Behzad Hemati

525 total citations
10 papers, 372 citations indexed

About

Behzad Hemati is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Behzad Hemati has authored 10 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Agronomy and Crop Science. Recurrent topics in Behzad Hemati's work include Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers) and Viral Infections and Vectors (2 papers). Behzad Hemati is often cited by papers focused on Animal Disease Management and Epidemiology (3 papers), Vector-Borne Animal Diseases (3 papers) and Viral Infections and Vectors (2 papers). Behzad Hemati collaborates with scholars based in Iran, United Kingdom and France. Behzad Hemati's co-authors include Isabelle Schwartz-Cornil, Vanessa Contreras, Emmanuel Bréard, Peter Mertens, Stéphan Zientara, Florentina Pascale, Ν. James MacLachlan, Philip S. Mellor, Céline Urien and Haru‐Hisa Takamatsu and has published in prestigious journals such as Journal of Virology, Frontiers in Immunology and Veterinary Research.

In The Last Decade

Behzad Hemati

10 papers receiving 359 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Behzad Hemati Iran 6 283 268 258 46 34 10 372
Kyle Bonneau United States 9 470 1.7× 400 1.5× 440 1.7× 92 2.0× 20 0.6× 12 520
Alessia Armezzani United Kingdom 5 217 0.8× 188 0.7× 186 0.7× 134 2.9× 13 0.4× 6 351
Gleyder Román‐Sosa Germany 13 146 0.5× 235 0.9× 184 0.7× 26 0.6× 37 1.1× 23 393
Marialexia Alfano United States 8 319 1.1× 130 0.5× 370 1.4× 12 0.3× 38 1.1× 8 444
Christopher D. DeMaula United States 12 400 1.4× 368 1.4× 377 1.5× 65 1.4× 29 0.9× 14 557
Huisheng Liu China 11 151 0.5× 143 0.5× 231 0.9× 16 0.3× 112 3.3× 17 380
I. Fernández Sainz United States 7 173 0.6× 108 0.4× 370 1.4× 14 0.3× 22 0.6× 8 435
Noelia Moreno Spain 11 180 0.6× 116 0.4× 232 0.9× 19 0.4× 28 0.8× 12 340
Rute Maria Pinto United Kingdom 8 114 0.4× 199 0.7× 102 0.4× 25 0.5× 64 1.9× 12 298
Jiaoer Zhang China 5 220 0.8× 178 0.7× 291 1.1× 8 0.2× 57 1.7× 9 402

Countries citing papers authored by Behzad Hemati

Since Specialization
Citations

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

Fields of papers citing papers by Behzad Hemati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behzad Hemati

This figure shows the co-authorship network connecting the top 25 collaborators of Behzad Hemati. A scholar is included among the top collaborators of Behzad Hemati based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Behzad Hemati. Behzad Hemati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
3.
Bahrami, Abolfazl, et al.. (2021). Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic. Frontiers in Immunology. 12. 789317–789317. 39 indexed citations
4.
Khabiri, Alireza, et al.. (2018). Development of IgY-Based Sandwich ELISA as a Robust Tool for Rapid Detection and Discrimination of ToxigenicVibrio cholerae. Canadian Journal of Infectious Diseases and Medical Microbiology. 2018. 1–9. 9 indexed citations
5.
Hemati, Behzad, et al.. (2017). Genetic Diversity within Bactrian Camel Population of Ardebil Province. Research on Animal Production. 8(16). 192–197. 6 indexed citations
6.
Hemati, Behzad, et al.. (2016). Association between Insulin–Like Growth Factor I Polymorphism and Early Growth Traits in Iranian Zandi Sheep, Found Polymerase Chain Reaction Restriction Fragment Length Polymorphism (PCR-RFLP). Iranian journal of applied animal science. 6(3). 665–669. 6 indexed citations
7.
Hemati, Behzad, et al.. (2015). Investigation of Bovine Leukocyte Adhesion Deficiency (BLAD) and Complex Vertebral Malformation (CVM) in a Population of Iranian Holstein Cows. Iranian journal of applied animal science. 5(1). 69–72. 4 indexed citations
8.
Hemati, Behzad, et al.. (2014). THE STUDY OF COMPLEX VERTEBRAL MALFORMATION GENETIC DEFECT IN A POPULATION OF SISTANI COWS. International Journal of Plant Animal and Environmental Sciences. 2014(3). 1 indexed citations
9.
Hemati, Behzad, Vanessa Contreras, Céline Urien, et al.. (2009). Bluetongue Virus Targets Conventional Dendritic Cells in Skin Lymph. Journal of Virology. 83(17). 8789–8799. 68 indexed citations
10.
Schwartz-Cornil, Isabelle, Peter Mertens, Vanessa Contreras, et al.. (2008). Bluetongue virus: virology, pathogenesis and immunity. Veterinary Research. 39(5). 46–46. 237 indexed citations

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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