Florencio Pazos

7.4k citations
100 papers · 5.2k indexed · h-index 35
Topics
Bioinformatics and Genomic Networks (45 papers)Protein Structure and Dynamics (31 papers)Microbial Metabolic Engineering and Bioproduction (22 papers)

In The Last Decade

Florencio Pazos

95 papers receiving 5.1k citations

Peers

Florencio Pazos
Comparison fields: 5 of 147
  • Molecular Biology 4.3k
  • Materials Chemistry 652
  • Computational Theory and Mathematics 605
  • Genetics 477
  • Immunology 416
Replace Leszek Rychlewski with:
Leszek Rychlewski Poland
Krzysztof Ginalski Poland
Benjamin Webb United States
Fabian Glaser Israel
Iddo Friedberg United States
Mona Singh United States
Damiano Piovesan Italy
Roberto Sánchez United States
Francisco Melo Chile
Raphaël Guérois France
Florencio Pazos relative to Leszek Rychlewski Poland Leszek Rychlewski's profile →
Citations per field
00.5×1.5×
Leszek Rychlewski · 1×
Citations per year

Countries citing papers authored by Florencio Pazos

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Florencio Pazos

This figure shows the co-authorship network connecting the top 25 collaborators of Florencio Pazos. A scholar is included among the top collaborators of Florencio Pazos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Florencio Pazos. Florencio Pazos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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13 17
14 22
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16 139
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18 249
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20 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) and Microbial Metabolic Engineering and Bioproduction (22 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.

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