Daniel Ritz
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
Papers in
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- Antibiotic Resistance in Bacteria 7
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- Clostridium difficile and Clostridium perfringens research 6
- Co-authors
- Hauke Hennecke (7 shared papers)Jon Beckwith (1 shared paper)Linda Thöny‐Meyer (4 shared papers)Jon Beckwith (3 shared papers)Urs Jenal (3 shared papers)Wolfgang Keck (5 shared papers)Christian Drosten (7 shared papers)Michael H. Bott (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (8 papers)Antimicrobial Agents and Chemotherapy (5 papers)Journal of Bacteriology (3 papers)Molecular Microbiology (3 papers)PLoS Pathogens (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Daniel Ritz
49 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 122
- Molecular Medicine 271
- Infectious Diseases 811
- Endocrinology 161
- Modeling and Simulation 130
- Molecular Biology 1.8k
Countries citing papers authored by Daniel Ritz
This map shows the geographic impact of Daniel Ritz'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 Daniel Ritz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ritz more than expected).
Fields of papers citing papers by Daniel Ritz
This network shows the impact of papers produced by Daniel Ritz. 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 Daniel Ritz. The network helps show where Daniel Ritz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ritz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 295 | |
| 2 | 2015 | 268 | |
| 3 | 2006 | 238 | |
| 4 | 1995 | 232 | |
| 5 | 2014 | 226 | |
| 6 | 2010 | 183 | |
| 7 | 2009 | 178 | |
| 8 | 2013 | 173 | |
| 9 | 2000 | 141 | |
| 10 | 1999 | 131 | |
| 11 | 2002 | 129 | |
| 12 | 2001 | 109 | |
| 13 | 1994 | 92 | |
| 14 | 2017 | 88 | |
| 15 | 2013 | 85 | |
| 16 | 2013 | 73 | |
| 17 | 1993 | 73 | |
| 18 | 2015 | 73 | |
| 19 | 2013 | 71 | |
| 20 | 1991 | 69 |
About Daniel Ritz
Daniel Ritz is a scholar working on Molecular Medicine, Infectious Diseases, Molecular Biology, Pharmacology and Animal Science and Zoology, having authored 49 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (8 papers), Antibiotic Resistance in Bacteria (7 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Computational Drug Discovery Methods (5 papers), Redox biology and oxidative stress (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Legume Nitrogen Fixing Symbiosis (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). The work is most often cited by research in Molecular Medicine (271 citations), Infectious Diseases (811 citations), Endocrinology (161 citations), Modeling and Simulation (130 citations) and Molecular Biology (1.8k citations). Daniel Ritz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Hauke Hennecke, Jon Beckwith, Linda Thöny‐Meyer, Jon Beckwith, Urs Jenal, Wolfgang Keck, Christian Drosten, Michael H. Bott, Peter Künzler and Felix Raoul Fischer. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Molecular Microbiology and PLoS Pathogens.
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.