Behrokh Farahmand

477 citations
48 papers · 360 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

    • Influenza Virus Research Studies 25
    • Respiratory viral infections research 6
    • vaccines and immunoinformatics approaches 11
    • RNA and protein synthesis mechanisms 4

Behrokh Farahmand

42 papers receiving 354 citations

Peers

Behrokh Farahmand
Comparison fields: 5 of 66
  • Infectious Diseases 118
  • Epidemiology 118
  • Immunology 67
  • Complementary and alternative medicine 24
  • Modeling and Simulation 13
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Citations per field
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Citations per year

Countries citing papers authored by Behrokh Farahmand

Since Specialization
Citations

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

Fields of papers citing papers by Behrokh Farahmand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 201729
3 202127
4 202124
5 202120
6 201818
7 201815
8 202113
9 201812
10 201211
11 201711
12 201111
13 20189
14 20209
15 20168
16 20238
17 20217
18 20216
19 20216
20 20115

About Behrokh Farahmand

Behrokh Farahmand is a scholar working on Epidemiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Immunology, having authored 48 papers that have together received 360 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (25 papers), vaccines and immunoinformatics approaches (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Respiratory viral infections research (6 papers), RNA and protein synthesis mechanisms (4 papers), Immunotherapy and Immune Responses (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (118 citations), Epidemiology (118 citations), Immunology (67 citations), Complementary and alternative medicine (24 citations) and Modeling and Simulation (13 citations). Behrokh Farahmand has collaborated with scholars based in Iran, Italy and Switzerland. Frequent co-authors include Fatemeh Fotouhi, Parvaneh Mehrbod, Amir Ghaemi, ‪Mostafa Salehi-Vaziri, Tahmineh Jalali, Mohammad Hassan Pouriayevali, Amitis Ramezani, Mona Sadat Larijani, Mohammad Banifazl and Lyndy J. McGaw. Their work appears in journals such as Virus Research, Journal of Biomolecular Structure and Dynamics, Virology Journal, Biotechnology Letters and Microbes and Infection.

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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