Pablo Porras

10.6k total citations · 1 hit paper
32 papers, 1.5k citations indexed

About

Pablo Porras is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Pablo Porras has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Pablo Porras's work include Bioinformatics and Genomic Networks (18 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Redox biology and oxidative stress (7 papers). Pablo Porras is often cited by papers focused on Bioinformatics and Genomic Networks (18 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Redox biology and oxidative stress (7 papers). Pablo Porras collaborates with scholars based in United Kingdom, Germany and Spain. Pablo Porras's co-authors include Sandra Orchard, Simona Panni, Ruth C. Lovering, Erich E. Wanker, Henning Hermjakob, Miguel A. Andrade‐Navarro, Martin H. Schaefer, Jean−Fred Fontaine, Arunachalam Vinayagam and José Antonio Bárcena and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Pablo Porras

31 papers receiving 1.5k citations

Hit Papers

Non-coding RNA regulatory networks 2019 2026 2021 2023 2019 100 200 300

Peers

Pablo Porras
Comparison fields: 5 of 114
  • Molecular Biology 1.2k
  • Cancer Research 277
  • Computational Theory and Mathematics 150
  • Cell Biology 102
  • Cellular and Molecular Neuroscience 94
Replace Natalia J. Martinez with:
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Natalia J. Martinez United States View profile →
Citations per field, relative to Pablo Porras
Pablo Porras · 1×
Citations per year, relative to Pablo Porras
Pablo Porras · 1×

Countries citing papers authored by Pablo Porras

Since Specialization
Citations

This map shows the geographic impact of Pablo Porras'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 Pablo Porras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Porras more than expected).

Fields of papers citing papers by Pablo Porras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Porras. 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 Pablo Porras. The network helps show where Pablo Porras may publish in the future.

Co-authorship network of co-authors of Pablo Porras

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Porras. A scholar is included among the top collaborators of Pablo Porras 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 Pablo Porras. Pablo Porras 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
# Work Indexed citations
1 3
2 42
3 3
4 5
5 4
6 37
7 25
8 11
9 20
10
Non-coding RNA regulatory networks breakdown →
335
11 55
12 42
13 21
14 132
15 61
16 13
17 68
18 49
19 6
20 46

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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