Gaspar Pinto

1.4k total citations
25 papers, 953 citations indexed

About

Gaspar Pinto is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Gaspar Pinto has authored 25 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Materials Chemistry and 5 papers in Computational Theory and Mathematics. Recurrent topics in Gaspar Pinto's work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (6 papers) and Computational Drug Discovery Methods (5 papers). Gaspar Pinto is often cited by papers focused on Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (6 papers) and Computational Drug Discovery Methods (5 papers). Gaspar Pinto collaborates with scholars based in Czechia, Sweden and United States. Gaspar Pinto's co-authors include Jiřı́ Damborský, David Bednář, Piia Kokkonen, Zbyněk Prokop, Jan Štourač, Marina Corbella, Shina Caroline Lynn Kamerlin, Jiří Filipovič, Ondřej Vávra and Jan Brezovský and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Trends in Biochemical Sciences.

In The Last Decade

Gaspar Pinto

23 papers receiving 947 citations

Peers

Gaspar Pinto
Comparison fields: 5 of 94
  • Molecular Biology 727
  • Materials Chemistry 171
  • Organic Chemistry 113
  • Biomedical Engineering 103
  • Biotechnology 76
Replace Piia Kokkonen with:
Piia Kokkonen Czechia
Patrick C. Cirino United States
Roberto A. Chica Canada
Aldino Viegas Portugal
Shuangyan Zhou China
Atiyatul Qadeer India
Amar B. T. Ghisaidoobe Netherlands
Constance S. Cassidy United States
Dušan Petrović Sweden
Vítor H. Teixeira Portugal
Piia Kokkonen Czechia View profile →
Citations per field, relative to Gaspar Pinto
Gaspar Pinto · 1×
Citations per year, relative to Gaspar Pinto
Gaspar Pinto · 1×

Countries citing papers authored by Gaspar Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Gaspar Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaspar Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Gaspar Pinto. A scholar is included among the top collaborators of Gaspar Pinto 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 Gaspar Pinto. Gaspar Pinto 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 0
2 0
3 1
4 2
5 3
6 79
7 36
8 18
9 31
10 64
11 8
12 69
13 11
14 52
15 18
16 168
17 19
18 21
19 21
20 50

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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2026