Iraj Rasooli

5.7k citations
166 papers · 4.9k · h-index 36

Impact in

Papers in

Iraj Rasooli

160 papers receiving 4.6k citations

Peers

Iraj Rasooli
Comparison fields: 5 of 136
  • Molecular Medicine 697
  • Endocrinology 593
  • Food Science 2.1k
  • Biochemistry 490
  • Plant Science 1.8k
Replace María José Saavedra with:
María José Saavedra Portugal
Supayang Piyawan Voravuthikunchai Thailand
Anabela Borges Portugal
Mahjoub Aouni Tunisia
Yaya Rukayadi Malaysia
Sonja Smole Možina Slovenia
Moussa S. Diarra Canada
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Citations per field
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Citations per year

Countries citing papers authored by Iraj Rasooli

Since Specialization
Citations

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

Fields of papers citing papers by Iraj Rasooli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006394
2 2006289
3 2005214
4 2003208
5 2007181
6 2010176
7 2006151
8 2003140
9 2005134
10 2002132
11 2011117
12
Food Preservation - A Biopreservative Approach
200796
13 201082
14 201174
15 201166
16 200959
17 200857
18 201754
19 200953
20 201050

About Iraj Rasooli

Iraj Rasooli is a scholar working on Molecular Biology, Molecular Medicine, Food Science, Endocrinology and Plant Science, having authored 166 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (45 papers), Essential Oils and Antimicrobial Activity (36 papers), Escherichia coli research studies (27 papers), Vibrio bacteria research studies (21 papers), vaccines and immunoinformatics approaches (20 papers), Phytochemistry and Biological Activities (18 papers), Bacteriophages and microbial interactions (16 papers) and Bacterial biofilms and quorum sensing (9 papers). The work is most often cited by research in Molecular Medicine (697 citations), Endocrinology (593 citations), Food Science (2.1k citations), Biochemistry (490 citations) and Plant Science (1.8k citations). Iraj Rasooli has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Parviz Owlia, Shakiba Darvish Alipour Astaneh, Seyed Latif Mousavi Gargari, Mohammad Rezaei, Abdolamir Allameh, Abolfazl Jahangiri, Latif Gachkar, Massoud Taghizadeh, Mehdi Razzaghi‐Abyaneh and D Yadegari. Their work appears in journals such as Microbial Pathogenesis, Scientific Reports, Journal of Theoretical Biology, International Journal of Infectious Diseases and International Immunopharmacology.

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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