Rainer Riedl
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Signaling Pathways in Disease 7
- Chemical Synthesis and Analysis 5
-
- Protease and Inhibitor Mechanisms 13
- Co-authors
- Mathieu F. Chellat (6 shared papers)Luka Raguž (3 shared papers)Albrecht Berkessel (4 shared papers)Silvia Gazzola (4 shared papers)Michael Brand (6 shared papers)Alessandra Zizzari (1 shared paper)Stefano Agnello (3 shared papers)Robert Tappe (1 shared paper)
- Journals
- Angewandte Chemie International Edition (5 papers)ChemistryOpen (3 papers)CHIMIA International Journal for Chemistry (3 papers)ChemMedChem (3 papers)Molecules (3 papers)
- Partner nations
- SwitzerlandUnited StatesAustria
In The Last Decade
Rainer Riedl
47 papers receiving 1.2k citations
Rainer Riedl's Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Medicine 113
- Applied Microbiology and Biotechnology 29
- Microbiology 86
- Cancer Research 166
- Organic Chemistry 267
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting Antibiotic Resistance Hit paper breakdown → | 2016 | 402 |
| 2 | 2021 | 80 | |
| 3 | 2018 | 59 | |
| 4 | 2019 | 56 | |
| 5 | 2019 | 42 | |
| 6 | 2016 | 35 | |
| 7 | 2019 | 33 | |
| 8 | 2014 | 32 | |
| 9 | 2010 | 28 | |
| 10 | 1998 | 28 | |
| 11 | 2002 | 27 | |
| 12 | 2017 | 26 | |
| 13 | 2017 | 24 | |
| 14 | 2000 | 23 | |
| 15 | 2020 | 21 | |
| 16 | 2017 | 19 | |
| 17 | 2014 | 19 | |
| 18 | 2013 | 18 | |
| 19 | 1997 | 18 | |
| 20 | 2016 | 15 |
About Rainer Riedl
Rainer Riedl is a scholar working on Molecular Biology, Cancer Research, Oncology, Organic Chemistry and Epidemiology, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (13 papers), Peptidase Inhibition and Analysis (11 papers), Signaling Pathways in Disease (7 papers), Click Chemistry and Applications (5 papers), Virology and Viral Diseases (5 papers), Chemical Synthesis and Analysis (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Molecular Medicine (113 citations), Applied Microbiology and Biotechnology (29 citations), Microbiology (86 citations), Cancer Research (166 citations) and Organic Chemistry (267 citations). Rainer Riedl has collaborated with scholars based in Switzerland, United States and Austria. Frequent co-authors include Mathieu F. Chellat, Luka Raguž, Albrecht Berkessel, Silvia Gazzola, Michael Brand, Alessandra Zizzari, Stefano Agnello, Robert Tappe, Roger Martí and Martin Sievers. Their work appears in journals such as Angewandte Chemie International Edition, ChemistryOpen, CHIMIA International Journal for Chemistry, ChemMedChem and Molecules.
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.