Jörg Eder
Impact in
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- Computational Drug Discovery Methods
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- NF-κB Signaling Pathways
Papers in
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- Protease and Inhibitor Mechanisms 6
- NF-κB Signaling Pathways 6
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- Protein Structure and Dynamics 7
- Polyamine Metabolism and Applications 3
- Co-authors
- Alan Roy Fersht (6 shared papers)Christian Wiesmann (2 shared papers)Richard C. Sedrani (2 shared papers)Fabien Vincent (1 shared paper)Marco Prunotto (1 shared paper)Jonathan A. Lee (1 shared paper)John G. Moffat (1 shared paper)Michael Rheinnecker (5 shared papers)
- Journals
- Biochemistry (8 papers)FEBS Letters (4 papers)Journal of Molecular Biology (4 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Trends in Pharmacological Sciences (2 papers)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Jörg Eder
55 papers receiving 3.4k citations
Jörg Eder's Hit Papers
Peers
Comparison fields: 5 of 119
- Computational Theory and Mathematics 545
- Cancer Research 389
- Molecular Biology 1.3k
- Biotechnology 120
- Immunology 320
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 55 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 | 700 |
| 2 | The discovery of first-in-class drugs: origins and evolution Hit paper breakdown → | 2014 | 398 |
| 3 | 2019 | 179 | |
| 4 | 1995 | 161 | |
| 5 | 2016 | 138 | |
| 6 | 1997 | 135 | |
| 7 | 2021 | 129 | |
| 8 | 2005 | 128 | |
| 9 | 2006 | 109 | |
| 10 | 1993 | 103 | |
| 11 | 2019 | 102 | |
| 12 | 1993 | 97 | |
| 13 | 1997 | 75 | |
| 14 | 2016 | 68 | |
| 15 | 1992 | 66 | |
| 16 | 2021 | 59 | |
| 17 | 2019 | 56 | |
| 18 | 2011 | 51 | |
| 19 | 2009 | 47 | |
| 20 | 2020 | 47 |
About Jörg Eder
Jörg Eder is a scholar working on Cancer Research, Molecular Biology, Immunology, Computational Theory and Mathematics and Genetics, having authored 55 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Protease and Inhibitor Mechanisms (6 papers), NF-κB Signaling Pathways (6 papers), Insect and Arachnid Ecology and Behavior (4 papers), Computational Drug Discovery Methods (4 papers), Complement system in diseases (4 papers), Enzyme Structure and Function (4 papers) and Polyamine Metabolism and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (545 citations), Cancer Research (389 citations), Molecular Biology (1.3k citations), Biotechnology (120 citations) and Immunology (320 citations). Jörg Eder has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Alan Roy Fersht, Christian Wiesmann, Richard C. Sedrani, Fabien Vincent, Marco Prunotto, Jonathan A. Lee, John G. Moffat, Michael Rheinnecker, Bernd Gerhartz and Bruno Martoglio. Their work appears in journals such as Biochemistry, FEBS Letters, Journal of Molecular Biology, Bioorganic & Medicinal Chemistry Letters and Trends in Pharmacological Sciences.
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.