Arash Javanmard

1000 total citations
72 papers, 689 citations indexed

About

Arash Javanmard is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Arash Javanmard has authored 72 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 18 papers in Animal Science and Zoology and 14 papers in Molecular Biology. Recurrent topics in Arash Javanmard's work include Genetic and phenotypic traits in livestock (20 papers), Genetic diversity and population structure (12 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Arash Javanmard is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Genetic diversity and population structure (12 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Arash Javanmard collaborates with scholars based in Iran, Malaysia and China. Arash Javanmard's co-authors include Nader Asadzadeh, Ali Esmailizadeh, Mohammad Reza Nassiry, Mohammad Saeid Hejazi, Omid Sofalian, Nader Chaparzadeh, Shuhaimi Mustafa, Mohammad Azhar Kamal, O. Muhammad Anas and Mohd Yazid Abdul Manap and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and International Journal of Biological Macromolecules.

In The Last Decade

Arash Javanmard

67 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arash Javanmard Iran 13 315 180 163 117 105 72 689
Andrzej Dybus Poland 17 450 1.4× 270 1.5× 184 1.1× 68 0.6× 207 2.0× 72 909
Mariasilvia D’Andrea Italy 16 600 1.9× 183 1.0× 202 1.2× 76 0.6× 230 2.2× 66 984
Runshen Jiang China 16 237 0.8× 545 3.0× 192 1.2× 92 0.8× 54 0.5× 59 883
Ayman H. Abd El‐Aziz Egypt 15 119 0.4× 199 1.1× 123 0.8× 109 0.9× 67 0.6× 72 569
B. Prakash India 16 425 1.3× 251 1.4× 174 1.1× 117 1.0× 259 2.5× 106 829
Donghyun Shin South Korea 16 315 1.0× 165 0.9× 349 2.1× 86 0.7× 50 0.5× 79 844
L. Sawadogo Burkina Faso 15 229 0.7× 75 0.4× 83 0.5× 155 1.3× 121 1.2× 57 729
Congliang Ji China 11 199 0.6× 360 2.0× 257 1.6× 43 0.4× 50 0.5× 21 623
Yaokun Li China 17 259 0.8× 157 0.9× 334 2.0× 86 0.7× 200 1.9× 72 837

Countries citing papers authored by Arash Javanmard

Since Specialization
Citations

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

Fields of papers citing papers by Arash Javanmard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arash Javanmard

This figure shows the co-authorship network connecting the top 25 collaborators of Arash Javanmard. A scholar is included among the top collaborators of Arash Javanmard 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 Arash Javanmard. Arash Javanmard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Rafat, Seyed Abbas, et al.. (2024). Identification of candidate genes associated with milk production and mastitis based on transcriptome‐wide association study. Animal Genetics. 55(3). 430–439. 3 indexed citations
3.
Mahmoudi, Asghar, et al.. (2022). Detection of chicken and fat adulteration in minced lamb meat by VIS/NIR spectroscopy and chemometrics methods. International Journal of Food Engineering. 18(7). 525–535. 4 indexed citations
4.
Alijani, S., et al.. (2021). Genetic Diversity Analysis of Four Sheep Breeds of Iran: Towards Genetic Maintenance and Conservation Decision. Iranian journal of applied animal science. 11(3). 527–538. 2 indexed citations
6.
Javanmard, Arash, et al.. (2021). Assessment of Genetic Diversity Within Holstein Population using Bovine SNP Chip Data. Research on Animal Production. 12(32). 140–149. 2 indexed citations
7.
Javanmard, Arash, et al.. (2020). Identification of Novel Mutations in IL-2 Gene in Khorasan Native Fowls. SHILAP Revista de lepidopterología. 2 indexed citations
8.
Javadmanesh, Ali, et al.. (2020). Expression Profile of Five Stress-Related Genes of Khorasan Native Chickens under Acute Heat Stress. Iranian journal of applied animal science. 10(3). 525–533. 1 indexed citations
10.
Javanmard, Arash, et al.. (2018). Novel Single Nucleotide Polymorphisms (SNPs) in Two Oogenesis Specific Genes (BMP15, GDF9) and Their Association with Litter Size in Markhoz Goat (Iranian Angora). Iranian journal of applied animal science. 8(1). 91–99. 4 indexed citations
11.
Hejazi, Mohammad Amin, et al.. (2016). Conservation and biodiversity analysis of the microalga Dunaliella in shrinking highly saline Urmia Lake based on intron-sizing method.. Journal of Agricultural Science and Technology. 18(6). 1693–1703. 4 indexed citations
12.
Valdiani, Alireza, Daryush Talei, Arash Javanmard, et al.. (2014). Morpho-molecular analysis as a prognostic model for repulsive feedback of the medicinal plant “Andrographis paniculata” to allogamy. Gene. 542(2). 156–167. 9 indexed citations
13.
Pourkazemi, M., et al.. (2012). Population genetic structure of Mahi Sefid (Rutilus frisii kutum) in the of South Caspian Sea: Implications for fishery management. SHILAP Revista de lepidopterología. 7 indexed citations
14.
Pourkazemi, M., et al.. (2012). Genetic diversity of Mahisefid (Rutilus frisii kutum Kamensky 1901) in different rivers of the south Caspian Sea using PCR-RFLP. Iranian journal of fisheries science. 11(2). 235–251. 3 indexed citations
15.
Tan, Soon Guan, et al.. (2012). Inheritance of Microsatellite Loci and Their Application for Pedigree Analysis of the Polyploid Persian Sturgeon Acipenser Persicus (Acipenseridae). Zoological studies. 51(8). 1507–1514. 3 indexed citations
16.
Javanmard, Arash, et al.. (2011). Association between GH encoding gene polymorphism and semen characteristics in Iranian Holstein bulls. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(6). 882–886. 9 indexed citations
17.
Mohammadi, Ghodratollah, et al.. (2010). Genetic variation of ten microsatellite loci in Makui sheep of Iran. Veterinary Research Communications. 34(6). 541–548. 4 indexed citations
18.
Chaparzadeh, Nader, et al.. (2008). Study of glutenin subunits in some wheat landraces from northwest of Iran by SDS-PAGE technique.. International Journal of Agriculture and Biology. 10(1). 101–104. 10 indexed citations
19.
Sofalian, Omid, Nader Chaparzadeh, Arash Javanmard, & Mohammad Saeid Hejazi. (2008). Study the genetic diversity of wheat landraces from northwest of Iran based on ISSR molecular markers. International Journal of Agriculture and Biology. 10(4). 466–468. 42 indexed citations
20.
Javanmard, Arash, et al.. (2005). The allele and genotype frequencies of bovine pituitary- specific transcription factor and leptin genes in Iranian cattle and buffalo populations using PCR-RFLP. Iranian Journal of Biotechnology. 3(2). 104–108. 29 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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