Manuel Glaser
Impact in
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- Hepatitis C virus research
Papers in
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- Machine Learning in Bioinformatics 3
- S100 Proteins and Annexins 3
- Protein Structure and Dynamics 2
- Biochemical and Structural Characterization 2
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- Computational Drug Discovery Methods 2
- Co-authors
- Iris Antes (7 shared papers)Sonja Sievers (1 shared paper)Stephan A. Sieber (1 shared paper)Axel Pahl (1 shared paper)Markus Lakemeyer (1 shared paper)Herbert Waldmann (1 shared paper)Thomas Menzel (1 shared paper)Thomas Böttcher (1 shared paper)
- Journals
- ACS Chemical Biology (2 papers)Journal of the American Chemical Society (1 paper)Journal of Molecular Modeling (1 paper)The Journal of Physical Chemistry B (1 paper)Circulation (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Manuel Glaser
14 papers receiving 294 citations
Peers
Comparison fields: 5 of 81
- Hepatology 21
- Immunology and Allergy 16
- Emergency Medical Services 16
- Molecular Medicine 12
- Molecular Biology 155
Countries citing papers authored by Manuel Glaser
This map shows the geographic impact of Manuel Glaser'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 Manuel Glaser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Glaser more than expected).
Fields of papers citing papers by Manuel Glaser
This network shows the impact of papers produced by Manuel Glaser. 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 Manuel Glaser. The network helps show where Manuel Glaser may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Glaser, 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 | 2015 | 96 | |
| 2 | 2016 | 42 | |
| 3 | 2017 | 30 | |
| 4 | 2018 | 25 | |
| 5 | 2021 | 23 | |
| 6 | 2016 | 22 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 8 | |
| 11 | 2003 | 8 | |
| 12 | 2022 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2022 | 0 |
About Manuel Glaser
Manuel Glaser is a scholar working on Molecular Biology, Computational Theory and Mathematics, Immunology, Immunology and Allergy and Emergency Medical Services, having authored 15 papers that have together received 309 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), S100 Proteins and Annexins (3 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Biochemical and Structural Characterization (2 papers), Immune Cell Function and Interaction (2 papers), Enzyme Production and Characterization (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Hepatology (21 citations), Immunology and Allergy (16 citations), Emergency Medical Services (16 citations), Molecular Medicine (12 citations) and Molecular Biology (155 citations). Manuel Glaser has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Iris Antes, Sonja Sievers, Stephan A. Sieber, Axel Pahl, Markus Lakemeyer, Herbert Waldmann, Thomas Menzel, Thomas Böttcher, Mathias W. Hackl and Antoine Marion. Their work appears in journals such as ACS Chemical Biology, Journal of the American Chemical Society, Journal of Molecular Modeling, The Journal of Physical Chemistry B and Circulation.
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.