Arian R. Jamasb
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Genetics
- Co-authors
- Tom L. BlundellMichael M. BronsteinBen DayPíetro LióAlexander Shakeel BatesGregory S.X.E. JefferisDavi D. BockEsteban J. Beckwith
- Topics
- Computational Drug Discovery Methods (7 papers)Protein Structure and Dynamics (3 papers)Neurobiology and Insect Physiology Research (3 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Arian R. Jamasb
10 papers receiving 585 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cellular and Molecular Neuroscience 198
- Molecular Biology 185
- Computational Theory and Mathematics 159
- Materials Chemistry 115
- Genetics 113
Countries citing papers authored by Arian R. Jamasb
This map shows the geographic impact of Arian R. Jamasb'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 Arian R. Jamasb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arian R. Jamasb more than expected).
Fields of papers citing papers by Arian R. Jamasb
This network shows the impact of papers produced by Arian R. Jamasb. 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 Arian R. Jamasb. The network helps show where Arian R. Jamasb may publish in the future.
Co-authorship network of co-authors of Arian R. Jamasb
This figure shows the co-authorship network connecting the top 25 collaborators of Arian R. Jamasb. A scholar is included among the top collaborators of Arian R. Jamasb 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 Arian R. Jamasb. Arian R. Jamasb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Structure-based drug design with equivariant diffusion modelsbreakdown → | 52 |
| 2 | Machine learning-aided generative molecular designbreakdown → | 68 |
| 3 | 28 | |
| 4 | 12 | |
| 5 | 26 | |
| 6 | 154 | |
| 7 | 106 | |
| 8 | 29 | |
| 9 | 55 | |
| 10 | 65 |
About Arian R. Jamasb
Arian R. Jamasb is a scholar working on Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Sensory Systems, having authored 10 papers that have together received 595 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (198 citations), Computational Theory and Mathematics (159 citations) and Sensory Systems (31 citations). Arian R. Jamasb has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Tom L. Blundell, Michael M. Bronstein, Ben Day, Píetro Lió, Alexander Shakeel Bates, Gregory S.X.E. Jefferis, Davi D. Bock, Esteban J. Beckwith, Quentin Geissmann and Jake P. Taylor‐King. Their work appears in journals such as Current Biology, PLoS Biology and Chemical Science.
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.