Stephan Menz
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Degradation and Inhibitors 2
- Metabolism, Diabetes, and Cancer 1
-
- HIV/AIDS Research and Interventions 3
- HIV/AIDS drug development and treatment 3
- Co-authors
- Wilhelm Huisinga (5 shared papers)Max von Kleist (2 shared papers)Andreas H. Göller (3 shared papers)Sebastian Schneckener (3 shared papers)Christof Schütte (2 shared papers)Jessica Hey (1 shared paper)Alexander Hillisch (1 shared paper)Steffen Schaper (1 shared paper)
- Journals
- Cancer Research (3 papers)PLoS Computational Biology (2 papers)Journal of Pharmaceutical Sciences (1 paper)Ecography (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- GermanySwitzerlandIreland
In The Last Decade
Stephan Menz
14 papers receiving 251 citations
Peers
Comparison fields: 5 of 77
- Virology 44
- Computational Theory and Mathematics 89
- Pharmacology 32
- Infectious Diseases 45
- Modeling and Simulation 11
Countries citing papers authored by Stephan Menz
This map shows the geographic impact of Stephan Menz'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 Stephan Menz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Menz more than expected).
Fields of papers citing papers by Stephan Menz
This network shows the impact of papers produced by Stephan Menz. 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 Stephan Menz. The network helps show where Stephan Menz may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Menz, 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 | 2019 | 65 | |
| 2 | 2018 | 59 | |
| 3 | 2010 | 30 | |
| 4 | 2012 | 27 | |
| 5 | 2011 | 24 | |
| 6 | 2014 | 18 | |
| 7 | 2023 | 14 | |
| 8 | 2024 | 8 | |
| 9 | 2022 | 4 | |
| 10 | 2017 | 3 | |
| 11 | 2014 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2016 | 1 | |
| 14 | 2015 | 1 |
About Stephan Menz
Stephan Menz is a scholar working on Molecular Biology, Infectious Diseases, Virology, Computational Theory and Mathematics and Spectroscopy, having authored 14 papers that have together received 256 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), Computational Drug Discovery Methods (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV/AIDS drug development and treatment (3 papers), Protein Degradation and Inhibitors (2 papers), Analytical Chemistry and Chromatography (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Virology (44 citations), Computational Theory and Mathematics (89 citations), Pharmacology (32 citations), Infectious Diseases (45 citations) and Modeling and Simulation (11 citations). Stephan Menz has collaborated with scholars based in Germany, Switzerland and Ireland. Frequent co-authors include Wilhelm Huisinga, Max von Kleist, Andreas H. Göller, Sebastian Schneckener, Christof Schütte, Jessica Hey, Alexander Hillisch, Steffen Schaper, Sergio Grimbs and Benedict‐Tilman Berger. Their work appears in journals such as Cancer Research, PLoS Computational Biology, Journal of Pharmaceutical Sciences, Ecography and ACS Medicinal Chemistry Letters.
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.