Pablo Porras

10.6k citations
32 papers · 1.5k indexed · 1 hit paper · h-index 19
Topics
Bioinformatics and Genomic Networks (18 papers)Microbial Metabolic Engineering and Bioproduction (8 papers)Redox biology and oxidative stress (7 papers)

In The Last Decade

Pablo Porras

31 papers receiving 1.5k citations

Hit Papers

Non-coding RNA regulatory networks20192026202120232019100200300

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 Stanley J. F. Laulederkind with:
Stanley J. F. Laulederkind United States
Scott J. Novick United States
Jessica K. Gagnon United States
Noor Ahmad Shaik Saudi Arabia
Ting Xie China
Alexey V. Antonov United Kingdom
D. Vidović United States
Rui Hao China
Supriya Jayadev United States
Fabien Vincent United States
Pablo Porras relative to Stanley J. F. Laulederkind United States Stanley J. F. Laulederkind's profile →
Citations per field
00.5×
Stanley J. F. Laulederkind · 1×
Citations per year

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
#WorkIndexed citations
1 3
2 42
3 3
4 5
5 4
6 37
7 25
8 11
9 20
10
Non-coding RNA regulatory networksbreakdown →
335
11 55
12 42
13 21
14 132
15 61
16 13
17 68
18 49
19 6
20 46

About Pablo Porras

Pablo Porras is a scholar working on Aging, Molecular Biology and Computational Theory and Mathematics, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Microbial Metabolic Engineering and Bioproduction (8 papers) and Redox biology and oxidative stress (7 papers). The work is most often cited by research in Cancer Research (277 citations), Molecular Biology (1.2k citations) and Aging (23 citations). Pablo Porras has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

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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