Pedro A. Valiente

3.8k citations
47 papers · 2.4k indexed · 1 hit paper · h-index 16
Topics
Computational Drug Discovery Methods (12 papers)Protein Structure and Dynamics (11 papers)Chemical Synthesis and Analysis (7 papers)
Partner nations
CubaCanadaBrazil

In The Last Decade

Pedro A. Valiente

44 papers receiving 2.4k citations

Hit Papers

gmx_MMPBSA: A New Tool to Perform End-State Free Energy C...2021202620222024202150010001.5k

Peers

Pedro A. Valiente
Comparison fields: 5 of 133
  • Molecular Biology 1.3k
  • Computational Theory and Mathematics 541
  • Organic Chemistry 406
  • Oncology 258
  • Infectious Diseases 225
Replace Mario E. Valdés‐Tresanco with:
Mario E. Valdés‐Tresanco Cuba
Ernesto Moreno Cuba
Mario S. Valdés‐Tresanco Colombia
Natalya S. Bogatyreva Russia
Sebastian Salentin Germany
Bill R. Miller United States
T. Dwight McGee United States
Andreas Larsson Sweden
Xue Lei China
Pedro A. Valiente relative to Mario E. Valdés‐Tresanco Cuba Mario E. Valdés‐Tresanco's profile →
Citations per field
00.5×10×15×17.5×
Mario E. Valdés‐Tresanco · 1×
Citations per year

Countries citing papers authored by Pedro A. Valiente

Since Specialization
Citations

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

Fields of papers citing papers by Pedro A. Valiente

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pedro A. Valiente. 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 Pedro A. Valiente. The network helps show where Pedro A. Valiente may publish in the future.

Co-authorship network of co-authors of Pedro A. Valiente

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro A. Valiente. A scholar is included among the top collaborators of Pedro A. Valiente 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 Pedro A. Valiente. Pedro A. Valiente 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 0
2 2
3 3
4 8
5 5
6 13
7 18
8 2
9 10
10 6
11 239
12 7
13 11
14 12
15 30
16 18
17 13
18 9
19
Dipeptidil peptidasa IV y su implicación en el cáncer
1
20 3

About Pedro A. Valiente

Pedro A. Valiente is a scholar working on Paleontology, Biotechnology and Computational Theory and Mathematics, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (11 papers) and Chemical Synthesis and Analysis (7 papers). The work is most often cited by research in Computational Theory and Mathematics (541 citations), Toxicology (64 citations) and Molecular Biology (1.3k citations). Pedro A. Valiente has collaborated with scholars based in Cuba, Canada and Brazil. Frequent co-authors include Mario E. Valdés‐Tresanco, Ernesto Moreno, Mario S. Valdés‐Tresanco, Tirso Pons, Philip M. Kim, Pedro G. Pascutti, Uris Ros, María E. Lanio, Sergei Y. Noskov and Carlos Álvarez. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

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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