Philipp E. Geyer
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications 23
- Mass Spectrometry Techniques and Applications 10
- Biological Psychiatry top 5%
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 8
- Advanced Biosensing Techniques and Applications 4
- Machine Learning in Bioinformatics 3
- Bioinformatics and Genomic Networks 3
- Cell Biology top 5%
- Physiology top 5%
- Adipose Tissue and Metabolism 3
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Matthias MannDaniel TeupserLesca M. HoldtNils A. KulakFlorian MeierGarwin PichlerSophia DollSebastian Virreira Winter
- Journals
- Molecular & Cellular Proteomics (7 papers)Journal of Proteome Research (5 papers)Molecular Systems Biology (5 papers)
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Philipp E. Geyer
38 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Spectroscopy 1.7k
- Biological Psychiatry 89
- Molecular Biology 2.2k
- Cell Biology 298
- Physiology 460
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 12 | |
| 3 | 2022 | 138 | |
| 4 | Noninvasive proteomic biomarkers for alcohol-related liver diseasebreakdown → | 2022 | 154 |
| 5 | 2022 | 27 | |
| 6 | 2022 | 32 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 21 | |
| 9 | 2021 | 121 | |
| 10 | 2021 | 4 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 40 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 37 | |
| 15 | 2018 | 255 | |
| 16 | 2018 | 271 | |
| 17 | 2018 | 71 | |
| 18 | 2017 | 198 | |
| 19 | 2017 | 122 | |
| 20 | 2016 | 173 |
About Philipp E. Geyer
Philipp E. Geyer is a scholar working on Spectroscopy, Health Informatics, Biological Psychiatry, Biophysics and Molecular Biology, having authored 38 papers that have together received 4.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (23 papers), Mass Spectrometry Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Advanced Biosensing Techniques and Applications (4 papers), Machine Learning in Bioinformatics (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Bioinformatics and Genomic Networks (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Spectroscopy (1.7k citations), Biological Psychiatry (89 citations), Molecular Biology (2.2k citations), Cell Biology (298 citations) and Physiology (460 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, Sebastian Virreira Winter, Peter V. Treit and Jüergen Cox. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Molecular Systems Biology, 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.