M Mayahi

88 total papers · 442 total citations
54 papers, 338 citations indexed

About

M Mayahi is a scholar working on Animal Science and Zoology, Epidemiology and Infectious Diseases. According to data from OpenAlex, M Mayahi has authored 54 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Animal Science and Zoology, 20 papers in Epidemiology and 16 papers in Infectious Diseases. Recurrent topics in M Mayahi's work include Animal Virus Infections Studies (15 papers), Microbial infections and disease research (9 papers) and Animal Nutrition and Physiology (8 papers). M Mayahi is often cited by papers focused on Animal Virus Infections Studies (15 papers), Microbial infections and disease research (9 papers) and Animal Nutrition and Physiology (8 papers). M Mayahi collaborates with scholars based in Iran, Malaysia and Yemen. M Mayahi's co-authors include Masoud Reza Seyfi Abad Shapouri, Mohammad Khosravi, Hossein Hassanpour, Darioush Gharibi, Shahriari Ali Reza, Nader Mosavari, Jamal Fayazi, Masoud Ghorbanpoor, A. Rezakhani and Hassan Momtaz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Livestock Science and Molecular Biology Reports.

In The Last Decade

M Mayahi

51 papers receiving 311 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M Mayahi 219 118 83 68 42 54 338
Olga Zorman Rojs 140 0.6× 132 1.1× 122 1.5× 44 0.6× 18 0.4× 41 300
Zhuanqiang Yan 175 0.8× 125 1.1× 138 1.7× 48 0.7× 19 0.5× 50 385
Ashraf Awad 144 0.7× 56 0.5× 105 1.3× 51 0.8× 19 0.5× 28 338
L.M. Timms 205 0.9× 142 1.2× 103 1.2× 37 0.5× 52 1.2× 29 403
Angélica Terezinha Barth Wouters 75 0.3× 59 0.5× 56 0.7× 62 0.9× 51 1.2× 49 346
Uroš Krapež 151 0.7× 136 1.2× 133 1.6× 36 0.5× 16 0.4× 39 321
Harmanjit Singh Banga 73 0.3× 87 0.7× 69 0.8× 78 1.1× 51 1.2× 65 400
M. A. Z. Morés 145 0.7× 99 0.8× 55 0.7× 40 0.6× 26 0.6× 39 352
Akira Taneno 119 0.5× 138 1.2× 107 1.3× 31 0.5× 14 0.3× 42 379
M. Kumar 118 0.5× 82 0.7× 98 1.2× 38 0.6× 11 0.3× 28 344

Countries citing papers authored by M Mayahi

Since Specialization
Citations

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

Fields of papers citing papers by M Mayahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Mayahi

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

All Works

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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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