Ricard García-Serna

462 total citations
15 papers, 298 citations indexed

About

Ricard García-Serna is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Ricard García-Serna has authored 15 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 4 papers in Pharmacology. Recurrent topics in Ricard García-Serna's work include Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Ricard García-Serna is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Ricard García-Serna collaborates with scholars based in Spain, Netherlands and France. Ricard García-Serna's co-authors include Jordi Mestres, David Vidal, Scott Boyer, Tudor I. Oprea, Oleg Ursu, Kristina Hettne, Marc Weeber, Montserrat Cases, Diana Montes‐Grajales and Lulla Opatowski and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Ricard García-Serna

14 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ricard García-Serna Spain 11 174 144 51 39 34 15 298
Roberto Nuti Italy 11 168 1.0× 304 2.1× 64 1.3× 38 1.0× 7 0.2× 16 628
Alexander Fekete United States 8 112 0.6× 143 1.0× 32 0.6× 38 1.0× 23 0.7× 10 280
Beihong Ji United States 12 169 1.0× 360 2.5× 43 0.8× 32 0.8× 5 0.1× 33 507
Joanna Owens United States 8 103 0.6× 175 1.2× 30 0.6× 25 0.6× 5 0.1× 44 362
Jayme Holmes United States 8 394 2.3× 471 3.3× 46 0.9× 79 2.0× 12 0.4× 11 678
Harris Ioannidis United Kingdom 7 288 1.7× 366 2.5× 38 0.7× 23 0.6× 9 0.3× 8 592
Jin Niu United States 6 57 0.3× 157 1.1× 15 0.3× 35 0.9× 8 0.2× 12 284
Chayan Acharya United States 11 146 0.8× 330 2.3× 62 1.2× 41 1.1× 4 0.1× 16 611
Sybilla Corbett United Kingdom 3 261 1.5× 271 1.9× 36 0.7× 22 0.6× 9 0.3× 5 486
Peter Ripphausen Germany 7 336 1.9× 332 2.3× 74 1.5× 30 0.8× 12 0.4× 8 562

Countries citing papers authored by Ricard García-Serna

Since Specialization
Citations

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

Fields of papers citing papers by Ricard García-Serna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ricard García-Serna. 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 Ricard García-Serna. The network helps show where Ricard García-Serna may publish in the future.

Co-authorship network of co-authors of Ricard García-Serna

This figure shows the co-authorship network connecting the top 25 collaborators of Ricard García-Serna. A scholar is included among the top collaborators of Ricard García-Serna 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 Ricard García-Serna. Ricard García-Serna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
García-Serna, Ricard, et al.. (2025). Enhancing molecular property prediction through data integration and consistency assessment. Journal of Cheminformatics. 17(1). 163–163.
2.
García-Serna, Ricard, et al.. (2025). Refined ADME Profiles for ATC Drug Classes. Pharmaceutics. 17(3). 308–308. 4 indexed citations
3.
Montes‐Grajales, Diana, Ricard García-Serna, & Jordi Mestres. (2023). Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events. Scientific Reports. 13(1). 18817–18817. 11 indexed citations
4.
Escaramís, Geòrgia, et al.. (2019). Comparison of Zebrafish Larvae and hiPSC Cardiomyocytes for Predicting Drug-Induced Cardiotoxicity in Humans. Toxicological Sciences. 171(2). 283–295. 27 indexed citations
5.
Sultana, Janet, Marco Calabrò, Ricard García-Serna, et al.. (2017). Biological substantiation of antipsychotic-associated pneumonia: Systematic literature review and computational analyses. PLoS ONE. 12(10). e0187034–e0187034. 20 indexed citations
6.
García-Serna, Ricard, et al.. (2016). The In Vitro Pharmacological Profile of Drugs as a Proxy Indicator of Potential In Vivo Organ Toxicities. Chemical Research in Toxicology. 29(4). 637–648. 5 indexed citations
7.
García-Serna, Ricard, et al.. (2015). Large-Scale Predictive Drug Safety: From Structural Alerts to Biological Mechanisms. Chemical Research in Toxicology. 28(10). 1875–1887. 38 indexed citations
8.
Bauer‐Mehren, Anna, Erik M. van Mulligen, Paul Avillach, et al.. (2012). Correction: Automatic Filtering and Substantiation of Drug Safety Signals. PLoS Computational Biology. 8(5). 1 indexed citations
9.
Bauer‐Mehren, Anna, Erik M. van Mulligen, Paul Avillach, et al.. (2012). Automatic Filtering and Substantiation of Drug Safety Signals. PLoS Computational Biology. 8(4). e1002457–e1002457. 28 indexed citations
10.
García-Serna, Ricard & Jordi Mestres. (2010). Chemical probes for biological systems. Drug Discovery Today. 16(3-4). 99–106. 14 indexed citations
11.
García-Serna, Ricard & Jordi Mestres. (2010). Anticipating drug side effects by comparative pharmacology. Expert Opinion on Drug Metabolism & Toxicology. 6(10). 1253–1263. 36 indexed citations
12.
Vidal, David, Ricard García-Serna, & Jordi Mestres. (2010). Ligand-Based Approaches to In Silico Pharmacology. Methods in molecular biology. 672. 489–502. 54 indexed citations
13.
García-Serna, Ricard, Oleg Ursu, Tudor I. Oprea, & Jordi Mestres. (2010). iPHACE: integrative navigation in pharmacological space. Bioinformatics. 26(7). 985–986. 21 indexed citations
14.
García-Serna, Ricard, Lulla Opatowski, & Jordi Mestres. (2006). FCP: functional coverage of the proteome by structures. Bioinformatics. 22(14). 1792–1793. 11 indexed citations
15.
Cases, Montserrat, Ricard García-Serna, Kristina Hettne, et al.. (2005). Chemical and Biological Profiling of an Annotated Compound Library Directed to the Nuclear Receptor Family. Current Topics in Medicinal Chemistry. 5(8). 763–772. 28 indexed citations

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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