Jordi Mestres

7.8k citations
139 papers · 4.5k indexed · 1 hit paper · h-index 37

Jordi Mestres

134 papers receiving 4.3k citations

Hit Papers

In silico pharmacology for drug discovery: methods for vi...4932007202620132019100200300400

Peers

Jordi Mestres
Comparison fields: 5 of 168
  • Computational Theory and Mathematics 2.1k
  • Pharmacology 468
  • Molecular Biology 2.3k
  • Pharmacology 518
  • Organic Chemistry 870
Replace Ingo Muegge with:
Ingo Muegge United States
G. Madhavi Sastry India
Steven L. Dixon United States
Maria A. Miteva France
Marc C. Nicklaus United States
Douglas B. Kitchen United States
Samuel Genheden Sweden
Marcel L. Verdonk United Kingdom
Teague Sterling United States
Xiaomin Luo China
Jordi Mestres relative to Ingo Muegge United States Ingo Muegge's profile →
Citations per field
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Ingo Muegge · 1×
Citations per year

Countries citing papers authored by Jordi Mestres

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Mestres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jordi Mestres, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jordi Mestres Line = papers co-authored together Jordi Mestres links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20254
4 20247
5 20240
6 202311
7 20232
8 20224
9 202222
10 201720
11 2015217
12 201338
13 201212
14
Towards Accelerated Anti-Cancer Drug Discovery: Integration of Chemoinformatics, Cell-Based Screening and Grid Computing
20100
15 201014
16 2009165
17 200949
18 200719
19 200469
20 199728

About Jordi Mestres

Jordi Mestres is a scholar working on Computational Theory and Mathematics, Pharmacology and Toxicology, having authored 139 papers that have together received 4.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (72 papers), Advanced Chemical Physics Studies (18 papers), Pharmacogenetics and Drug Metabolism (15 papers), Chemical Synthesis and Analysis (13 papers), Spectroscopy and Quantum Chemical Studies (12 papers), Receptor Mechanisms and Signaling (11 papers), Protein Structure and Dynamics (10 papers) and Microbial Natural Products and Biosynthesis (9 papers). The work is most often cited by research in Computational Theory and Mathematics (2.1k citations), Pharmacology (468 citations) and Molecular Biology (2.3k citations). Jordi Mestres has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Bernard Testa, Sean Ekins, Elisabet Gregori‐Puigjané, Miquel Duran, Miquel Solà, Tudor I. Oprea, Albert A. Antolín, Ricard García-Serna, Xavier Fradera and Gerald M. Maggiora. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

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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