Daniel Ritz
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Cancer therapeutics and mechanisms 6
- Photosynthetic Processes and Mechanisms 5
- Redox biology and oxidative stress 5
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- Clostridium difficile and Clostridium perfringens research 6
- Co-authors
- Jon Beckwith (1 shared paper)Hauke Hennecke (6 shared papers)Linda Thöny‐Meyer (4 shared papers)Jon Beckwith (3 shared papers)Urs Jenal (3 shared papers)Wolfgang Keck (5 shared papers)Felix R. Fischer (1 shared paper)Peter Künzler (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (6 papers)Antimicrobial Agents and Chemotherapy (5 papers)Molecular Microbiology (3 papers)Journal of Bacteriology (3 papers)PLoS ONE (2 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Daniel Ritz
45 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 121
- Molecular Medicine 218
- Infectious Diseases 688
- Endocrinology 148
- Modeling and Simulation 118
- Molecular Biology 1.7k
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 285 | |
| 2 | 2015 | 233 | |
| 3 | 1995 | 231 | |
| 4 | 2006 | 221 | |
| 5 | 2014 | 210 | |
| 6 | 2010 | 177 | |
| 7 | 2009 | 174 | |
| 8 | 2000 | 132 | |
| 9 | 1999 | 124 | |
| 10 | 2002 | 123 | |
| 11 | 2001 | 105 | |
| 12 | 1994 | 89 | |
| 13 | 2017 | 82 | |
| 14 | 2013 | 76 | |
| 15 | 2013 | 70 | |
| 16 | 2015 | 68 | |
| 17 | 1993 | 68 | |
| 18 | 2013 | 68 | |
| 19 | 1995 | 63 | |
| 20 | 1991 | 59 |
About Daniel Ritz
Daniel Ritz is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Ecology and Computational Theory and Mathematics, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (6 papers), Cancer therapeutics and mechanisms (6 papers), Antibiotic Resistance in Bacteria (5 papers), Photosynthetic Processes and Mechanisms (5 papers), Computational Drug Discovery Methods (5 papers), Redox biology and oxidative stress (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Legume Nitrogen Fixing Symbiosis (4 papers). The work is most often cited by research in Molecular Medicine (218 citations), Infectious Diseases (688 citations), Endocrinology (148 citations), Modeling and Simulation (118 citations) and Molecular Biology (1.7k citations). Daniel Ritz has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Jon Beckwith, Hauke Hennecke, Linda Thöny‐Meyer, Jon Beckwith, Urs Jenal, Wolfgang Keck, Felix R. Fischer, Peter Künzler, Christian Drosten and Michael Bott. Their work appears in journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy, Molecular Microbiology, Journal of Bacteriology and PLoS ONE.
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.