Urs Widmer

46 papers receiving 1.7k citations

Urs Widmer's Hit Papers

Fabry disease defined: baseline clinical manifestations of 366 patients in the Fabry Outcome Survey 2004 · 601 citations
6010+7+14Years since publication200400600

Peers

Urs Widmer
Comparison fields: 5 of 101
  • Physiology 1.0k
  • Rheumatology 385
  • Cell Biology 313
  • Horticulture 15
  • Epidemiology 517
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T Orii Japan
Daniela Concolino Italy
Adriana M. Montaño United States
Ari Zimran Israel
Susan P. Perrine United States
Catherine Groden United States
Matthias Bräutigam Germany
Erik A. Eklund Sweden
Harold M. Nitowsky United States
Paul S. Yamauchi United States
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Citations per field
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Citations per year

Countries citing papers authored by Urs Widmer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Urs Widmer Line = papers co-authored together Urs Widmer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 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 →
2004601
2 1993223
3 2005175
4 200696
5 200570
6 198266
7 200656
8 199143
9 200642
10 199838
11 200736
12 198535
13 199731
14 202129
15 200525
16 200324
17 201721
18 197918
19 200417
20 198615

About Urs Widmer

Urs Widmer is a scholar working on Physiology, Surgery, Epidemiology, Cell Biology and Immunology, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Cellular transport and secretion (7 papers), Trypanosoma species research and implications (6 papers), Carbohydrate Chemistry and Synthesis (3 papers), Chemokine receptors and signaling (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Renin-Angiotensin System Studies (2 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Physiology (1.0k citations), Rheumatology (385 citations), Cell Biology (313 citations), Horticulture (15 citations) and Epidemiology (517 citations). Urs Widmer has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include Michael Beck, Gere Sunder‐Plassmann, Atul Mehta, Markus Ries, Aleš Linhart, Kirk R. Manogue, Barbara Sherry, Anthony Cerami, F. Dehout and A. García de Lorenzo. Their work appears in journals such as Acta Paediatrica, The Journal of Immunology, Cytokine, European Journal of Clinical Investigation and American Journal of Respiratory and Critical Care Medicine.

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.

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