Aurash Shahripour

26 total papers · 889 total citations
12 papers, 328 citations indexed

About

Aurash Shahripour is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Aurash Shahripour has authored 12 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Organic Chemistry. Recurrent topics in Aurash Shahripour's work include Chemical Synthesis and Analysis (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Computational Drug Discovery Methods (4 papers). Aurash Shahripour is often cited by papers focused on Chemical Synthesis and Analysis (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Computational Drug Discovery Methods (4 papers). Aurash Shahripour collaborates with scholars based in United States and Germany. Aurash Shahripour's co-authors include Tomi K. Sawyer, Mark S. Plummer, Elizabeth A. Lunney, Christine Humblet, Mark S. Plummer, Annette M. Doherty, Jeremy J. Edmunds, William C. Patt, James H. Fergus and Xue‐Min Cheng and has published in prestigious journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Aurash Shahripour

12 papers receiving 284 citations

Author Peers

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

Author Last Decade Papers Cites
Aurash Shahripour 217 105 87 46 40 12 328
M. Amparo Lago 154 0.7× 91 0.9× 137 1.6× 21 0.5× 55 1.4× 10 315
Rebecca L. Frkic 223 1.0× 67 0.6× 33 0.4× 17 0.4× 9 0.2× 22 321
Masami Shiratsuchi 182 0.8× 78 0.7× 34 0.4× 22 0.5× 16 0.4× 20 345
Daniele Volpi 119 0.5× 70 0.7× 36 0.4× 37 0.8× 37 0.9× 13 254
K. Kubo 86 0.4× 116 1.1× 45 0.5× 12 0.3× 51 1.3× 18 325
F.W. Birke 156 0.7× 39 0.4× 76 0.9× 52 1.1× 23 0.6× 15 343
Michael Mrosek 251 1.2× 51 0.5× 40 0.5× 13 0.3× 57 1.4× 6 364
Bruce A. Steinbaugh 136 0.6× 94 0.9× 36 0.4× 78 1.7× 23 0.6× 14 343
Natasha Rozenkrants 96 0.4× 79 0.8× 59 0.7× 42 0.9× 7 0.2× 10 273
Richard D. Towner 114 0.5× 70 0.7× 17 0.2× 12 0.3× 24 0.6× 20 265

Countries citing papers authored by Aurash Shahripour

Since Specialization
Citations

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

Fields of papers citing papers by Aurash Shahripour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurash Shahripour

This figure shows the co-authorship network connecting the top 25 collaborators of Aurash Shahripour. A scholar is included among the top collaborators of Aurash Shahripour 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 Aurash Shahripour. Aurash Shahripour 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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2026