Daniel Ritz

44 papers and 2.9k indexed citations i.

About

Daniel Ritz is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Daniel Ritz has authored 44 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Infectious Diseases and 8 papers in Pharmacology. Recurrent topics in Daniel Ritz’s work include Antibiotic Resistance in Bacteria (6 papers), Cancer therapeutics and mechanisms (6 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). Daniel Ritz is often cited by papers focused on Antibiotic Resistance in Bacteria (6 papers), Cancer therapeutics and mechanisms (6 papers) and Clostridium difficile and Clostridium perfringens research (6 papers). Daniel Ritz collaborates with scholars based in Switzerland, Germany and United States. Daniel Ritz's co-authors include Jon Beckwith, Hauke Hennecke, Linda Thöny‐Meyer, Jon Beckwith, Urs Jenal, Wolfgang Keck, Peter Künzler, Felix R. Fischer, Christian Drosten and Michael Bott and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of Daniel Ritz i

Fields of papers citing papers by Daniel Ritz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Daniel Ritz

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025