Avner Schlessinger
Impact in
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 35
- Biochemistry 22
- Amino Acid Enzymes and Metabolism 22
- Co-authors
- Burkhard Rost (15 shared papers)Andrej Šali (16 shared papers)Peter M.U. Ung (20 shared papers)Claire Colas (17 shared papers)Kathleen M. Giacomini (17 shared papers)Marco Punta (6 shared papers)Guy Yachdav (3 shared papers)Hao Fan (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (8 papers)Biophysical Journal (7 papers)PLoS Computational Biology (6 papers)Biochemistry (5 papers)Nature Communications (5 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Avner Schlessinger
123 papers receiving 7.4k citations
Avner Schlessinger's Hit Papers
Peers
Comparison fields: 5 of 147
- Biochemistry 594
- Computational Theory and Mathematics 927
- Molecular Biology 3.4k
- Oncology 857
- Pharmacology 253
Countries citing papers authored by Avner Schlessinger
This map shows the geographic impact of Avner Schlessinger'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 Avner Schlessinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avner Schlessinger more than expected).
Fields of papers citing papers by Avner Schlessinger
This network shows the impact of papers produced by Avner Schlessinger. 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 Avner Schlessinger. The network helps show where Avner Schlessinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Avner Schlessinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ModBase, a database of annotated comparative protein structure models, and associated resources Hit paper breakdown → | 2010 | 709 |
| 2 | 2014 | 487 | |
| 3 | Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions Hit paper breakdown → | 2020 | 319 |
| 4 | 2016 | 292 | |
| 5 | 2011 | 273 | |
| 6 | 2003 | 271 | |
| 7 | 2007 | 199 | |
| 8 | 2021 | 187 | |
| 9 | 2010 | 178 | |
| 10 | 2010 | 173 | |
| 11 | 2016 | 169 | |
| 12 | 2013 | 159 | |
| 13 | 2009 | 158 | |
| 14 | 2005 | 154 | |
| 15 | 2006 | 131 | |
| 16 | 2011 | 123 | |
| 17 | 2011 | 122 | |
| 18 | 2013 | 121 | |
| 19 | 2011 | 120 | |
| 20 | 2011 | 113 |
About Avner Schlessinger
Avner Schlessinger is a scholar working on Computational Theory and Mathematics, Biochemistry, Molecular Biology, Oncology and Genetics, having authored 125 papers that have together received 7.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (35 papers), Protein Structure and Dynamics (33 papers), Amino Acid Enzymes and Metabolism (22 papers), Drug Transport and Resistance Mechanisms (20 papers), Bioinformatics and Genomic Networks (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Genomics and Rare Diseases (6 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Biochemistry (594 citations), Computational Theory and Mathematics (927 citations), Molecular Biology (3.4k citations), Oncology (857 citations) and Pharmacology (253 citations). Avner Schlessinger has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Burkhard Rost, Andrej Šali, Peter M.U. Ung, Claire Colas, Kathleen M. Giacomini, Marco Punta, Guy Yachdav, Hao Fan, John J. Irwin and Thomas E. Ferrin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, PLoS Computational Biology, Biochemistry and Nature Communications.
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.