Shahram Eisa-Beygi

41 total papers · 496 total citations
23 papers, 370 citations indexed

About

Shahram Eisa-Beygi is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Shahram Eisa-Beygi has authored 23 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Neurology. Recurrent topics in Shahram Eisa-Beygi's work include Congenital heart defects research (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Pluripotent Stem Cells Research (3 papers). Shahram Eisa-Beygi is often cited by papers focused on Congenital heart defects research (4 papers), Zebrafish Biomedical Research Applications (3 papers) and Pluripotent Stem Cells Research (3 papers). Shahram Eisa-Beygi collaborates with scholars based in United States, Canada and Iran. Shahram Eisa-Beygi's co-authors include Thomas W. Moon, Andrey Massarsky, Xiao‐Yan Wen, Vance L. Trudeau, Jessica J. Taylor, Marc Ekker, Gary Hatch, Sandra Noble, Ramani Ramchandran and Shubhangi Prabhudesai and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Stroke.

In The Last Decade

Shahram Eisa-Beygi

22 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
Shahram Eisa-Beygi 115 112 63 59 46 23 370
Di Gregorio 146 1.3× 13 0.1× 73 1.2× 54 0.9× 21 0.5× 19 439
Fenghui Zhao 221 1.9× 107 1.0× 41 0.7× 30 0.5× 8 0.2× 18 431
Cecylia Tukaj 59 0.5× 81 0.7× 34 0.5× 15 0.3× 7 0.2× 25 375
Daoxi Lei 90 0.8× 30 0.3× 73 1.2× 65 1.1× 8 0.2× 24 350
Byung-Kwon Jung 88 0.8× 62 0.6× 13 0.2× 17 0.3× 21 0.5× 15 335
Hang Zhao 169 1.5× 41 0.4× 30 0.5× 78 1.3× 9 0.2× 18 433
May Alrashed 134 1.2× 9 0.1× 58 0.9× 22 0.4× 33 0.7× 32 374
Laura Liesinger 130 1.1× 18 0.2× 23 0.4× 13 0.2× 16 0.3× 21 395
Huaping Zheng 212 1.8× 24 0.2× 20 0.3× 10 0.2× 81 1.8× 24 410
Xuan Wu 118 1.0× 10 0.1× 25 0.4× 23 0.4× 22 0.5× 26 388

Countries citing papers authored by Shahram Eisa-Beygi

Since Specialization
Citations

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

Fields of papers citing papers by Shahram Eisa-Beygi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shahram Eisa-Beygi. 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 Shahram Eisa-Beygi. The network helps show where Shahram Eisa-Beygi may publish in the future.

Co-authorship network of co-authors of Shahram Eisa-Beygi

This figure shows the co-authorship network connecting the top 25 collaborators of Shahram Eisa-Beygi. A scholar is included among the top collaborators of Shahram Eisa-Beygi 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 Shahram Eisa-Beygi. Shahram Eisa-Beygi 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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