Iraj Pakzad

794 citations
39 papers · 565 indexed · h-index 12

Iraj Pakzad

37 papers receiving 557 citations

Peers

Iraj Pakzad
Comparison fields: 5 of 104
  • Molecular Medicine 76
  • Applied Microbiology and Biotechnology 28
  • Modeling and Simulation 49
  • Endocrinology 36
  • Infectious Diseases 91
Replace Hai Thanh Le with:
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Norifumi Shigemoto Japan
Karrie Kwan Ki Ko Singapore
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Citations per year

Countries citing papers authored by Iraj Pakzad

Since Specialization
Citations

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

Fields of papers citing papers by Iraj Pakzad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 202313
3 20231
4 202210
5 202211
6 20216
7 202122
8 20216
9 202119
10 2020120
11 202025
12 20205
13 201918
14
Investigating the distribution of fungal species concentration associated with dust storms in Ilam, Iran: A case study
20174
15 201562
16 201519
17
Comparison of in vitro inhibitory effects of different extracts of Scrophularia striata plant on Staphylococcus aureus, Pseudomonas aeruginosa and Helicobacter pylori
20141
18
The in Vitro Inhibitory Effects of the Aqueous Extracts of Summer Onion on Candida Albicans
20136
19
Comparative and Kinetic Studies on Microbial Decolorization of Azo Dyes By Pseudomonas Aeruginosa and Pseudomonas Putida
20130
20 201145

About Iraj Pakzad

Iraj Pakzad is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 39 papers that have together received 565 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Vibrio bacteria research studies (4 papers), Bacterial biofilms and quorum sensing (4 papers), vaccines and immunoinformatics approaches (3 papers), Streptococcal Infections and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Bacteriophages and microbial interactions (3 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Molecular Medicine (76 citations), Applied Microbiology and Biotechnology (28 citations) and Modeling and Simulation (49 citations). Iraj Pakzad has collaborated with scholars based in Iran, Malaysia and Germany. Frequent co-authors include Shahab Falahi, Azra Kenarkoohi, Zahra Noorimotlagh, Seyyed Abbas Mirzaee, Gholam Basati, Àmirnader Emami Razavi, Kourosh Sayehmiri, Fatemeh Sayehmiri, Sobhan Ghafourian and Nourkhoda Sadeghifard. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Briefings in Bioinformatics.

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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