Hans Jörnvall
- Microbiology top 0.05%
- Antimicrobial Peptides and Activities 33
- Molecular Biology top 0.1%
- Protein Structure and Dynamics 45
- Biochemistry top 0.05%
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 37
- Cell Biology top 0.1%
- Aldose Reductase and Taurine 32
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- Enzyme Structure and Function 68
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- Alcohol Consumption and Health Effects 67
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- Pancreatic function and diabetes 46
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- Mass Spectrometry Techniques and Applications 44
- Co-authors
- Bengt PerssonViktor MuttTomas BergmanJan JohanssonUdo OppermannKazuhiko TatemotoJonathan JefferyTore Curstedt
- Journals
- Nature (3 papers)Proceedings of the National Academy of Sciences (38 papers)Journal of Biological Chemistry (36 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Hans Jörnvall
541 papers receiving 29.8k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Microbiology 2.3k
- Molecular Biology 17.6k
- Biochemistry 1.8k
- Cellular and Molecular Neuroscience 4.4k
- Cell Biology 3.2k
Countries citing papers authored by Hans Jörnvall
This map shows the geographic impact of Hans Jörnvall'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 Hans Jörnvall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Jörnvall more than expected).
Fields of papers citing papers by Hans Jörnvall
This network shows the impact of papers produced by Hans Jörnvall. 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 Hans Jörnvall. The network helps show where Hans Jörnvall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hans Jörnvall, 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 | 2019 | 20 | |
| 2 | 2015 | 31 | |
| 3 | Sequential Ph-Driven Dimerization and Stabilization of the N-Terminal Domain Enables Rapid Spider Silk Formation | 2014 | 1 |
| 4 | 2011 | 2 | |
| 5 | 2004 | 51 | |
| 6 | 2001 | 12 | |
| 7 | 2000 | 63 | |
| 8 | 1999 | 144 | |
| 9 | Implementing the Boyer-Moore Algorithm. | 1998 | 1 |
| 10 | 1993 | 26 | |
| 11 | 1993 | 5 | |
| 12 | 1992 | 4 | |
| 13 | 1992 | 128 | |
| 14 | 1991 | 33 | |
| 15 | 1991 | 18 | |
| 16 | 1988 | 86 | |
| 17 | 1987 | 252 | |
| 18 | 1984 | 65 | |
| 19 | 1983 | 129 | |
| 20 | 1980 | 6 |
About Hans Jörnvall
Hans Jörnvall is a scholar working on Cell Biology, Microbiology and Clinical Biochemistry, having authored 542 papers that have together received 31.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (68 papers), Alcohol Consumption and Health Effects (67 papers), Pancreatic function and diabetes (46 papers), Protein Structure and Dynamics (45 papers), Mass Spectrometry Techniques and Applications (44 papers), Neuropeptides and Animal Physiology (37 papers), Antimicrobial Peptides and Activities (33 papers) and Aldose Reductase and Taurine (32 papers). The work is most often cited by research in Microbiology (2.3k citations), Molecular Biology (17.6k citations) and Biochemistry (1.8k citations). Hans Jörnvall has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Bengt Persson, Viktor Mutt, Tomas Bergman, Jan Johansson, Udo Oppermann, Kazuhiko Tatemoto, Jonathan Jeffery, Tore Curstedt, Birgitta Agerberth and Hedvig von Bahr‐Lindström. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.