Matthew The
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Ubiquitin and proteasome pathways
Papers in
-
- Metabolomics and Mass Spectrometry Studies 9
- Machine Learning in Bioinformatics 4
- Gene expression and cancer classification 3
- Protein Degradation and Inhibitors 2
- Advanced Biosensing Techniques and Applications 2
- Spectroscopy 22
- Advanced Proteomics Techniques and Applications 22
- Mass Spectrometry Techniques and Applications 18
- Co-authors
- Lukas Käll (11 shared papers)William Stafford Noble (2 shared papers)Michael J. MacCoss (1 shared paper)Bernhard Küster (15 shared papers)Mathias Wilhelm (8 shared papers)Florian Bayer (9 shared papers)Julian Müller (5 shared papers)Patroklos Samaras (2 shared papers)
- Journals
- Journal of Proteome Research (6 papers)Nature Communications (3 papers)Molecular & Cellular Proteomics (3 papers)Analytical Chemistry (2 papers)PROTEOMICS (2 papers)
- Partner nations
- GermanySwedenUnited States
In The Last Decade
Matthew The
27 papers receiving 645 citations
Peers
Comparison fields: 5 of 91
- Spectroscopy 382
- Molecular Biology 522
- Biophysics 14
- Microbiology 10
- Information Systems and Management 11
Countries citing papers authored by Matthew The
This map shows the geographic impact of Matthew The'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 Matthew The with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew The more than expected).
Fields of papers citing papers by Matthew The
This network shows the impact of papers produced by Matthew The. 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 Matthew The. The network helps show where Matthew The may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew The, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 264 | |
| 2 | 2021 | 44 | |
| 3 | 2016 | 41 | |
| 4 | 2015 | 34 | |
| 5 | 2021 | 29 | |
| 6 | 2023 | 26 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 19 | |
| 9 | 2022 | 19 | |
| 10 | 2020 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2016 | 17 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2018 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2025 | 6 | |
| 20 | 2025 | 6 |
About Matthew The
Matthew The is a scholar working on Molecular Biology, Spectroscopy, Computational Theory and Mathematics, Pharmacology and Information Systems and Management, having authored 27 papers that have together received 652 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (22 papers), Mass Spectrometry Techniques and Applications (18 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Machine Learning in Bioinformatics (4 papers), Gene expression and cancer classification (3 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Spectroscopy (382 citations), Molecular Biology (522 citations), Biophysics (14 citations), Microbiology (10 citations) and Information Systems and Management (11 citations). Matthew The has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Lukas Käll, William Stafford Noble, Michael J. MacCoss, Bernhard Küster, Mathias Wilhelm, Florian Bayer, Julian Müller, Patroklos Samaras, Ludwig Lautenbacher and Julia Mergner. Their work appears in journals such as Journal of Proteome Research, Nature Communications, Molecular & Cellular Proteomics, Analytical Chemistry and 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.