Pedro J. Ballester
Impact in
- Computational Theory and Mathematics top 0.05%
- Computational Drug Discovery Methods
- Molecular Biology top 2%
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Chemical Synthesis and Analysis
- vaccines and immunoinformatics approaches
- Genetics, Bioinformatics, and Biomedical Research
Papers in
-
- Computational Drug Discovery Methods 41
-
- Protein Structure and Dynamics 17
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 6
- Co-authors
- John B. O. Mitchell (2 shared papers)Hongjian Li (11 shared papers)W. Graham Richards (3 shared papers)Kwong‐Sak Leung (6 shared papers)Man‐Hon Wong (5 shared papers)Julius Rebek (1 shared paper)Tjama Tjivikua (1 shared paper)Maciej Wójcikowski (2 shared papers)
- Journals
- Biomolecules (4 papers)Wiley Interdisciplinary Reviews Computational Molecular Science (3 papers)Briefings in Bioinformatics (3 papers)PLoS ONE (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- FranceUnited KingdomHong Kong
In The Last Decade
Pedro J. Ballester
70 papers receiving 4.4k citations
Pedro J. Ballester's Hit Papers
Peers
Comparison fields: 5 of 172
- Computational Theory and Mathematics 2.8k
- Molecular Biology 2.7k
- Pharmacology 377
- Materials Chemistry 1.1k
- Biophysics 112
Countries citing papers authored by Pedro J. Ballester
This map shows the geographic impact of Pedro J. Ballester'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 Pedro J. Ballester with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro J. Ballester more than expected).
Fields of papers citing papers by Pedro J. Ballester
This network shows the impact of papers produced by Pedro J. Ballester. 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 Pedro J. Ballester. The network helps show where Pedro J. Ballester may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro J. Ballester, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A machine learning approach to predicting protein–ligand binding affinity with applications to molecular docking Hit paper breakdown → | 2010 | 637 |
| 2 | 2013 | 357 | |
| 3 | 1990 | 292 | |
| 4 | 2017 | 256 | |
| 5 | 2015 | 256 | |
| 6 | 2007 | 237 | |
| 7 | 2015 | 184 | |
| 8 | 2014 | 147 | |
| 9 | 2020 | 116 | |
| 10 | 2020 | 114 | |
| 11 | 2019 | 108 | |
| 12 | 2014 | 98 | |
| 13 | 2021 | 80 | |
| 14 | 2015 | 76 | |
| 15 | 2014 | 74 | |
| 16 | 2019 | 73 | |
| 17 | 2005 | 66 | |
| 18 | 2009 | 66 | |
| 19 | 2017 | 64 | |
| 20 | 2012 | 61 |
About Pedro J. Ballester
Pedro J. Ballester is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Pharmacology and Artificial Intelligence, having authored 74 papers that have together received 4.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (41 papers), Protein Structure and Dynamics (17 papers), Machine Learning in Materials Science (13 papers), Microbial Natural Products and Biosynthesis (13 papers), Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (6 papers), Enzyme Structure and Function (5 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Computational Theory and Mathematics (2.8k citations), Molecular Biology (2.7k citations), Pharmacology (377 citations), Materials Chemistry (1.1k citations) and Biophysics (112 citations). Pedro J. Ballester has collaborated with scholars based in France, United Kingdom and Hong Kong. Frequent co-authors include John B. O. Mitchell, Hongjian Li, W. Graham Richards, Kwong‐Sak Leung, Man‐Hon Wong, Julius Rebek, Tjama Tjivikua, Maciej Wójcikowski, Paweł Siedlecki and Gang Lü. Their work appears in journals such as Biomolecules, Wiley Interdisciplinary Reviews Computational Molecular Science, Briefings in Bioinformatics, PLoS ONE and BMC Bioinformatics.
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.