Jonas Uppenberg
Impact in
- Molecular Biology top 5%
- Enzyme Catalysis and Immobilization
- Peroxisome Proliferator-Activated Receptors
- Protein Structure and Dynamics
- Biotechnology top 5%
- Enzyme Production and Characterization
Papers in
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- Computational Drug Discovery Methods 4
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- Peroxisome Proliferator-Activated Receptors 8
- Ubiquitin and proteasome pathways 1
- Enzyme Catalysis and Immobilization 1
- Co-authors
- Shamkant Anant Patkar (3 shared papers)Mogens Trier Hansen (1 shared paper)Lena Jendeberg (5 shared papers)Viggo Waagen (1 shared paper)Niklas Öhrner (1 shared paper)Gerard J. Kleywegt (1 shared paper)Martin Norin (1 shared paper)Karl Hult (1 shared paper)
In The Last Decade
Jonas Uppenberg
18 papers receiving 2.2k citations
Jonas Uppenberg's Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.7k
- Biotechnology 130
- Computational Theory and Mathematics 158
- Catalysis 41
- Organic Chemistry 238
Countries citing papers authored by Jonas Uppenberg
This map shows the geographic impact of Jonas Uppenberg'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 Jonas Uppenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Uppenberg more than expected).
Fields of papers citing papers by Jonas Uppenberg
This network shows the impact of papers produced by Jonas Uppenberg. 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 Jonas Uppenberg. The network helps show where Jonas Uppenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Uppenberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The sequence, crystal structure determination and refinement of two crystal forms of lipase B from Candida antarctica Hit paper breakdown → | 1994 | 807 |
| 2 | 1995 | 456 | |
| 3 | 1998 | 225 | |
| 4 | 2001 | 120 | |
| 5 | 1994 | 103 | |
| 6 | 2009 | 97 | |
| 7 | 2004 | 71 | |
| 8 | 2004 | 68 | |
| 9 | 2010 | 60 | |
| 10 | 2004 | 58 | |
| 11 | 2002 | 54 | |
| 12 | 2002 | 52 | |
| 13 | 2002 | 39 | |
| 14 | 2002 | 37 | |
| 15 | 2008 | 31 | |
| 16 | 2002 | 18 | |
| 17 | 1997 | 4 | |
| 18 | 1999 | 2 |
About Jonas Uppenberg
Jonas Uppenberg is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Organic Chemistry and Biochemistry, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (8 papers), Enzyme Structure and Function (5 papers), Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (3 papers), Pharmacogenetics and Drug Metabolism (1 paper), Ubiquitin and proteasome pathways (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Molecular Biology (1.7k citations), Biotechnology (130 citations), Computational Theory and Mathematics (158 citations), Catalysis (41 citations) and Organic Chemistry (238 citations). Jonas Uppenberg has collaborated with scholars based in Sweden, France and Australia. Frequent co-authors include Shamkant Anant Patkar, Mogens Trier Hansen, Lena Jendeberg, Viggo Waagen, Niklas Öhrner, Gerard J. Kleywegt, Martin Norin, Karl Hult, THORLEIF ANTHONSEN and Anders L. Berkenstam. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of the American Chemical Society, Structure, Journal of Molecular Biology and Journal of Biological Chemistry.
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.