Hamid Vaez

47 papers receiving 629 citations

Peers

Hamid Vaez
Comparison fields: 5 of 86
  • Molecular Medicine 294
  • Applied Microbiology and Biotechnology 97
  • Endocrinology 89
  • Clinical Biochemistry 99
  • Microbiology 54
Replace Mohammad Taghi Akhi with:
Mohammad Taghi Akhi Iran
Mojtaba Moosavian Iran
Abazar Pournajaf Iran
Mohammad Sholeh Iran
Marija Tonkić Croatia
Parisa Asadollahi Iran
Jamshid Faghri Iran
Mostafa Elouennass Morocco
Tomoo Saga Japan
Zoi Dorothea Pana Cyprus
Hamid Vaez relative to Mohammad Taghi Akhi Iran Mohammad Taghi Akhi's profile →
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Citations per year

Countries citing papers authored by Hamid Vaez

Since Specialization
Citations

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

Fields of papers citing papers by Hamid Vaez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201056
2 201851
3 201250
4 201831
5 201725
6 202124
7 201823
8 201521
9 201720
10 201420
11 201819
12 201419
13 201117
14 201717
15 202017
16 202116
17 202215
18 202115
19 201414
20
Antibiotic resistance profiles of Salmonella serotypes isolated from animals in Iran: a meta-analysis.
202014

About Hamid Vaez

Hamid Vaez is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Endocrinology and Infectious Diseases, having authored 50 papers that have together received 655 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (26 papers), Bacterial biofilms and quorum sensing (15 papers), Antibiotic Use and Resistance (14 papers), Bacterial Identification and Susceptibility Testing (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Urinary Tract Infections Management (5 papers) and Tuberculosis Research and Epidemiology (4 papers). The work is most often cited by research in Molecular Medicine (294 citations), Applied Microbiology and Biotechnology (97 citations), Endocrinology (89 citations), Clinical Biochemistry (99 citations) and Microbiology (54 citations). Hamid Vaez has collaborated with scholars based in Iran, Australia and Poland. Frequent co-authors include Farzad Khademi, Amirhossein Sahebkar, Mohsen Arzanlou, Amin Salehi‐Abargouei, Ezzat Allah Ghaemi, Amir Abbas Momtazi‐Borojeni, Hajieh Ghasemian Safaei, Saman Soleimanpour, Ramezan Ali Taheri and Masoud Golalipour. Their work appears in journals such as Critical Care Research and Practice, Microbial Pathogenesis, Microbial Drug Resistance, Archives of Medical Science and Burns & Trauma.

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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