Mario Maas

308 papers receiving 7.7k citations

Peers

Mario Maas
Comparison fields: 5 of 147
  • Orthopedics and Sports Medicine 1.5k
  • Physiology 1.9k
  • Hematology 745
  • Rheumatology 882
  • Surgery 1.7k
Replace Hiromu Ito with:
Hiromu Ito Japan
J.A. Lynch United States
B L Hazleman United Kingdom
Christopher P. Denton United Kingdom
Fredrick M. Wigley United States
Melissa A. Kacena United States
Ching‐Jen Wang Taiwan
Tomoyuki Saito Japan
Frank W. Roemer United States
Peter Mortimer United Kingdom
Mario Maas relative to Hiromu Ito Japan Hiromu Ito's profile →
Citations per field
00.5×6.4×
Hiromu Ito · 1×
Citations per year

Countries citing papers authored by Mario Maas

Since Specialization
Citations

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

Fields of papers citing papers by Mario Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 317 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003267
2 2011220
3 2004194
4 2012164
5 2010151
6 2015147
7 2008146
8 2013123
9 2004121
10 2003121
11 2018121
12 2006119
13 2014112
14 2006104
15 2017103
16 2012101
17 2007100
18 200297
19 201595
20 201493

About Mario Maas

Mario Maas is a scholar working on Orthopedics and Sports Medicine, Surgery, Rheumatology, Hematology and Physiology, having authored 317 papers that have together received 7.9k indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (40 papers), Lysosomal Storage Disorders Research (35 papers), Sports injuries and prevention (30 papers), Rheumatoid Arthritis Research and Therapies (25 papers), Foot and Ankle Surgery (23 papers), Orthopedic Surgery and Rehabilitation (20 papers), Lower Extremity Biomechanics and Pathologies (17 papers) and Diabetic Foot Ulcer Assessment and Management (17 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.5k citations), Physiology (1.9k citations), Hematology (745 citations), Rheumatology (882 citations) and Surgery (1.7k citations). Mario Maas has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Carla E. M. Hollak, Johannes M. F. G. Aerts, Aart J. Nederveen, Martijn F. Boomsma, Erik M. Akkerman, Rolf G. Boot, Robert Hemke, Gustav J. Strijkers, Martijn Froeling and J.E.M. Groener. Their work appears in journals such as European Journal of Radiology, European Radiology, Annals of the Rheumatic Diseases, Journal of Magnetic Resonance Imaging and Skeletal Radiology.

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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