Navid Jamali

22 papers receiving 343 citations

Peers

Navid Jamali
Comparison fields: 5 of 77
  • Reproductive Medicine 93
  • Obstetrics and Gynecology 34
  • Biochemistry 21
  • Complementary and alternative medicine 26
  • Endocrinology, Diabetes and Metabolism 42
Replace Katarzyna M. Terlikowska with:
Katarzyna M. Terlikowska Poland
Yi-Fen Chiang Taiwan
Tae‐Kyun Lee South Korea
Mingzhu Ye China
Marie Alfrede Mvondo Cameroon
Caijuan Zhang China
Chayada Tangshewinsirikul Thailand
Yang Fu China
Andrea Fratter Italy
Navid Jamali relative to Katarzyna M. Terlikowska Poland Katarzyna M. Terlikowska's profile →
Citations per field
00.5×4.5×
Katarzyna M. Terlikowska · 1×
Citations per year

Countries citing papers authored by Navid Jamali

Since Specialization
Citations

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

Fields of papers citing papers by Navid Jamali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Navid Jamali, 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 Navid Jamali Line = papers co-authored together Navid Jamali links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202348
2 202038
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8 202319
9 201916
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12 202213
13 202111
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15 20227
16 20217
17 20247
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19 20205
20 20225

About Navid Jamali

Navid Jamali is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Oncology and Obstetrics and Gynecology, having authored 25 papers that have together received 345 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (5 papers), Reproductive System and Pregnancy (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Computational Drug Discovery Methods (2 papers), Estrogen and related hormone effects (2 papers), Pharmacological Effects of Natural Compounds (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Reproductive Medicine (93 citations), Obstetrics and Gynecology (34 citations), Biochemistry (21 citations), Complementary and alternative medicine (26 citations) and Endocrinology, Diabetes and Metabolism (42 citations). Navid Jamali has collaborated with scholars based in Iran, United Kingdom and United States. Frequent co-authors include Mohammad Samare‐Najaf, Fatemeh Zal, Zohreh Mostafavi‐Pour, Tahereh Poordast, Cain C. T. Clark, Mohammad Jalali, Mortaza Taheri‐Anganeh, Seyyed Hossein Khatami, Amirreza Dehghanian and Asma Kazemi. Their work appears in journals such as Clinica Chimica Acta, European Cytokine Network, Current Medicinal Chemistry, Journal of Biomolecular Structure and Dynamics and Mini-Reviews in Medicinal Chemistry.

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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