An Staes
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- Metabolomics and Mass Spectrometry Studies
- Glycosylation and Glycoproteins Research
- RNA and protein synthesis mechanisms
Papers in
- Spectroscopy 30
- Advanced Proteomics Techniques and Applications 29
- Mass Spectrometry Techniques and Applications 24
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- Metabolomics and Mass Spectrometry Studies 12
- Glycosylation and Glycoproteins Research 11
- RNA and protein synthesis mechanisms 7
- Ubiquitin and proteasome pathways 6
- Co-authors
- Kris GevaertJoël VandekerckhoveLennart MartensJo Van DammeMarc GoethalsEvy TimmermanPetra Van DammeGrégoire Thomas
- Journals
- Journal of Proteome Research (14 papers)PROTEOMICS (8 papers)Molecular & Cellular Proteomics (5 papers)Nature Methods (4 papers)Scientific Reports (3 papers)
- Partner nations
- BelgiumUnited KingdomGermany
In The Last Decade
An Staes
78 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 122
- Spectroscopy 1.3k
- Molecular Biology 2.6k
- Oncology 758
- Cancer Research 366
- Microbiology 126
Countries citing papers authored by An Staes
This map shows the geographic impact of An Staes'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 An Staes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An Staes more than expected).
Fields of papers citing papers by An Staes
This network shows the impact of papers produced by An Staes. 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 An Staes. The network helps show where An Staes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside An Staes, 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 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 179 | |
| 13 | 2019 | 31 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 13 | |
| 16 | 2016 | 44 | |
| 17 | 2012 | 34 | |
| 18 | 2012 | 77 | |
| 19 | 2011 | 145 | |
| 20 | 2008 | 11 |
About An Staes
An Staes is a scholar working on Spectroscopy, Molecular Biology, Microbiology, Oncology and Immunology, having authored 78 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (29 papers), Mass Spectrometry Techniques and Applications (24 papers), Metabolomics and Mass Spectrometry Studies (12 papers), Glycosylation and Glycoproteins Research (11 papers), Peptidase Inhibition and Analysis (9 papers), RNA and protein synthesis mechanisms (7 papers), Ubiquitin and proteasome pathways (6 papers) and Invertebrate Immune Response Mechanisms (4 papers). The work is most often cited by research in Spectroscopy (1.3k citations), Molecular Biology (2.6k citations), Oncology (758 citations), Cancer Research (366 citations) and Microbiology (126 citations). An Staes has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Kris Gevaert, Joël Vandekerckhove, Lennart Martens, Jo Van Damme, Marc Goethals, Evy Timmerman, Petra Van Damme, Grégoire Thomas, Hans Demol and Francis Impens. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Molecular & Cellular Proteomics, Nature Methods 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.