Mónica Campillos
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.1%
- Pharmacology top 0.5%
- Pharmacology top 2%
- Toxicology top 0.5%
- Co-authors
- Peer BorkLars Juhl JensenMichael KuhnAnne‐Claude GavinChristian von MeringIvica LetunićJesús VázquezIngo Vogt
- Topics
- Computational Drug Discovery Methods (17 papers)Bioinformatics and Genomic Networks (12 papers)Microbial Natural Products and Biosynthesis (4 papers)
In The Last Decade
Mónica Campillos
28 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 3.1k
- Computational Theory and Mathematics 2.5k
- Pharmacology 635
- Pharmacology 429
- Toxicology 199
Countries citing papers authored by Mónica Campillos
This map shows the geographic impact of Mónica Campillos'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 Mónica Campillos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónica Campillos more than expected).
Fields of papers citing papers by Mónica Campillos
This network shows the impact of papers produced by Mónica Campillos. 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 Mónica Campillos. The network helps show where Mónica Campillos may publish in the future.
Co-authorship network of co-authors of Mónica Campillos
This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Campillos. A scholar is included among the top collaborators of Mónica Campillos 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 Mónica Campillos. Mónica Campillos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 7 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 88 | |
| 7 | 96 | |
| 8 | 26 | |
| 9 | A side effect resource to capture phenotypic effects of drugsbreakdown → | 704 |
| 10 | 110 | |
| 11 | 69 | |
| 12 | 208 | |
| 13 | 70 | |
| 14 | STITCH: interaction networks of chemicals and proteinsbreakdown → | 729 |
| 15 | 477 | |
| 16 | 50 | |
| 17 | 90 | |
| 18 | 67 | |
| 19 | 33 | |
| 20 | 61 |
About Mónica Campillos
Mónica Campillos is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 28 papers that have together received 4.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Bioinformatics and Genomic Networks (12 papers) and Microbial Natural Products and Biosynthesis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (2.5k citations), Pharmacology (635 citations) and Toxicology (199 citations). Mónica Campillos has collaborated with scholars based in Germany, Spain and Denmark. Frequent co-authors include Peer Bork, Lars Juhl Jensen, Michael Kuhn, Anne‐Claude Gavin, Christian von Mering, Ivica Letunić, Jesús Vázquez, Ingo Vogt, Rainer Schneider and Jessica Ahmed. Their work appears in journals such as Science, Nucleic Acids Research and Bioinformatics.
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.