Stefan Ganscha
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Gene Regulatory Network Analysis 3
- Bioinformatics and Genomic Networks 2
- Single-cell and spatial transcriptomics 2
- Protein Structure and Dynamics 2
- Pluripotent Stem Cells Research 1
- Co-authors
- Manfred Claassen (4 shared papers)Valentina Cappelletti (1 shared paper)Christian von Mering (1 shared paper)Abdullah Kahraman (1 shared paper)Paul J. Boersema (1 shared paper)Oliver T. Unke (2 shared papers)Klaus- Robert Müller (2 shared papers)Thomas Unterthiner (1 shared paper)
- Journals
- PLoS Computational Biology (1 paper)The Journal of Chemical Physics (1 paper)Science (1 paper)Molecular Systems Biology (1 paper)Science Advances (1 paper)
- Partner nations
- SwitzerlandGermanyLuxembourg
In The Last Decade
Stefan Ganscha
6 papers receiving 457 citations
Stefan Ganscha's Hit Papers
Peers
Comparison fields: 5 of 89
- Spectroscopy 86
- Aging 8
- Molecular Biology 295
- Materials Chemistry 117
- Biophysics 14
Countries citing papers authored by Stefan Ganscha
This map shows the geographic impact of Stefan Ganscha'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 Stefan Ganscha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Ganscha more than expected).
Fields of papers citing papers by Stefan Ganscha
This network shows the impact of papers produced by Stefan Ganscha. 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 Stefan Ganscha. The network helps show where Stefan Ganscha may publish in the future.
Co-authors
The 23 scholars most cited alongside Stefan Ganscha, 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 | 2017 | 328 | |
| 2 | Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments Hit paper breakdown → | 2024 | 89 |
| 3 | 2016 | 25 | |
| 4 | 2016 | 17 | |
| 5 | 2019 | 4 | |
| 6 | 2026 | 2 |
About Stefan Ganscha
Stefan Ganscha is a scholar working on Structural Biology, Molecular Biology, Materials Chemistry, Cell Biology and Computational Theory and Mathematics, having authored 6 papers that have together received 465 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (2 papers), Machine Learning in Materials Science (2 papers), Single-cell and spatial transcriptomics (2 papers), Protein Structure and Dynamics (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Computational Drug Discovery Methods (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Spectroscopy (86 citations), Aging (8 citations), Molecular Biology (295 citations), Materials Chemistry (117 citations) and Biophysics (14 citations). Stefan Ganscha has collaborated with scholars based in Switzerland, Germany and Luxembourg. Frequent co-authors include Manfred Claassen, Valentina Cappelletti, Christian von Mering, Abdullah Kahraman, Paul J. Boersema, Oliver T. Unke, Klaus- Robert Müller, Thomas Unterthiner, Leonardo Medrano Sandonas and Joshua T. Berryman. Their work appears in journals such as PLoS Computational Biology, The Journal of Chemical Physics, Science, Molecular Systems Biology and Science Advances.
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.