Jörg Eder
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
Papers in
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- Protein Structure and Dynamics 3
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- Immune Response and Inflammation 4
- Co-authors
- Alan R. Fersht (5 shared papers)Christian Wiesmann (2 shared papers)Richard Sedrani (2 shared papers)John G. Moffat (1 shared paper)Fabien Vincent (1 shared paper)Jonathan A. Lee (1 shared paper)Marco Prunotto (1 shared paper)Michael Rheinnecker (4 shared papers)
- Journals
- FEBS Letters (4 papers)Journal of Molecular Biology (4 papers)Biochemistry (3 papers)Trends in Pharmacological Sciences (2 papers)Nature Reviews Drug Discovery (2 papers)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Jörg Eder
40 papers receiving 2.4k citations
Jörg Eder's Hit Papers
Peers
Comparison fields: 5 of 128
- Computational Theory and Mathematics 367
- Molecular Biology 1.5k
- Biotechnology 152
- Cancer Research 257
- Biophysics 97
Countries citing papers authored by Jörg Eder
This map shows the geographic impact of Jörg Eder'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 Jörg Eder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Eder more than expected).
Fields of papers citing papers by Jörg Eder
This network shows the impact of papers produced by Jörg Eder. 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 Jörg Eder. The network helps show where Jörg Eder may publish in the future.
Co-authors
The 25 scholars most cited alongside Jörg Eder, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Opportunities and challenges in phenotypic drug discovery: an industry perspective Hit paper breakdown → | 2017 | 571 |
| 2 | The discovery of first-in-class drugs: origins and evolution Hit paper breakdown → | 2014 | 328 |
| 3 | 1995 | 158 | |
| 4 | 1997 | 130 | |
| 5 | 2016 | 125 | |
| 6 | 2005 | 121 | |
| 7 | 1993 | 106 | |
| 8 | 2021 | 101 | |
| 9 | 1993 | 96 | |
| 10 | 2006 | 91 | |
| 11 | 1997 | 72 | |
| 12 | 2011 | 47 | |
| 13 | 1993 | 44 | |
| 14 | 1999 | 41 | |
| 15 | 1980 | 37 | |
| 16 | 2005 | 36 | |
| 17 | 1993 | 35 | |
| 18 | 2015 | 29 | |
| 19 | 2004 | 26 | |
| 20 | 2009 | 26 |
About Jörg Eder
Jörg Eder is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Biotechnology, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Enzyme Production and Characterization (4 papers), Immune Response and Inflammation (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Enzyme Structure and Function (4 papers), Protein Structure and Dynamics (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). The work is most often cited by research in Computational Theory and Mathematics (367 citations), Molecular Biology (1.5k citations), Biotechnology (152 citations), Cancer Research (257 citations) and Biophysics (97 citations). Jörg Eder has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Alan R. Fersht, Christian Wiesmann, Richard Sedrani, John G. Moffat, Fabien Vincent, Jonathan A. Lee, Marco Prunotto, Michael Rheinnecker, Bernd Gerhartz and Bruno Martoglio. Their work appears in journals such as FEBS Letters, Journal of Molecular Biology, Biochemistry, Trends in Pharmacological Sciences and Nature Reviews Drug Discovery.
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.