Ali A. Kermani

13 papers receiving 393 citations

Hit Papers

GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources 2022 · 122 citations
12220222026202320244080120

Peers

Ali A. Kermani
Comparison fields: 5 of 76
  • Molecular Medicine 31
  • Structural Biology 6
  • Molecular Biology 288
  • Cellular and Molecular Neuroscience 63
  • Computational Theory and Mathematics 42
Replace Gal Masrati with:
Gal Masrati Israel
Xiaodan Ni United States
Chiara Lee United Kingdom
Dominik Toušěk Czechia
Anastassiia Moussatova Canada
Justin Lecher Germany
Carien Dekker United Kingdom
Johannes F. Hevler Netherlands
Dietmar Weichert Ireland
Menno B. Tol Netherlands
Ali A. Kermani relative to Gal Masrati Israel Gal Masrati's profile →
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Citations per year

Countries citing papers authored by Ali A. Kermani

Since Specialization
Citations

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

Fields of papers citing papers by Ali A. Kermani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali A. Kermani. 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 Ali A. Kermani. The network helps show where Ali A. Kermani may publish in the future.

Co-authors

The 25 scholars most cited alongside Ali A. Kermani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ali A. Kermani Line = papers co-authored together Ali A. Kermani links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20250
2 20250
3 202421
4 20245
5 20242
6 20233
7 202316
8 20225
9
GPCRdb in 2023: state-specific structure models using AlphaFold2 and new ligand resources
Hit paper breakdown →
2022122
10 202119
11 202033
12 202072
13 201910
14 201859
15 201329

About Ali A. Kermani

Ali A. Kermani is a scholar working on Molecular Medicine, Bioengineering, Cellular and Molecular Neuroscience, Electrochemistry and Molecular Biology, having authored 15 papers that have together received 396 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Receptor Mechanisms and Signaling (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers), Biochemical and Molecular Research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (31 citations), Structural Biology (6 citations), Molecular Biology (288 citations), Cellular and Molecular Neuroscience (63 citations) and Computational Theory and Mathematics (42 citations). Ali A. Kermani has collaborated with scholars based in United States, Denmark and Iran. Frequent co-authors include Jimmy Caroli, Gáspár Pándy‐Szekeres, David E. Gloriam, György M. Keserű, Albert J. Kooistra, Christian B. Macdonald, Randy B Stockbridge, Klaus Fütterer, Gurdyal S. Besra and Luke J. Alderwick. Their work appears in journals such as Nucleic Acids Research, FEBS Journal, Nature Communications, Cell Research and International Journal of Biological Macromolecules.

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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