Henry Webel
Impact in
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Liver Disease and Transplantation
Papers in
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- Metabolomics and Mass Spectrometry Studies 3
- Machine Learning in Bioinformatics 2
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 2
- Co-authors
- Simon Rasmussen (6 shared papers)Lili Niu (3 shared papers)Matthias Mann (3 shared papers)Maximilian T. Strauss (1 shared paper)Suganya Jacobsen (1 shared paper)Rajat Gupta (1 shared paper)Aleksander Krag (1 shared paper)Katrine Prier Lindvig (1 shared paper)
- Journals
- Nature Communications (2 papers)Nature Medicine (1 paper)Journal of Proteomics (1 paper)Scientific Data (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Henry Webel
8 papers receiving 271 citations
Henry Webel's Hit Papers
Peers
Comparison fields: 5 of 68
- Spectroscopy 66
- Hepatology 25
- Health Informatics 4
- Computational Theory and Mathematics 44
- Pathology and Forensic Medicine 32
Countries citing papers authored by Henry Webel
This map shows the geographic impact of Henry Webel'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 Henry Webel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Webel more than expected).
Fields of papers citing papers by Henry Webel
This network shows the impact of papers produced by Henry Webel. 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 Henry Webel. The network helps show where Henry Webel may publish in the future.
Co-authors
The 25 scholars most cited alongside Henry Webel, 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 | Noninvasive proteomic biomarkers for alcohol-related liver disease Hit paper breakdown → | 2022 | 174 |
| 2 | 2020 | 45 | |
| 3 | 2024 | 22 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 7 | |
| 7 | 2024 | 6 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 0 | |
| 10 | 2026 | 0 |
About Henry Webel
Henry Webel is a scholar working on Molecular Biology, Spectroscopy, Epidemiology, Pathology and Forensic Medicine and Ecology, having authored 10 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Machine Learning in Bioinformatics (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Hepatitis Viruses Studies and Epidemiology (1 paper), Liver Disease and Transplantation (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Spectroscopy (66 citations), Hepatology (25 citations), Health Informatics (4 citations), Computational Theory and Mathematics (44 citations) and Pathology and Forensic Medicine (32 citations). Henry Webel has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Simon Rasmussen, Lili Niu, Matthias Mann, Maximilian T. Strauss, Suganya Jacobsen, Rajat Gupta, Aleksander Krag, Katrine Prier Lindvig, Maria Kjærgaard and Alberto Santos. Their work appears in journals such as Nature Communications, Nature Medicine, Journal of Proteomics, Scientific Data and Molecular & Cellular 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.