Maryam Abiri

37 total papers · 470 total citations
28 papers, 312 citations indexed

About

Maryam Abiri is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Maryam Abiri has authored 28 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Clinical Biochemistry. Recurrent topics in Maryam Abiri's work include Metabolism and Genetic Disorders (7 papers), Biochemical and Molecular Research (4 papers) and Skin and Cellular Biology Research (4 papers). Maryam Abiri is often cited by papers focused on Metabolism and Genetic Disorders (7 papers), Biochemical and Molecular Research (4 papers) and Skin and Cellular Biology Research (4 papers). Maryam Abiri collaborates with scholars based in Iran, United States and Italy. Maryam Abiri's co-authors include Sirous Zeinali, Hassan Vahidnezhad, Leila Youssefian, Jouni Uitto, Amir Hossein Saeidian, Paolo Fortina, Sirous Zeinali, Soheila Sotoudeh, Razieh Karamzadeh and Andrew Touati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Maryam Abiri

26 papers receiving 308 citations

Author Peers

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

Author Last Decade Papers Cites
Maryam Abiri 198 120 70 62 54 28 312
Sandra Klingberg 124 0.6× 84 0.7× 11 0.2× 32 0.5× 58 1.1× 21 245
Ola Khalifa 146 0.7× 24 0.2× 31 0.4× 80 1.3× 14 0.3× 18 255
Yu Ding 218 1.1× 21 0.2× 38 0.5× 168 2.7× 13 0.2× 37 355
A. M. Bardelli 116 0.6× 75 0.6× 39 0.6× 72 1.2× 19 0.4× 23 264
Kalpana Gowrishankar 170 0.9× 25 0.2× 8 0.1× 94 1.5× 17 0.3× 23 301
Laila K. Effat 138 0.7× 30 0.3× 47 0.7× 61 1.0× 5 0.1× 29 248
Patricia L. Monteleone 147 0.7× 24 0.2× 24 0.3× 96 1.5× 25 0.5× 31 346
Leike Xie 251 1.3× 125 1.0× 14 0.2× 16 0.3× 12 0.2× 22 337
Peter M. Barling 180 0.9× 31 0.3× 8 0.1× 64 1.0× 10 0.2× 39 363
Cybel Mehawej 146 0.7× 31 0.3× 27 0.4× 107 1.7× 15 0.3× 45 280

Countries citing papers authored by Maryam Abiri

Since Specialization
Citations

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

Fields of papers citing papers by Maryam Abiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryam Abiri

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