Behrouz Nikbin

79 papers receiving 2.8k citations

Peers

Behrouz Nikbin
Comparison fields: 5 of 82
  • Genetics 664
  • Transplantation 117
  • Pathology and Forensic Medicine 297
  • Genetics 392
  • Rheumatology 138
Replace Federica Casiraghi with:
Federica Casiraghi Italy
Roberto Mallone France
Ghasem Solgi Iran
Béatrice Mougenot France
Nollaig A. Parfrey Ireland
Prashant Sharma India
Alessia Mercalli Italy
Li L United States
Yingyu Zhang China
Craig J. Taylor United Kingdom
Behrouz Nikbin relative to Federica Casiraghi Italy Federica Casiraghi's profile →
Citations per field
00.5×5×10×13.5×
Federica Casiraghi · 1×
Citations per year

Countries citing papers authored by Behrouz Nikbin

Since Specialization
Citations

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

Fields of papers citing papers by Behrouz Nikbin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006737
2 2001389
3 2007195
4 2012160
5
Cytokine single nucleotide polymorphisms in Iranian patients with pulmonary tuberculosis.
2006103
6 200577
7
Autologous in vitro expanded mesenchymal stem cell therapy for human old myocardial infarction.
200770
8 200864
9 200862
10
Stem cell therapy in treatment of different diseases.
201261
11
The association of HLA-DRB, DQA1, DQB1 alleles and haplotype frequency in Iranian patients with pulmonary tuberculosis.
200460
12 200858
13 201457
14 200145
15 200241
16 200539
17 200931
18 200730
19
Association of HLA class II alleles with childhood asthma and Total IgE levels.
200830
20 200428

About Behrouz Nikbin

Behrouz Nikbin is a scholar working on Transplantation, Pathology and Forensic Medicine, Genetics, Rheumatology and Genetics, having authored 83 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (17 papers), Multiple Sclerosis Research Studies (9 papers), Forensic and Genetic Research (7 papers), Genetic Associations and Epidemiology (5 papers), Mesenchymal stem cell research (5 papers), Tuberculosis Research and Epidemiology (4 papers), Spondyloarthritis Studies and Treatments (4 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Genetics (664 citations), Transplantation (117 citations), Pathology and Forensic Medicine (297 citations), Genetics (392 citations) and Rheumatology (138 citations). Behrouz Nikbin has collaborated with scholars based in Iran, United States and Spain. Frequent co-authors include Mandana Mohyeddin Bonab, Ardeshir Ghavamzadeh, Fatemeh Talebian, Kamran Alimoghaddam, Seyed Hamidollah Ghaffari, Ali Akbar Amirzargar, Farideh Khosravi, Nima Rezaei, Jamshid Lotfi and Mohammad Hossein Nicknam. Their work appears in journals such as Journal of Clinical Immunology, Human Immunology, International review of neurobiology, Journal of Oral Pathology and Medicine and BMC Cell Biology.

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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