Emad Behboudi

5.9k citations
42 papers · 208 · h-index 10

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • CAR-T cell therapy research
    • Viral-associated cancers and disorders

Papers in

    • SARS-CoV-2 and COVID-19 Research 7
    • COVID-19 Clinical Research Studies 6
    • Viral Infections and Vectors 3
    • Hepatitis B Virus Studies 3

Emad Behboudi

31 papers receiving 200 citations

Peers

Emad Behboudi
Comparison fields: 5 of 61
  • Infectious Diseases 61
  • Oncology 40
  • Genetics 41
  • Obstetrics and Gynecology 10
  • Immunology 28
Replace Réka Lőrincz with:
Réka Lőrincz United States
Meghana V. Kashyap United States
Guojun Wang China
Mai Abdel Haleem Abusalah Malaysia
Mindy Nguyen United States
Dmitry Isakov Russia
Tanya O. Robinson United States
Eric Muller United States
Donald Bastin Canada
Alexandre A. Boudreault Canada
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Citations per field
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Citations per year

Countries citing papers authored by Emad Behboudi

Since Specialization
Citations

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

Fields of papers citing papers by Emad Behboudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202231
2 202222
3 202218
4 202415
5 202112
6 202411
7 202111
8 201811
9 202010
10 202210
11 20227
12 20247
13 20225
14 20214
15 20234
16 20214
17 20243
18 20213
19 20243
20 20233

About Emad Behboudi

Emad Behboudi is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Genetics and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 208 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Virus-based gene therapy research (5 papers), Hepatitis B Virus Studies (3 papers), Viral Infections and Vectors (3 papers), Long-Term Effects of COVID-19 (3 papers), interferon and immune responses (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Infectious Diseases (61 citations), Oncology (40 citations), Genetics (41 citations), Obstetrics and Gynecology (10 citations) and Immunology (28 citations). Emad Behboudi has collaborated with scholars based in Iran, United States and Türkiye. Frequent co-authors include Hassan Dianat‐Moghadam, Amir Ghaemi, Mohsen Nakhaie, Mohsen Keshavarz, Seyed Mohammad Miri, Javad Charostad, Mohammad Javad Mousavi, Milad Zandi, Shokrollah Salmanzadeh and Jila Yavarian. Their work appears in journals such as European Journal of Inflammation, Biotechnology and Applied Biochemistry, Library Hi Tech, Health Care For Women International and Advances in Virology.

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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