Ricardo Arcila

1.5k total citations · 1 hit paper
4 papers, 652 citations indexed

About

Ricardo Arcila is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Ricardo Arcila has authored 4 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Theory and Mathematics, 2 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Ricardo Arcila's work include Computational Drug Discovery Methods (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Data Quality and Management (1 paper). Ricardo Arcila is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Data Quality and Management (1 paper). Ricardo Arcila collaborates with scholars based in United Kingdom, United States and Switzerland. Ricardo Arcila's co-authors include Eloy Félix, Andrew R. Leach, David Méndez, Nicolas Bosc, Tevfik Kizilören, María Paula Magariños, Anna Gaulton, Barbara Zdrazil, Emma J. Manners and James Blackshaw and has published in prestigious journals such as Nucleic Acids Research, PeerJ and Journal of Cheminformatics.

In The Last Decade

Ricardo Arcila

4 papers receiving 634 citations

Hit Papers

The ChEMBL Database in 2023: a drug discovery platform sp... 2023 2026 2024 2025 2023 100 200 300 400

Peers

Ricardo Arcila
Sarah Kinnings United States
Sam Adams United Kingdom
Namrata Kale United Kingdom
Glenn J. Myatt United States
Adriano Dekker United Kingdom
Huijun Wang United States
Lee Harland United Kingdom
Ricardo Arcila
Citations per year, relative to Ricardo Arcila Ricardo Arcila (= 1×) peers Samuel Lampa

Countries citing papers authored by Ricardo Arcila

Since Specialization
Citations

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

Fields of papers citing papers by Ricardo Arcila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricardo Arcila

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

All Works

4 of 4 papers shown
1.
Zdrazil, Barbara, Eloy Félix, Fiona Hunter, et al.. (2023). The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods. Nucleic Acids Research. 52(D1). D1180–D1192. 469 indexed citations breakdown →
2.
Magariños, María Paula, Anna Gaulton, Eloy Félix, et al.. (2023). Illuminating the druggable genome through patent bioactivity data. PeerJ. 11. e15153–e15153. 6 indexed citations
3.
Bosc, Nicolas, Eloy Félix, Ricardo Arcila, et al.. (2021). MAIP: a web service for predicting blood‐stage malaria inhibitors. Journal of Cheminformatics. 13(1). 13–13. 27 indexed citations
4.
Lamprecht, Anna‐Lena, Leyla García, Mateusz Kuzak, et al.. (2019). Towards FAIR principles for research software. Edinburgh Research Explorer. 3(1). 37–59. 150 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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