijin Zang China
Ashutosh Kumar India
Jun Hwi Cho South Korea
Mariapia Colleoni Italy
Hiroshi Tsuneki Japan
Zunji Ke China
Vinod Tiwari India
Weixun Duan China
Iman Fatemi relative to Heena Tabassum India Heena Tabassum's profile →
Citations per field
00.5×1.5×2.0×
Heena Tabassum · 1×
Citations per year

Countries citing papers authored by Iman Fatemi

Since Specialization
Citations

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

Fields of papers citing papers by Iman Fatemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iman Fatemi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iman Fatemi Line = papers co-authored together Iman Fatemi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017111
2 201775
3 201975
4 202161
5 201757
6 201854
7 201854
8 201951
9 201748
10 201747
11 202046
12 201844
13 201841
14 202039
15 201837
16 201835
17 201834
18 201731
19 201829
20 201928

About Iman Fatemi

Iman Fatemi is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Physiology, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 99 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (12 papers), Antioxidants, Aging, Portulaca oleracea (9 papers), Circadian rhythm and melatonin (8 papers), Biochemical effects in animals (6 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Nuts composition and effects (5 papers), Sesame and Sesamin Research (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Biological Psychiatry (58 citations), Endocrine and Autonomic Systems (132 citations), Pharmacology (173 citations), Pathology and Forensic Medicine (249 citations) and Complementary and alternative medicine (110 citations). Iman Fatemi has collaborated with scholars based in Iran, Spain and Russia. Frequent co-authors include Saeed Mehrzadi, Mehdi Goudarzi, Ayat Kaeidi, Ali Shamsizadeh, Habib Ghaznavi, Elham Hakimizadeh, Heibatullah Kalantari‬, Alireza Malayeri, Mohammad Allahtavakoli and Esrafil Mansouri. Their work appears in journals such as Life Sciences, Naunyn-Schmiedeberg s Archives of Pharmacology, Pharmacological Reports, Research in Pharmaceutical Sciences and Tissue and Cell.

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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