Pedro R. Cutillas
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 40
- Mass Spectrometry Techniques and Applications 20
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 17
- PI3K/AKT/mTOR signaling in cancer 13
- Protein Kinase Regulation and GTPase Signaling 12
- Bioinformatics and Genomic Networks 11
- Aging top 5%
- Cancer Research top 5%
- Cell Biology top 5%
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- Cancer-related Molecular Pathways 8
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- Computational Drug Discovery Methods 8
- Co-authors
- Pedro CasadoBart VanhaesebroeckVinothini RajeeveJuan‐Carlos Rodríguez‐PradosLuisa BeltranBarbara GeeringEdmund H. WilkesRobert J. Unwin
- Cited by
- SpectroscopyMolecular BiologyAging
- Journals
- Molecular & Cellular Proteomics (11 papers)Nature Communications (8 papers)Cancer Research (4 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Pedro R. Cutillas
131 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 131
- Spectroscopy 988
- Molecular Biology 2.7k
- Aging 55
- Cancer Research 463
- Cell Biology 411
Countries citing papers authored by Pedro R. Cutillas
This map shows the geographic impact of Pedro R. Cutillas'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 Pedro R. Cutillas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro R. Cutillas more than expected).
Fields of papers citing papers by Pedro R. Cutillas
This network shows the impact of papers produced by Pedro R. Cutillas. 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 Pedro R. Cutillas. The network helps show where Pedro R. Cutillas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pedro R. Cutillas, 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 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 60 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 16 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 38 | |
| 13 | 2018 | 46 | |
| 14 | 2016 | 172 | |
| 15 | 2016 | 26 | |
| 16 | 2012 | 2 | |
| 17 | 2012 | 58 | |
| 18 | 2010 | 5 | |
| 19 | 2010 | 6 | |
| 20 | 2004 | 56 |
About Pedro R. Cutillas
Pedro R. Cutillas is a scholar working on Spectroscopy, Aging and Molecular Biology, having authored 136 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (40 papers), Mass Spectrometry Techniques and Applications (20 papers), Metabolomics and Mass Spectrometry Studies (17 papers), PI3K/AKT/mTOR signaling in cancer (13 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Bioinformatics and Genomic Networks (11 papers), Cancer-related Molecular Pathways (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Spectroscopy (988 citations), Molecular Biology (2.7k citations) and Aging (55 citations). Pedro R. Cutillas has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Pedro Casado, Bart Vanhaesebroeck, Vinothini Rajeeve, Juan‐Carlos Rodríguez‐Prados, Luisa Beltran, Barbara Geering, Edmund H. Wilkes, Robert J. Unwin, Bart Vanhaesebroeck and Rainer Cramer. Their work appears in journals such as Molecular & Cellular Proteomics, Nature Communications, Cancer Research, Biochemical Journal and Proceedings of the National Academy of Sciences.
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.