Rainer Riedl
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Protease and Inhibitor Mechanisms 12
- Oncology 10
- Peptidase Inhibition and Analysis 10
- Co-authors
- Mathieu F. Chellat (3 shared papers)Luka Raguž (2 shared papers)Thomas Fischer (13 shared papers)Albrecht Berkessel (4 shared papers)Silvia Gazzola (3 shared papers)Michael J. D. Brand (5 shared papers)Alessandra Tania Zizzari (1 shared paper)Stefano Agnello (2 shared papers)
- Journals
- Angewandte Chemie International Edition (5 papers)Molecules (3 papers)ChemMedChem (3 papers)Drug Discovery Today (3 papers)ChemistryOpen (3 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Rainer Riedl
45 papers receiving 1.2k citations
Rainer Riedl's Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Medicine 121
- Applied Microbiology and Biotechnology 29
- Microbiology 92
- Cancer Research 165
- Organic Chemistry 286
Countries citing papers authored by Rainer Riedl
This map shows the geographic impact of Rainer Riedl'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 Rainer Riedl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Riedl more than expected).
Fields of papers citing papers by Rainer Riedl
This network shows the impact of papers produced by Rainer Riedl. 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 Rainer Riedl. The network helps show where Rainer Riedl may publish in the future.
Co-authors
The 25 scholars most cited alongside Rainer Riedl, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting Antibiotic Resistance Hit paper breakdown → | 2016 | 450 |
| 2 | 2021 | 85 | |
| 3 | 2018 | 67 | |
| 4 | 2019 | 57 | |
| 5 | 2019 | 43 | |
| 6 | 2019 | 35 | |
| 7 | 2014 | 34 | |
| 8 | 2017 | 31 | |
| 9 | 2010 | 29 | |
| 10 | 2002 | 28 | |
| 11 | 1998 | 28 | |
| 12 | 2017 | 24 | |
| 13 | 2000 | 23 | |
| 14 | 2020 | 23 | |
| 15 | 2024 | 20 | |
| 16 | 2014 | 19 | |
| 17 | 2017 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2013 | 18 | |
| 20 | 1997 | 18 |
About Rainer Riedl
Rainer Riedl is a scholar working on Cancer Research, Oncology, Molecular Biology, Organic Chemistry and Pharmacology, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (12 papers), Peptidase Inhibition and Analysis (10 papers), Signaling Pathways in Disease (7 papers), Chemical Synthesis and Analysis (6 papers), Virology and Viral Diseases (6 papers), Click Chemistry and Applications (5 papers), Microbial Natural Products and Biosynthesis (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Molecular Medicine (121 citations), Applied Microbiology and Biotechnology (29 citations), Microbiology (92 citations), Cancer Research (165 citations) and Organic Chemistry (286 citations). Rainer Riedl has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Mathieu F. Chellat, Luka Raguž, Thomas Fischer, Albrecht Berkessel, Silvia Gazzola, Michael J. D. Brand, Alessandra Tania Zizzari, Stefano Agnello, Robert Tappe and Roger E. Marti. Their work appears in journals such as Angewandte Chemie International Edition, Molecules, ChemMedChem, Drug Discovery Today and ChemistryOpen.
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.