Markus Theurl

2.5k citations
47 papers · 1.2k · h-index 19

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders
    • Chronic Lymphocytic Leukemia Research

Papers in

Markus Theurl

47 papers receiving 1.2k citations

Peers

Markus Theurl
Comparison fields: 5 of 101
  • Hematology 198
  • Genetics 104
  • Cardiology and Cardiovascular Medicine 164
  • Orthopedics and Sports Medicine 61
  • Cellular and Molecular Neuroscience 137
Replace Hang Li with:
Hang Li China
Shinichiro Yamada Japan
Yu‐Wen Su China
R.A.D. Bunning United Kingdom
Linda Taylor United States
Sang-Ok Moon South Korea
Helen A. Bull United Kingdom
Fumihiro Sanada Japan
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W. Andrew Owens United Kingdom
Markus Theurl relative to Hang Li China Hang Li's profile →
Citations per field
00.5×3.7×
Hang Li · 1×
Citations per year

Countries citing papers authored by Markus Theurl

Since Specialization
Citations

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

Fields of papers citing papers by Markus Theurl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017107
2 201292
3 201081
4 201380
5 200875
6 201760
7 200759
8 201158
9 201445
10 201744
11 201343
12 201639
13 201831
14 201429
15 201429
16 201725
17 201421
18 201320
19 201819
20 201818

About Markus Theurl

Markus Theurl is a scholar working on Molecular Biology, Hematology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Genetics, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (4 papers), Tendon Structure and Treatment (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Neuropeptides and Animal Physiology (3 papers), Nerve injury and regeneration (2 papers), Iron Metabolism and Disorders (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Hematology (198 citations), Genetics (104 citations), Cardiology and Cardiovascular Medicine (164 citations), Orthopedics and Sports Medicine (61 citations) and Cellular and Molecular Neuroscience (137 citations). Markus Theurl has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Rudolf Kirchmair, Wilfried Schgoer, Karin Albrecht-Schgoer, Arno Beer, Daniela Lener, Johannes Holfeld, Michael Grimm, Can Gollmann‐Tepeköylü, Josef R. Patsch and Margot Egger. Their work appears in journals such as PLoS ONE, Journal of Clinical Medicine, The FASEB Journal, Blood and Trials.

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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