Carles Pons
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Computational Drug Discovery Methods
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Juan Fernández‐RecioBrian Jiménez‐GarcíaAlbert SolernouLaura Pérez‐CanoSolène GrosdidierChad L. MyersPatrick AloyFlorencio Pazos
- Journals
- Proteins Structure Function and Bioinformatics (5 papers)Molecular Systems Biology (5 papers)Bioinformatics (4 papers)Nucleic Acids Research (4 papers)Journal of Chemical Theory and Computation (3 papers)
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Carles Pons
48 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Aging 89
- Computational Theory and Mathematics 296
- Molecular Biology 1.2k
- Hepatology 61
- Structural Biology 10
Countries citing papers authored by Carles Pons
This map shows the geographic impact of Carles Pons'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 Carles Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carles Pons more than expected).
Fields of papers citing papers by Carles Pons
This network shows the impact of papers produced by Carles Pons. 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 Carles Pons. The network helps show where Carles Pons may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carles Pons, 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 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 37 | |
| 7 | 2017 | 44 | |
| 8 | 2017 | 3 | |
| 9 | 2015 | 21 | |
| 10 | 2013 | 69 | |
| 11 | 2012 | 11 | |
| 12 | 2012 | 6 | |
| 13 | 2011 | 35 | |
| 14 | 2010 | 23 | |
| 15 | 2010 | 53 | |
| 16 | 2010 | 23 | |
| 17 | 2009 | 53 | |
| 18 | 2009 | 72 | |
| 19 | 2009 | 61 | |
| 20 | 2008 | 17 |
About Carles Pons
Carles Pons is a scholar working on Aging, Gastroenterology, Molecular Biology, Computational Theory and Mathematics and Cancer Research, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Bioinformatics and Genomic Networks (14 papers), Enzyme Structure and Function (10 papers), Computational Drug Discovery Methods (8 papers), Fungal and yeast genetics research (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), CRISPR and Genetic Engineering (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (89 citations), Computational Theory and Mathematics (296 citations), Molecular Biology (1.2k citations), Hepatology (61 citations) and Structural Biology (10 citations). Carles Pons has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Juan Fernández‐Recio, Brian Jiménez‐García, Albert Solernou, Laura Pérez‐Cano, Solène Grosdidier, Chad L. Myers, Patrick Aloy, Florencio Pazos, Alfonso Valencia and Modesto Orozco. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Molecular Systems Biology, Bioinformatics, Nucleic Acids Research and Journal of Chemical Theory and Computation.
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.