Philipp E. Geyer
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Biological Psychiatry top 5%
Papers in
- Spectroscopy 26
- Advanced Proteomics Techniques and Applications 24
- Mass Spectrometry Techniques and Applications 10
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- Metabolomics and Mass Spectrometry Studies 8
- Advanced Biosensing Techniques and Applications 4
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 3
- Co-authors
- Matthias Mann (32 shared papers)Daniel Teupser (5 shared papers)Lesca M. Holdt (5 shared papers)Nils A. Kulak (3 shared papers)Florian Meier (6 shared papers)Garwin Pichler (2 shared papers)Sophia Doll (11 shared papers)Peter V. Treit (9 shared papers)
- Journals
- Molecular & Cellular Proteomics (7 papers)Molecular Systems Biology (5 papers)Journal of Proteome Research (5 papers)EMBO Molecular Medicine (3 papers)Cell Systems (2 papers)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Philipp E. Geyer
38 papers receiving 4.2k citations
Philipp E. Geyer's Hit Papers
Peers
Comparison fields: 5 of 156
- Spectroscopy 1.7k
- Biological Psychiatry 70
- Molecular Biology 2.1k
- Cell Biology 253
- Periodontics 66
Countries citing papers authored by Philipp E. Geyer
This map shows the geographic impact of Philipp E. Geyer'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 Philipp E. Geyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp E. Geyer more than expected).
Fields of papers citing papers by Philipp E. Geyer
This network shows the impact of papers produced by Philipp E. Geyer. 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 Philipp E. Geyer. The network helps show where Philipp E. Geyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp E. Geyer, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Revisiting biomarker discovery by plasma proteomics Hit paper breakdown → | 2017 | 622 |
| 2 | Plasma Proteome Profiling to Assess Human Health and Disease Hit paper breakdown → | 2016 | 504 |
| 3 | 2018 | 275 | |
| 4 | 2018 | 266 | |
| 5 | 2019 | 207 | |
| 6 | 2019 | 203 | |
| 7 | 2017 | 203 | |
| 8 | 2016 | 180 | |
| 9 | 2020 | 177 | |
| 10 | Noninvasive proteomic biomarkers for alcohol-related liver disease Hit paper breakdown → | 2022 | 174 |
| 11 | 2016 | 172 | |
| 12 | 2022 | 153 | |
| 13 | 2019 | 146 | |
| 14 | 2020 | 137 | |
| 15 | 2021 | 135 | |
| 16 | 2017 | 124 | |
| 17 | 2021 | 90 | |
| 18 | 2018 | 71 | |
| 19 | 2018 | 61 | |
| 20 | 2021 | 42 |
About Philipp E. Geyer
Philipp E. Geyer is a scholar working on Spectroscopy, Molecular Biology, Epidemiology, Cell Biology and Physiology, having authored 39 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Advanced Biosensing Techniques and Applications (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Spectroscopy (1.7k citations), Biological Psychiatry (70 citations), Molecular Biology (2.1k citations), Cell Biology (253 citations) and Periodontics (66 citations). Philipp E. Geyer has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Matthias Mann, Daniel Teupser, Lesca M. Holdt, Nils A. Kulak, Florian Meier, Garwin Pichler, Sophia Doll, Peter V. Treit, Sebastian Virreira Winter and Johannes Müller. Their work appears in journals such as Molecular & Cellular Proteomics, Molecular Systems Biology, Journal of Proteome Research, EMBO Molecular Medicine and Cell Systems.
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.