Christian Studer
Impact in
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- Computational Drug Discovery Methods
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- Fungal and yeast genetics research
- PI3K/AKT/mTOR signaling in cancer
- RNA and protein synthesis mechanisms
- Phytochemical compounds biological activities
Papers in
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- Fungal and yeast genetics research 2
- Protein Degradation and Inhibitors 1
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- Primary Care and Health Outcomes 2
- Co-authors
- Dominic Hoepfner (9 shared papers)Stephen B. Helliwell (4 shared papers)N. Rao Movva (4 shared papers)Jianshi Tao (4 shared papers)Thomas Aust (4 shared papers)Ralph Riedl (4 shared papers)Ireos Filipuzzi (3 shared papers)Silvio Roggo (3 shared papers)
- Journals
- ACS Chemical Biology (2 papers)European Journal of General Practice (1 paper)PLoS Genetics (1 paper)Nature Communications (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Christian Studer
10 papers receiving 417 citations
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 72
- Molecular Biology 274
- Pharmacology 63
- Infectious Diseases 51
- Immunology 51
Countries citing papers authored by Christian Studer
This map shows the geographic impact of Christian Studer'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 Christian Studer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Studer more than expected).
Fields of papers citing papers by Christian Studer
This network shows the impact of papers produced by Christian Studer. 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 Christian Studer. The network helps show where Christian Studer may publish in the future.
Co-authors
The 25 scholars most cited alongside Christian Studer, 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 | 104 | |
| 2 | 2013 | 88 | |
| 3 | 2013 | 66 | |
| 4 | 2001 | 40 | |
| 5 | 2013 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2016 | 21 | |
| 8 | 2019 | 17 | |
| 9 | 2018 | 13 | |
| 10 | 2017 | 7 | |
| 11 | 2023 | 0 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 0 |
About Christian Studer
Christian Studer is a scholar working on Molecular Biology, General Health Professions, Infectious Diseases, Organic Chemistry and Epidemiology, having authored 13 papers that have together received 423 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (2 papers), Antifungal resistance and susceptibility (2 papers), Click Chemistry and Applications (2 papers), Primary Care and Health Outcomes (2 papers), Antimicrobial Peptides and Activities (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Plant Pathogens and Fungal Diseases (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Computational Theory and Mathematics (72 citations), Molecular Biology (274 citations), Pharmacology (63 citations), Infectious Diseases (51 citations) and Immunology (51 citations). Christian Studer has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Dominic Hoepfner, Stephen B. Helliwell, N. Rao Movva, Jianshi Tao, Thomas Aust, Ralph Riedl, Ireos Filipuzzi, Silvio Roggo, Sven Schuierer and Ute Manning. Their work appears in journals such as ACS Chemical Biology, European Journal of General Practice, PLoS Genetics, Nature Communications and Antimicrobial Agents and Chemotherapy.
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.