José Navarrete-Perea
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 17
- Mass Spectrometry Techniques and Applications 12
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 7
- Advanced Biosensing Techniques and Applications 7
- Bioinformatics and Genomic Networks 4
- Fungal and yeast genetics research 4
- Aging top 10%
- Cancer Research top 10%
- Parasitology top 10%
- Parasitic Infections and Diagnostics 5
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- Parasitic infections in humans and animals 6
- Co-authors
- Steven P. GygiJoão A. PauloQing YuDevin K. SchweppeRamin RadDerek J. BaileyBrian K. EricksonKaren Adelman
- Cited by
- SpectroscopyMolecular BiologyAging
- Journals
- Journal of Proteome Research (7 papers)Journal of the American Society for Mass Spectrometry (3 papers)Journal of Proteomics (3 papers)
- Partner nations
- United StatesMexicoSpain
In The Last Decade
José Navarrete-Perea
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Spectroscopy 529
- Molecular Biology 1.1k
- Aging 20
- Cancer Research 167
- Parasitology 59
Countries citing papers authored by José Navarrete-Perea
This map shows the geographic impact of José Navarrete-Perea'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 José Navarrete-Perea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Navarrete-Perea more than expected).
Fields of papers citing papers by José Navarrete-Perea
This network shows the impact of papers produced by José Navarrete-Perea. 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 José Navarrete-Perea. The network helps show where José Navarrete-Perea may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José Navarrete-Perea, 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 | 2023 | 20 | |
| 2 | 2022 | 17 | |
| 3 | 2021 | 9 | |
| 4 | 2021 | 42 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 177 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 78 | |
| 9 | 2020 | 14 | |
| 10 | 2020 | 8 | |
| 11 | 2019 | 207 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 54 | |
| 14 | 2018 | 211 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 31 | |
| 17 | 2018 | 3 | |
| 18 | 2017 | 11 | |
| 19 | 2015 | 5 | |
| 20 | 2014 | 15 |
About José Navarrete-Perea
José Navarrete-Perea is a scholar working on Spectroscopy, Parasitology and Molecular Biology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Advanced Biosensing Techniques and Applications (7 papers), Parasitic infections in humans and animals (6 papers), Parasitic Infections and Diagnostics (5 papers), Bioinformatics and Genomic Networks (4 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Spectroscopy (529 citations), Molecular Biology (1.1k citations) and Aging (20 citations). José Navarrete-Perea has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include Steven P. Gygi, João A. Paulo, Qing Yu, Devin K. Schweppe, Ramin Rad, Derek J. Bailey, Brian K. Erickson, Karen Adelman, Abhinav Dhall and Telmo Henriques. Their work appears in journals such as Journal of Proteome Research, Journal of the American Society for Mass Spectrometry, Journal of Proteomics, Analytical Chemistry and Molecular Cell.
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.