Steve A. Maas

3.6k citations
63 papers · 2.7k indexed · 1 hit paper · h-index 21

Steve A. Maas

60 papers receiving 2.6k citations

Hit Papers

FEBio: Finite Elements for Biomechanics8292012202620162021250500750

Peers

Steve A. Maas
Comparison fields: 5 of 134
  • Orthopedics and Sports Medicine 329
  • Surgery 1.2k
  • Biomedical Engineering 992
  • Rheumatology 259
  • Cell Biology 266
Replace Benjamin J. Ellis with:
Benjamin J. Ellis United States
Marcelo Epstein Canada
Estefanía Peña Spain
Mansoor A. Haider United States
Edoardo Mazza Switzerland
B. R. Simon United States
Patrick McGarry Ireland
Peter F. Niederer Switzerland
Spencer P. Lake United States
Christian M. Puttlitz United States
Steve A. Maas relative to Benjamin J. Ellis United States Benjamin J. Ellis's profile →
Citations per field
00.5×1.5×
Benjamin J. Ellis · 1×
Citations per year

Countries citing papers authored by Steve A. Maas

Since Specialization
Citations

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

Fields of papers citing papers by Steve A. Maas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20236
5 202313
6 20236
7 20231
8 20233
9 20222
10 201815
11 201647
12 201350
13 20137
14 2013116
15 201343
16 2010107
17 200893
18 200712
19 200618
20
Fixing the curtice FET model
20024

About Steve A. Maas

Steve A. Maas is a scholar working on Cell Biology, Orthopedics and Sports Medicine and Biomedical Engineering, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Elasticity and Material Modeling (20 papers), Orthopaedic implants and arthroplasty (15 papers), Cellular Mechanics and Interactions (13 papers), Hip disorders and treatments (10 papers), Tendon Structure and Treatment (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Total Knee Arthroplasty Outcomes (6 papers) and Contact Mechanics and Variational Inequalities (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (329 citations), Surgery (1.2k citations) and Biomedical Engineering (992 citations). Steve A. Maas has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Jeffrey A. Weiss, Benjamin J. Ellis, Gerard A. Ateshian, José C. Pedro, Andrew E. Anderson, Christopher L. Peters, Shawn P. Reese, Christine L. Abraham, Corinne R. Henak and Laxminarayanan Krishnan. Their work appears in journals such as Biophysical Journal, Journal of Biomechanics and Acta Biomaterialia.

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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