Urs Widmer
Impact in
- Physiology top 2%
- Lysosomal Storage Disorders Research
- Rheumatology top 5%
- Glycogen Storage Diseases and Myoclonus
Papers in
- Physiology 14
- Lysosomal Storage Disorders Research 14
- Surgery 10
- Co-authors
- Gere Sunder–Plassmann (9 shared papers)Michael Beck (8 shared papers)Atul Mehta (8 shared papers)Markus Ries (2 shared papers)Aleš Linhart (3 shared papers)Kirk R. Manogue (2 shared papers)Barbara Sherry (2 shared papers)Anthony Cerami (2 shared papers)
- Journals
- Acta Paediatrica (4 papers)Cytokine (2 papers)The Journal of Immunology (2 papers)European Journal of Clinical Investigation (2 papers)Circulation (1 paper)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Urs Widmer
49 papers receiving 1.8k citations
Urs Widmer's Hit Papers
Peers
Comparison fields: 5 of 108
- Physiology 1.1k
- Rheumatology 290
- Horticulture 15
- Cell Biology 235
- Epidemiology 367
Countries citing papers authored by Urs Widmer
This map shows the geographic impact of Urs Widmer'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 Urs Widmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Urs Widmer more than expected).
Fields of papers citing papers by Urs Widmer
This network shows the impact of papers produced by Urs Widmer. 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 Urs Widmer. The network helps show where Urs Widmer may publish in the future.
Co-authors
The 25 scholars most cited alongside Urs Widmer, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fabry disease defined: baseline clinical manifestations of 366 patients in the Fabry Outcome Survey Hit paper breakdown → | 2004 | 636 |
| 2 | 1993 | 233 | |
| 3 | 2005 | 207 | |
| 4 | 2006 | 101 | |
| 5 | 2005 | 81 | |
| 6 | 1982 | 70 | |
| 7 | 2006 | 59 | |
| 8 | 2006 | 49 | |
| 9 | 1991 | 45 | |
| 10 | 1998 | 45 | |
| 11 | 2007 | 41 | |
| 12 | 1985 | 39 | |
| 13 | 1997 | 37 | |
| 14 | 2003 | 30 | |
| 15 | 2021 | 29 | |
| 16 | 2005 | 26 | |
| 17 | 2017 | 21 | |
| 18 | 1986 | 21 | |
| 19 | 2004 | 17 | |
| 20 | 1979 | 16 |
About Urs Widmer
Urs Widmer is a scholar working on Physiology, Surgery, Epidemiology, Immunology and Oncology, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Cellular transport and secretion (5 papers), Trypanosoma species research and implications (3 papers), Chemokine receptors and signaling (3 papers), Aging, Elder Care, and Social Issues (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Hormonal Regulation and Hypertension (2 papers) and Hermeneutics and Narrative Identity (2 papers). The work is most often cited by research in Physiology (1.1k citations), Rheumatology (290 citations), Horticulture (15 citations), Cell Biology (235 citations) and Epidemiology (367 citations). Urs Widmer has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Gere Sunder–Plassmann, Michael Beck, Atul Mehta, Markus Ries, Aleš Linhart, Kirk R. Manogue, Barbara Sherry, Anthony Cerami, A. García de Lorenzo and F. Dehout. Their work appears in journals such as Acta Paediatrica, Cytokine, The Journal of Immunology, European Journal of Clinical Investigation and Circulation.
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.