Florencio Pazos
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 45
- Protein Structure and Dynamics 31
- Microbial Metabolic Engineering and Bioproduction 22
- Machine Learning in Bioinformatics 20
- Genomics and Phylogenetic Studies 18
- Biomedical Text Mining and Ontologies 10
- RNA and protein synthesis mechanisms 9
- Endocrinology top 5%
- Immunology top 10%
- Aging top 10%
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- Enzyme Structure and Function 13
- Co-authors
- Alfonso ValenciaDavid JuanMónica ChagoyenGabriele AusielloManuela Helmer‐CitterichMichael J.E. SternbergYsabel SantosDavid Ochoa
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nucleic Acids Research (7 papers)The EMBO Journal (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Florencio Pazos
95 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 147
- Molecular Biology 4.3k
- Computational Theory and Mathematics 605
- Endocrinology 122
- Immunology 416
- Aging 31
Countries citing papers authored by Florencio Pazos
This map shows the geographic impact of Florencio Pazos'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 Florencio Pazos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florencio Pazos more than expected).
Fields of papers citing papers by Florencio Pazos
This network shows the impact of papers produced by Florencio Pazos. 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 Florencio Pazos. The network helps show where Florencio Pazos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Florencio Pazos, 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 | 2025 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 7 | |
| 7 | 2016 | 2 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 24 | |
| 10 | 2012 | 6 | |
| 11 | 2008 | 19 | |
| 12 | 2008 | 29 | |
| 13 | 2008 | 17 | |
| 14 | 2006 | 22 | |
| 15 | 2005 | 29 | |
| 16 | 2004 | 139 | |
| 17 | 2002 | 176 | |
| 18 | 2002 | 249 | |
| 19 | 1997 | 401 | |
| 20 | 1995 | 83 |
About Florencio Pazos
Florencio Pazos is a scholar working on Molecular Biology, Endocrinology and Computational Theory and Mathematics, having authored 100 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (45 papers), Protein Structure and Dynamics (31 papers), Microbial Metabolic Engineering and Bioproduction (22 papers), Machine Learning in Bioinformatics (20 papers), Genomics and Phylogenetic Studies (18 papers), Enzyme Structure and Function (13 papers), Biomedical Text Mining and Ontologies (10 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Molecular Biology (4.3k citations), Computational Theory and Mathematics (605 citations) and Endocrinology (122 citations). Florencio Pazos has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Alfonso Valencia, David Juan, Mónica Chagoyen, Gabriele Ausiello, Manuela Helmer‐Citterich, Michael J.E. Sternberg, Ysabel Santos, David Ochoa, Piero Fariselli and Rita Casadio. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The EMBO Journal.
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.