Paria Akbary

64 total papers · 950 total citations
47 papers, 758 citations indexed

About

Paria Akbary is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, Paria Akbary has authored 47 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Aquatic Science, 27 papers in Immunology and 7 papers in Physiology. Recurrent topics in Paria Akbary's work include Aquaculture Nutrition and Growth (36 papers), Aquaculture disease management and microbiota (27 papers) and Aquatic life and conservation (9 papers). Paria Akbary is often cited by papers focused on Aquaculture Nutrition and Growth (36 papers), Aquaculture disease management and microbiota (27 papers) and Aquatic life and conservation (9 papers). Paria Akbary collaborates with scholars based in Iran, Oman and Nigeria. Paria Akbary's co-authors include Zahra Aminikhoei, Abdolreza Jahanbakhshi, Mohammad Ghiasi, Noradin Ghadimi, Hamidreza Alipour, Mohammad Reza Imanpoor, Seyyed Alireza Esmaeilzadeh‐Hosseini, Mostafa Akhlaghi, Siyavash Soltanian and Kamran Rezaei Tavabe and has published in prestigious journals such as SHILAP Revista de lepidopterología, Aquaculture and Environmental Science and Pollution Research.

In The Last Decade

Paria Akbary

46 papers receiving 732 citations

Hit Papers

Extracting Appropriate No... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Paria Akbary 354 246 190 65 62 47 758
Ashkan Banan 121 0.3× 83 0.3× 21 0.1× 12 0.2× 45 0.7× 19 749
Seon‐Jae Kim 115 0.3× 83 0.3× 35 0.2× 19 0.3× 14 0.2× 80 866
Xiaoyu Zhao 133 0.4× 118 0.5× 17 0.1× 8 0.1× 16 0.3× 58 791
Ying Zhang 99 0.3× 24 0.1× 36 0.2× 18 0.3× 15 0.2× 44 773
Weifang Wang 103 0.3× 60 0.2× 44 0.2× 6 0.1× 35 0.6× 68 803
Huajun Hu 35 0.1× 63 0.3× 44 0.2× 46 0.7× 5 0.1× 37 831
Gopal Krishna 50 0.1× 29 0.1× 205 1.1× 20 0.3× 16 0.3× 35 627
Kumaravel Kaliaperumal 117 0.3× 56 0.2× 48 0.3× 13 0.2× 5 0.1× 50 648
Ajay S. Desai 193 0.5× 80 0.3× 29 0.2× 2 0.0× 39 0.6× 35 674
Mingjian Liu 120 0.3× 149 0.6× 42 0.2× 1 0.0× 12 0.2× 58 626

Countries citing papers authored by Paria Akbary

Since Specialization
Citations

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

Fields of papers citing papers by Paria Akbary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paria Akbary

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