Mathias Walzer
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 14
- Mass Spectrometry Techniques and Applications 12
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies 8
- vaccines and immunoinformatics approaches 4
- Genomics and Phylogenetic Studies 2
- Cell Biology top 2%
- Aging top 5%
- Immunology top 5%
- Immunotherapy and Immune Responses 2
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- Scientific Computing and Data Management 4
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- Research Data Management Practices 2
- Co-authors
- Yasset Pérez‐RiverolJuan Antonio VizcaínoAnanth PrakashShengbo WangDeepti J KunduChakradhar BandlaSelvakumar KamatchinathanSuresh Hewapathirana
- Journals
- Molecular & Cellular Proteomics (3 papers)Journal of Proteome Research (2 papers)PROTEOMICS (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Mathias Walzer
19 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Spectroscopy 796
- Molecular Biology 3.2k
- Cell Biology 467
- Aging 44
- Immunology 518
Countries citing papers authored by Mathias Walzer
This map shows the geographic impact of Mathias Walzer'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 Mathias Walzer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Walzer more than expected).
Fields of papers citing papers by Mathias Walzer
This network shows the impact of papers produced by Mathias Walzer. 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 Mathias Walzer. The network helps show where Mathias Walzer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathias Walzer, 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 | 2024 | 4 | |
| 2 | The PRIDE database at 20 years: 2025 updatebreakdown → | 2024 | 375 |
| 3 | 2023 | 4 | |
| 4 | 2022 | 16 | |
| 5 | The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidencesbreakdown → | 2021 | 3918 |
| 6 | 2020 | 9 | |
| 7 | 2019 | 141 | |
| 8 | 2019 | 5 | |
| 9 | 2017 | 42 | |
| 10 | 2017 | 8 | |
| 11 | 2017 | 67 | |
| 12 | 2017 | 17 | |
| 13 | 2017 | 56 | |
| 14 | 2016 | 118 | |
| 15 | 2016 | 0 | |
| 16 | 2016 | 29 | |
| 17 | 2015 | 23 | |
| 18 | 2013 | 2 | |
| 19 | 2013 | 47 | |
| 20 | 2013 | 63 |
About Mathias Walzer
Mathias Walzer is a scholar working on Spectroscopy, Information Systems and Management and Molecular Biology, having authored 20 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (12 papers), Metabolomics and Mass Spectrometry Studies (8 papers), vaccines and immunoinformatics approaches (4 papers), Scientific Computing and Data Management (4 papers), Research Data Management Practices (2 papers), Immunotherapy and Immune Responses (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Spectroscopy (796 citations), Molecular Biology (3.2k citations) and Cell Biology (467 citations). Mathias Walzer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Yasset Pérez‐Riverol, Juan Antonio Vizcaíno, Ananth Prakash, Shengbo Wang, Deepti J Kundu, Chakradhar Bandla, Selvakumar Kamatchinathan, Suresh Hewapathirana, Jingwen Bai and Martin Eisenacher. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, PROTEOMICS, Nucleic Acids Research and Nature Methods.
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.