Mehdi Varidi

116 total papers · 3.5k total citations
84 papers, 2.8k citations indexed

About

Mehdi Varidi is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Mehdi Varidi has authored 84 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Food Science, 12 papers in Molecular Biology and 10 papers in Animal Science and Zoology. Recurrent topics in Mehdi Varidi's work include Proteins in Food Systems (49 papers), Polysaccharides Composition and Applications (22 papers) and Microencapsulation and Drying Processes (17 papers). Mehdi Varidi is often cited by papers focused on Proteins in Food Systems (49 papers), Polysaccharides Composition and Applications (22 papers) and Microencapsulation and Drying Processes (17 papers). Mehdi Varidi collaborates with scholars based in Iran, Canada and France. Mehdi Varidi's co-authors include Majid Nooshkam, Moein Bashash, Mohammad Javad Varidi, Arash Koocheki, Deepak Kumar Verma, Mohebbat Mohebbi, Zahra Allahdad, Farzin Hadizadeh, Samira Feyzi and Ali Akbar Saboury and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Mehdi Varidi

81 papers receiving 2.8k citations

Hit Papers

The Maillard reaction pro... 2018 2026 2020 2023 2018 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Mehdi Varidi 2.0k 613 604 369 360 84 2.8k
Meigui Huang 1.5k 0.8× 653 1.1× 693 1.1× 456 1.2× 369 1.0× 96 3.0k
Lianzhou Jiang 2.4k 1.2× 737 1.2× 583 1.0× 408 1.1× 332 0.9× 83 3.1k
Xianbing Xu 1.4k 0.7× 435 0.7× 640 1.1× 193 0.5× 551 1.5× 128 2.7k
Shabbar Abbas 2.3k 1.2× 486 0.8× 669 1.1× 524 1.4× 217 0.6× 54 3.7k
Yuting Ding 1.7k 0.8× 447 0.7× 746 1.2× 341 0.9× 1.0k 2.9× 65 2.8k
Tanja Ćirković Veličković 1.2k 0.6× 391 0.6× 1.1k 1.9× 295 0.8× 206 0.6× 142 3.9k
Shudong He 1.2k 0.6× 499 0.8× 1.1k 1.9× 579 1.6× 364 1.0× 114 3.0k
Chengsheng Jia 1.4k 0.7× 468 0.8× 1.2k 1.9× 482 1.3× 499 1.4× 82 3.4k
Shuang Zhang 2.5k 1.2× 709 1.2× 702 1.2× 447 1.2× 422 1.2× 127 3.6k
Inteaz Alli 2.0k 1.0× 959 1.6× 953 1.6× 832 2.3× 500 1.4× 127 4.0k

Countries citing papers authored by Mehdi Varidi

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Varidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Varidi

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Varidi. A scholar is included among the top collaborators of Mehdi Varidi 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 Mehdi Varidi. Mehdi Varidi 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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