Suhail A. Islam
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Genetics top 10%
- Computational Theory and Mathematics top 5%
- Spectroscopy top 5%
- Co-authors
- Michael J.E. SternbergMalcolm J. McGregorAlessia DavidD. L. WeaverSirawit IttisoponpisanPaul S. FreemontJeffrey BrownStephen Neidle
- Topics
- Protein Structure and Dynamics (19 papers)Enzyme Structure and Function (9 papers)Machine Learning in Bioinformatics (5 papers)
- Partner nations
- United KingdomUnited StatesHungary
In The Last Decade
Suhail A. Islam
33 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.6k
- Materials Chemistry 467
- Genetics 237
- Computational Theory and Mathematics 192
- Spectroscopy 170
Countries citing papers authored by Suhail A. Islam
This map shows the geographic impact of Suhail A. Islam'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 Suhail A. Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhail A. Islam more than expected).
Fields of papers citing papers by Suhail A. Islam
This network shows the impact of papers produced by Suhail A. Islam. 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 Suhail A. Islam. The network helps show where Suhail A. Islam may publish in the future.
Co-authorship network of co-authors of Suhail A. Islam
This figure shows the co-authorship network connecting the top 25 collaborators of Suhail A. Islam. A scholar is included among the top collaborators of Suhail A. Islam 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 Suhail A. Islam. Suhail A. Islam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Phyre2.2: A Community Resource for Template-based Protein Structure Predictionbreakdown → | 19 |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | Can Predicted Protein 3D Structures Provide Reliable Insights into whether Missense Variants Are Disease Associated?breakdown → | 298 |
| 7 | 18 | |
| 8 | 53 | |
| 9 | 16 | |
| 10 | 81 | |
| 11 | 17 | |
| 12 | 7 | |
| 13 | 102 | |
| 14 | 8 | |
| 15 | 38 | |
| 16 | 20 | |
| 17 | 39 | |
| 18 | 13 | |
| 19 | 20 | |
| 20 | 368 |
About Suhail A. Islam
Suhail A. Islam is a scholar working on Molecular Biology, Toxicology and Geriatrics and Gerontology, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), Enzyme Structure and Function (9 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Computational Theory and Mathematics (192 citations) and Pharmacology (93 citations). Suhail A. Islam has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include Michael J.E. Sternberg, Malcolm J. McGregor, Alessia David, D. L. Weaver, Sirawit Ittisoponpisan, Paul S. Freemont, Jeffrey Brown, Stephen Neidle, Carol Shiels and Christopher R. Reynolds. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Journal of Molecular Biology.
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.