Peter V. Treit
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 7
- Mass Spectrometry Techniques and Applications 2
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education 2
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- Machine Learning in Bioinformatics 2
- Glycosylation and Glycoproteins Research 1
- vaccines and immunoinformatics approaches 1
- Safety Research top 10%
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- Ethics in Clinical Research 2
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- Adipokines, Inflammation, and Metabolic Diseases 1
Peter V. Treit
11 papers receiving 971 citations
Peers
Comparison fields: 5 of 125
- Spectroscopy 421
- Health Informatics 19
- Molecular Biology 494
- Cell Biology 91
- Safety Research 32
Countries citing papers authored by Peter V. Treit
This map shows the geographic impact of Peter V. Treit'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 Peter V. Treit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter V. Treit more than expected).
Fields of papers citing papers by Peter V. Treit
This network shows the impact of papers produced by Peter V. Treit. 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 Peter V. Treit. The network helps show where Peter V. Treit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter V. Treit, 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 | 57 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 26 | |
| 4 | 2021 | 40 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 130 | |
| 8 | 2019 | 200 | |
| 9 | 2019 | 189 | |
| 10 | 2018 | 255 | |
| 11 | 2018 | 71 |
About Peter V. Treit
Peter V. Treit is a scholar working on Health Informatics, Spectroscopy, Biophysics, Safety Research and Molecular Biology, having authored 11 papers that have together received 981 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Machine Learning in Bioinformatics (2 papers), Ethics in Clinical Research (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper), vaccines and immunoinformatics approaches (1 paper) and Adipokines, Inflammation, and Metabolic Diseases (1 paper). The work is most often cited by research in Spectroscopy (421 citations), Health Informatics (19 citations), Molecular Biology (494 citations), Cell Biology (91 citations) and Safety Research (32 citations). Peter V. Treit has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Matthias Mann, Philipp E. Geyer, Sophia Doll, Johannes Müller, Lili Niu, Jakob M. Bader, Alberto Santos, Florian Meier, Igor Paron and Dorte B. Bekker‐Jensen. Their work appears in journals such as Molecular & Cellular Proteomics, EMBO Molecular Medicine, Nature Machine Intelligence, Cell Systems and Nature.
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.