Maja Stupar

2.4k citations
37 papers · 1.1k indexed · 1 hit paper · h-index 16

Maja Stupar

37 papers receiving 1.1k citations

Hit Papers

Clinical practice guidelines for the noninvasive manageme...279201620262019202250100150200250

Peers

Maja Stupar
Comparison fields: 5 of 85
  • Pharmacology 814
  • Complementary and Manual Therapy 45
  • Pathology and Forensic Medicine 334
  • Orthopedics and Sports Medicine 105
  • Medical Terminology 3
Replace Danielle Southerst with:
Danielle Southerst Canada
Sharanya Varatharajan Canada
Kristi Randhawa Canada
Derek Clewley United States
Christopher J. McCarthy United Kingdom
Robert E. Boyles United States
Theresa Kay Canada
Ken Niere Australia
Michael Peolsson Sweden
Henrik Wulff Christensen Denmark
Maja Stupar relative to Danielle Southerst Canada Danielle Southerst's profile →
Citations per field
00.5×
Danielle Southerst · 1×
Citations per year

Countries citing papers authored by Maja Stupar

Since Specialization
Citations

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

Fields of papers citing papers by Maja Stupar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20199
3 201890
4 20184
5 20165
6 201615
7 201612
8 201569
9 20159
10 201514
11 201518
12 201530
13 201541
14 201515
15 201512
16 201447
17 201325
18 20113
19 201055
20 20032

About Maja Stupar

Maja Stupar is a scholar working on Pharmacology, Orthopedics and Sports Medicine and Pathology and Forensic Medicine, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (23 papers), Spine and Intervertebral Disc Pathology (15 papers), Shoulder Injury and Treatment (8 papers), Sports injuries and prevention (7 papers), Pregnancy-related medical research (5 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Tendon Structure and Treatment (4 papers) and Orthopedic Surgery and Rehabilitation (4 papers). The work is most often cited by research in Pharmacology (814 citations), Complementary and Manual Therapy (45 citations) and Pathology and Forensic Medicine (334 citations). Maja Stupar has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Pierre Côté, Danielle Southerst, Silvano Mior, Heather M. Shearer, Jessica J. Wong, Kristi Randhawa, Anne Taylor‐Vaisey, Hainan Yu, Sharanya Varatharajan and Deborah Sutton. Their work appears in journals such as BMC Public Health, Physical Therapy 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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