Danielle Southerst

59 papers receiving 1.8k citations

Peers

Danielle Southerst
Comparison fields: 5 of 81
  • Pharmacology 721
  • Complementary and Manual Therapy 46
  • Pathology and Forensic Medicine 296
  • Medical Laboratory Technology 16
  • Cell Biology 167
Replace Sharanya Varatharajan with:
Sharanya Varatharajan Canada
Jessica J. Wong Canada
Maja Stupar Canada
Carla Vanti Italy
Stephen J Burnie Canada
Kristi A. Randhawa Canada
Hainan Yu Canada
Jason M. Beneciuk United States
Alejandro Luque-Suárez Spain
Theresa Kay Canada
Danielle Southerst relative to Sharanya Varatharajan Canada Sharanya Varatharajan's profile →
Citations per field
00.5×1.5×2×2.4×
Sharanya Varatharajan · 1×
Citations per year

Countries citing papers authored by Danielle Southerst

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Southerst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016296
2 2016192
3 2022101
4 201590
5 201577
6 201972
7 201465
8 201454
9 201850
10 201446
11 201345
12 201544
13 201642
14 201441
15 201138
16 201537
17 201536
18 201534
19 201731
20 201531

About Danielle Southerst

Danielle Southerst is a scholar working on Pharmacology, Pathology and Forensic Medicine, Orthopedics and Sports Medicine, Complementary and Manual Therapy and Surgery, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (23 papers), Spine and Intervertebral Disc Pathology (8 papers), Cultural Competency in Health Care (5 papers), Tendon Structure and Treatment (4 papers), Shoulder Injury and Treatment (4 papers), Myofascial pain diagnosis and treatment (3 papers), Traumatic Brain Injury Research (2 papers) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Pharmacology (721 citations), Complementary and Manual Therapy (46 citations), Pathology and Forensic Medicine (296 citations), Medical Laboratory Technology (16 citations) and Cell Biology (167 citations). Danielle Southerst has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Pierre Côté, Heather M. Shearer, Jessica J. Wong, Silvano A Mior, Hainan Yu, Anne L. Taylor-Vaisey, Sharanya Varatharajan, Maja Stupar, Deborah A. Sutton and Kristi A. Randhawa. Their work appears in journals such as Chiropractic & Manual Therapies, Journal of Manipulative and Physiological Therapeutics, Journal of Occupational Rehabilitation, The Spine Journal and European Spine Journal.

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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