Jamel Meslamani
Impact in
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- Computational Drug Discovery Methods
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
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- Computational Drug Discovery Methods 8
- Virology 1
- Co-authors
- Ming‐Ming ZhouDidier RognanRoberto SánchezEsther KellenbergerHugues‐Olivier BertrandJiabo LiJon M. SutterAdrian P. Stevens
- Journals
- Journal of Chemical Information and Modeling (4 papers)Bioinformatics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Journal of Computer-Aided Molecular Design (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Jamel Meslamani
13 papers receiving 545 citations
Peers
Comparison fields: 5 of 73
- Computational Theory and Mathematics 223
- Hematology 88
- Molecular Biology 465
- Pharmacology 61
- Pharmacology 18
Countries citing papers authored by Jamel Meslamani
This map shows the geographic impact of Jamel Meslamani'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 Jamel Meslamani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamel Meslamani more than expected).
Fields of papers citing papers by Jamel Meslamani
This network shows the impact of papers produced by Jamel Meslamani. 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 Jamel Meslamani. The network helps show where Jamel Meslamani may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamel Meslamani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 5 | |
| 2 | 2019 | 39 | |
| 3 | 2018 | 51 | |
| 4 | 2016 | 20 | |
| 5 | 2016 | 46 | |
| 6 | 2015 | 6 | |
| 7 | 2014 | 150 | |
| 8 | 2014 | 11 | |
| 9 | 2013 | 20 | |
| 10 | 2012 | 93 | |
| 11 | 2011 | 78 | |
| 12 | 2011 | 27 | |
| 13 | 2009 | 11 |
About Jamel Meslamani
Jamel Meslamani is a scholar working on Computational Theory and Mathematics, Virology, Hematology, Molecular Biology and Cancer Research, having authored 13 papers that have together received 557 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Protein Degradation and Inhibitors (4 papers), Protein Structure and Dynamics (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Machine Learning in Materials Science (2 papers), Multiple Myeloma Research and Treatments (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (223 citations), Hematology (88 citations), Molecular Biology (465 citations), Pharmacology (61 citations) and Pharmacology (18 citations). Jamel Meslamani has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Ming‐Ming Zhou, Didier Rognan, Roberto Sánchez, Esther Kellenberger, Hugues‐Olivier Bertrand, Jiabo Li, Jon M. Sutter, Adrian P. Stevens, Steven Smith and David Marcus. Their work appears in journals such as Journal of Chemical Information and Modeling, Bioinformatics, Proceedings of the National Academy of Sciences, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Journal of Computer-Aided Molecular Design.
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.