Markus Ries

5.8k total citations · 1 hit paper
104 papers, 4.0k citations indexed

About

Markus Ries is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Markus Ries has authored 104 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Physiology, 20 papers in Molecular Biology and 20 papers in Epidemiology. Recurrent topics in Markus Ries's work include Lysosomal Storage Disorders Research (56 papers), Trypanosoma species research and implications (18 papers) and Carbohydrate Chemistry and Synthesis (15 papers). Markus Ries is often cited by papers focused on Lysosomal Storage Disorders Research (56 papers), Trypanosoma species research and implications (18 papers) and Carbohydrate Chemistry and Synthesis (15 papers). Markus Ries collaborates with scholars based in Germany, United States and Canada. Markus Ries's co-authors include Raphael Schiffmann, Michael Beck, Andreas Gal, Catharina Whybra, Atul Mehta, Roscoe O. Brady, Gere Sunder‐Plassmann, Margaret Timmons, Georg F. Hoffmann and Aleš Linhart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of the American College of Cardiology.

In The Last Decade

Markus Ries

98 papers receiving 3.9k citations

Hit Papers

Fabry disease defined: baseline clinical manifestations o... 2004 2026 2011 2018 2004 200 400 600

Peers

Markus Ries
Comparison fields: 5 of 117
  • Physiology 3.3k
  • Epidemiology 1.5k
  • Rheumatology 1.1k
  • Cell Biology 947
  • Organic Chemistry 914
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Uma Ramaswami United Kingdom View profile →
Citations per field, relative to Markus Ries
Markus Ries · 1×
Citations per year, relative to Markus Ries
Markus Ries · 1×

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-authorship network of co-authors of Markus Ries

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Ries. A scholar is included among the top collaborators of Markus Ries based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Ries. Markus Ries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 2
6 9
7 9
8 23
9 18
10 16
11 27
12 3
13
Qualitätsmanagement in der Notaufnahme: Fehlende einheitliche Standards zur kennzahlenbasierten Steuerung
1
14 47
15 9
16 9
17 49
18 119
19 10
20 7

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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