Markus Ries

100 papers receiving 4.0k citations

Markus Ries's Hit Papers

Fabry disease defined: baseline clinical manifestations of 366 patients in the Fabry Outcome Survey 2004 · 609 citations
6090+7+14Years since publication200400600

Peers

Markus Ries
Comparison fields: 5 of 114
  • Physiology 3.3k
  • Rheumatology 759
  • Cell Biology 722
  • Epidemiology 1.0k
  • Organic Chemistry 641
Replace Stephen Waldek with:
Stephen Waldek United Kingdom
Uma Ramaswami United Kingdom
Gabor E. Linthorst Netherlands
Guillem Pintos‐Morell Spain
Melissa Wasserstein United States
Sandra Sirrs Canada
Vardiella Meiner Israel
Jane Yu United States
Tanya B. Dorff United States
T Haas Czechia
Markus Ries relative to Stephen Waldek United Kingdom Stephen Waldek's profile →
Citations per field
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Citations per year

Countries citing papers authored by Markus Ries

Since Specialization
Citations

This map shows the geographic impact of Markus Ries'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 Markus Ries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Ries more than expected).

Fields of papers citing papers by Markus Ries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Ries. 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 Markus Ries. The network helps show where Markus Ries may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Ries, 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 Markus Ries Line = papers co-authored together Markus Ries links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 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 →
2004609
2 2004220
3 2005210
4 2009207
5 2008178
6 2003165
7 2005155
8 2002150
9 2009121
10 2006121
11 2007102
12 200596
13 200684
14 200678
15 200576
16 200573
17 200672
18 200754
19 200653
20 201049

About Markus Ries

Markus Ries is a scholar working on Physiology, Molecular Biology, Epidemiology, Organic Chemistry and Public Health, Environmental and Occupational Health, having authored 105 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (54 papers), Trypanosoma species research and implications (10 papers), Carbohydrate Chemistry and Synthesis (7 papers), Disaster Response and Management (6 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Biomedical Research and Pathophysiology (5 papers), Cellular transport and secretion (4 papers) and Clinical practice guidelines implementation (3 papers). The work is most often cited by research in Physiology (3.3k citations), Rheumatology (759 citations), Cell Biology (722 citations), Epidemiology (1.0k citations) and Organic Chemistry (641 citations). Markus Ries has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Raphael Schiffmann, Michael Beck, Andreas Gal, Atul Mehta, Catharina Whybra, Roscoe O. Brady, Gere Sunder–Plassmann, Margaret Timmons, Georg F. Hoffmann and Aleš Linhart. Their work appears in journals such as PLoS ONE, Genetics in Medicine, Journal of Inherited Metabolic Disease, Orphanet Journal of Rare Diseases and BMJ Open.

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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