Hans Thorn
Impact in
- Cell Biology top 2%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer
- Lipid Membrane Structure and Behavior
- Ion Transport and Channel Regulation
Papers in
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- Metabolism, Diabetes, and Cancer 5
- Ion Transport and Channel Regulation 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Glycosylation and Glycoproteins Research 1
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- Caveolin-1 and cellular processes 7
- Co-authors
- Peter Strålfors (7 shared papers)Margareta Karlsson (6 shared papers)Santiago Parpal (3 shared papers)Johanna Gustavsson (5 shared papers)Karl‐Eric Magnusson (1 shared paper)Karin G. Stenkula (4 shared papers)Fredrik H. Nyström (4 shared papers)Margaretha Lindroth (1 shared paper)
- Journals
- The FASEB Journal (2 papers)Biochemical and Biophysical Research Communications (1 paper)Molecular Biology of the Cell (1 paper)Journal of Biological Chemistry (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- SwedenUnited StatesGermany
In The Last Decade
Hans Thorn
9 papers receiving 910 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 555
- Molecular Biology 646
- Physiology 208
- Cardiology and Cardiovascular Medicine 165
- Biochemistry 57
Countries citing papers authored by Hans Thorn
This map shows the geographic impact of Hans Thorn'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 Thorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Thorn more than expected).
Fields of papers citing papers by Hans Thorn
This network shows the impact of papers produced by Hans Thorn. 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 Thorn. The network helps show where Hans Thorn may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Thorn, 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 | 1999 | 300 | |
| 2 | 2001 | 280 | |
| 3 | 2003 | 121 | |
| 4 | 2004 | 82 | |
| 5 | 2001 | 82 | |
| 6 | 2010 | 34 | |
| 7 | 1954 | 20 | |
| 8 | 2004 | 13 | |
| 9 | 2007 | 10 |
About Hans Thorn
Hans Thorn is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Physiology and Surgery, having authored 9 papers that have together received 942 indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Erythrocyte Function and Pathophysiology (2 papers), Ion Transport and Channel Regulation (2 papers), Lipid metabolism and disorders (2 papers), Microbial Inactivation Methods (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (555 citations), Molecular Biology (646 citations), Physiology (208 citations), Cardiology and Cardiovascular Medicine (165 citations) and Biochemistry (57 citations). Hans Thorn has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Peter Strålfors, Margareta Karlsson, Santiago Parpal, Johanna Gustavsson, Karl‐Eric Magnusson, Karin G. Stenkula, Fredrik H. Nyström, Margaretha Lindroth, Kajsa Holmgren Peterson and Unn Örtegren. Their work appears in journals such as The FASEB Journal, Biochemical and Biophysical Research Communications, Molecular Biology of the Cell, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.