Luis G. Valerio

1.8k citations
47 papers · 1.3k indexed · h-index 19
Topics
Computational Drug Discovery Methods (16 papers)Pharmacogenetics and Drug Metabolism (9 papers)Carcinogens and Genotoxicity Assessment (7 papers)

In The Last Decade

Luis G. Valerio

47 papers receiving 1.2k citations

Peers

Luis G. Valerio
Comparison fields: 5 of 128
  • Molecular Biology 416
  • Computational Theory and Mathematics 323
  • Pharmacology 196
  • Plant Science 162
  • Health, Toxicology and Mutagenesis 127
Replace Srilatha Sakamuru with:
Srilatha Sakamuru United States
Lysiane Richert France
Walter M.A. Westerink Netherlands
Alexander Amberg Germany
Alan Wilson United States
Gabriele Scholz Switzerland
A. Laires Portugal
Raok Jeon South Korea
Anders Tunek Sweden
Jesús Javier Espinosa-Aguirre Mexico
Luis G. Valerio relative to Srilatha Sakamuru United States Srilatha Sakamuru's profile →
Citations per field
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Citations per year

Countries citing papers authored by Luis G. Valerio

Since Specialization
Citations

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

Fields of papers citing papers by Luis G. Valerio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis G. Valerio. 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 Luis G. Valerio. The network helps show where Luis G. Valerio may publish in the future.

Co-authorship network of co-authors of Luis G. Valerio

This figure shows the co-authorship network connecting the top 25 collaborators of Luis G. Valerio. A scholar is included among the top collaborators of Luis G. Valerio 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 Luis G. Valerio. Luis G. Valerio 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 1
2 5
3 16
4 11
5 39
6 27
7 8
8 16
9 25
10 18
11 187
12 13
13 3
14 33
15 56
16 90
17 108
18 16
19 51
20 22

About Luis G. Valerio

Luis G. Valerio is a scholar working on Pharmacology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Pharmacogenetics and Drug Metabolism (9 papers) and Carcinogens and Genotoxicity Assessment (7 papers). The work is most often cited by research in Pharmacology (196 citations), Computational Theory and Mathematics (323 citations) and Biochemistry (80 citations). Luis G. Valerio has collaborated with scholars based in United States, Thailand and United Kingdom. Frequent co-authors include Gustavo F. Gonzáles, Dennis R. Petersen, Kirk Arvidson, W. Tony Parks, Kevin P. Cross, Jadwiga K. Kepa, George V. Pickwell, Linda C. Quattrochi, Supratim Choudhuri and Ronald Chanderbhan. Their work appears in journals such as Science, PLANT PHYSIOLOGY and Molecules.

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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