Pablo Mínguez
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks 24
- Gene expression and cancer classification 15
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 7
- Gene Regulatory Network Analysis 6
- Ubiquitin and proteasome pathways 5
- Cancer Research top 1%
- Aging top 5%
- Immunology top 5%
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- Genomics and Rare Diseases 6
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Peer BorkAndrea FranceschiniChristian von MeringDamian SzklarczykAlexander RöthMilan SimonovicLars Juhl JensenMichael Kuhn
- Journals
- Nucleic Acids Research (14 papers)International Journal of Molecular Sciences (7 papers)PLoS ONE (4 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Pablo Mínguez
76 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 6.3k
- Cancer Research 1.2k
- Aging 74
- Immunology 860
- Computational Theory and Mathematics 580
Countries citing papers authored by Pablo Mínguez
This map shows the geographic impact of Pablo Mínguez'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 Pablo Mínguez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Mínguez more than expected).
Fields of papers citing papers by Pablo Mínguez
This network shows the impact of papers produced by Pablo Mínguez. 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 Pablo Mínguez. The network helps show where Pablo Mínguez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pablo Mínguez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 13 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 24 | |
| 14 | 2016 | 0 | |
| 15 | 2015 | 127 | |
| 16 | 2014 | 79 | |
| 17 | 2009 | 41 | |
| 18 | 2008 | 67 | |
| 19 | 2007 | 216 | |
| 20 | 2005 | 201 |
About Pablo Mínguez
Pablo Mínguez is a scholar working on Molecular Biology, Genetics and Cancer Research, having authored 79 papers that have together received 9.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (24 papers), Gene expression and cancer classification (15 papers), Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Rare Diseases (6 papers), Gene Regulatory Network Analysis (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Molecular Biology (6.3k citations), Cancer Research (1.2k citations) and Aging (74 citations). Pablo Mínguez has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Peer Bork, Andrea Franceschini, Christian von Mering, Damian Szklarczyk, Alexander Röth, Milan Simonovic, Lars Juhl Jensen, Michael Kuhn, Sune Pletscher-Frankild and Jianyi Lin. Their work appears in journals such as Nucleic Acids Research, International Journal of Molecular Sciences, PLoS ONE, npj Genomic Medicine and Scientific Reports.
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.