Sander Willems
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Equine top 5%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Genomics and Chromatin Dynamics 6
- CRISPR and Genetic Engineering 4
- Epigenetics and DNA Methylation 3
- Histone Deacetylase Inhibitors Research 3
- Genomics and Phylogenetic Studies 3
- Spectroscopy 21
- Advanced Proteomics Techniques and Applications 20
- Mass Spectrometry Techniques and Applications 13
- Co-authors
- Matthias Mann (10 shared papers)Dieter Deforce (18 shared papers)Eugenia Voytik (5 shared papers)Maximilian T. Strauss (6 shared papers)Maarten Dhaenens (13 shared papers)Isabell Bludau (4 shared papers)Patricia Skowronek (5 shared papers)Fynn M. Hansen (3 shared papers)
In The Last Decade
Sander Willems
34 papers receiving 890 citations
Peers
Comparison fields: 5 of 102
- Spectroscopy 353
- Equine 21
- Molecular Biology 645
- Agronomy and Crop Science 33
- Biophysics 17
Countries citing papers authored by Sander Willems
This map shows the geographic impact of Sander Willems'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 Sander Willems with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sander Willems more than expected).
Fields of papers citing papers by Sander Willems
This network shows the impact of papers produced by Sander Willems. 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 Sander Willems. The network helps show where Sander Willems may publish in the future.
Co-authors
The 25 scholars most cited alongside Sander Willems, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 124 | |
| 2 | 2022 | 113 | |
| 3 | 2018 | 91 | |
| 4 | 2022 | 71 | |
| 5 | 2018 | 46 | |
| 6 | 2022 | 36 | |
| 7 | 2020 | 35 | |
| 8 | 2018 | 34 | |
| 9 | 2022 | 34 | |
| 10 | 2015 | 34 | |
| 11 | 1998 | 31 | |
| 12 | 2023 | 26 | |
| 13 | 2021 | 25 | |
| 14 | 2024 | 24 | |
| 15 | 2016 | 22 | |
| 16 | 2016 | 20 | |
| 17 | 2017 | 20 | |
| 18 | 2021 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2020 | 12 |
About Sander Willems
Sander Willems is a scholar working on Molecular Biology, Spectroscopy, Genetics, Information Systems and Management and Agronomy and Crop Science, having authored 35 papers that have together received 908 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (20 papers), Mass Spectrometry Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Genomics and Chromatin Dynamics (6 papers), CRISPR and Genetic Engineering (4 papers), Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Spectroscopy (353 citations), Equine (21 citations), Molecular Biology (645 citations), Agronomy and Crop Science (33 citations) and Biophysics (17 citations). Sander Willems has collaborated with scholars based in Belgium, Germany and Denmark. Frequent co-authors include Matthias Mann, Dieter Deforce, Eugenia Voytik, Maximilian T. Strauss, Maarten Dhaenens, Isabell Bludau, Patricia Skowronek, Fynn M. Hansen, Laura De Clerck and Constantin Ammar. Their work appears in journals such as PROTEOMICS, Molecular & Cellular Proteomics, Scientific Reports, Nature Communications and Journal of Proteomics.
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.