Jared Williamson

598 total citations
7 papers, 261 citations indexed

About

Jared Williamson is a scholar working on Pharmacology, Orthopedics and Sports Medicine and Occupational Therapy. According to data from OpenAlex, Jared Williamson has authored 7 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 4 papers in Orthopedics and Sports Medicine and 3 papers in Occupational Therapy. Recurrent topics in Jared Williamson's work include Musculoskeletal pain and rehabilitation (4 papers), Sports injuries and prevention (3 papers) and Occupational Health and Performance (3 papers). Jared Williamson is often cited by papers focused on Musculoskeletal pain and rehabilitation (4 papers), Sports injuries and prevention (3 papers) and Occupational Health and Performance (3 papers). Jared Williamson collaborates with scholars based in United States and United Kingdom. Jared Williamson's co-authors include Deydre S. Teyhen, Stephen L. Goffar, John D. Childs, Phillip J. Plisky, Scott W. Shaffer, Daniel I. Rhon, Robert J. Butler, Kyle Kiesel, Jackie L. Whittaker and Steven Z. George and has published in prestigious journals such as Scientific Reports, Clinical Orthopaedics and Related Research and Archives of Physical Medicine and Rehabilitation.

In The Last Decade

Jared Williamson

7 papers receiving 252 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jared Williamson United States 5 167 142 76 55 43 7 261
Daniela Fett Germany 8 259 1.6× 199 1.4× 131 1.7× 74 1.3× 62 1.4× 10 333
Josefine Stoll Germany 13 179 1.1× 206 1.5× 74 1.0× 100 1.8× 39 0.9× 38 391
Ian E Lee United States 6 152 0.9× 103 0.7× 154 2.0× 39 0.7× 27 0.6× 7 274
Katharina Trompeter Germany 9 344 2.1× 238 1.7× 163 2.1× 91 1.7× 91 2.1× 13 428
Eric Shamus United States 9 104 0.6× 201 1.4× 26 0.3× 92 1.7× 13 0.3× 30 341
Mohammad Bagher Shamsi Iran 9 150 0.9× 70 0.5× 15 0.2× 57 1.0× 57 1.3× 19 266
Olli Ohrankämmen Finland 7 126 0.8× 152 1.1× 168 2.2× 29 0.5× 16 0.4× 8 316
Christopher G. Bise United States 7 134 0.8× 42 0.3× 23 0.3× 59 1.1× 49 1.1× 14 204
Juliana Adami Sedrez Brazil 12 111 0.7× 38 0.3× 105 1.4× 132 2.4× 49 1.1× 30 288
Patrick Pabian United States 11 72 0.4× 67 0.5× 24 0.3× 46 0.8× 9 0.2× 31 263

Countries citing papers authored by Jared Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Jared Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Jared Williamson. A scholar is included among the top collaborators of Jared Williamson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jared Williamson. Jared Williamson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Williamson, Jared, et al.. (2023). Short-term effect of a carbon fiber custom dynamic orthosis and integrated rehabilitation on self-reported physical function, pain, speed, and agility in civilians. Prosthetics and Orthotics International. 47(6). 607–613. 5 indexed citations
2.
Williamson, Jared, et al.. (2023). Predictors of long-term pain and function in individuals who received a custom dynamic orthosis and device-centric care pathway. Prosthetics and Orthotics International. 48(4). 372–379. 2 indexed citations
3.
Campbell, Christopher, Douglas W. Roblin, Nikhil Padmanabhan, et al.. (2022). Saliva-based SARS-CoV-2 serology using at-home collection kits returned via mail. Scientific Reports. 12(1). 14061–14061. 4 indexed citations
4.
Teyhen, Deydre S., Scott W. Shaffer, Robert J. Butler, et al.. (2016). Application of Athletic Movement Tests that Predict Injury Risk in a Military Population: Development of Normative Data. Military Medicine. 181(10). 1324–1334. 11 indexed citations
5.
Teyhen, Deydre S., Scott W. Shaffer, Robert J. Butler, et al.. (2015). What Risk Factors Are Associated With Musculoskeletal Injury in US Army Rangers? A Prospective Prognostic Study. Clinical Orthopaedics and Related Research. 473(9). 2948–2958. 100 indexed citations
6.
Teyhen, Deydre S., et al.. (2011). Inter‐Rater Reliability of Ultrasound Imaging of the Trunk Musculature Among Novice Raters. Journal of Ultrasound in Medicine. 30(3). 347–356. 38 indexed citations
7.
Teyhen, Deydre S., et al.. (2009). Ultrasound Characteristics of the Deep Abdominal Muscles During the Active Straight Leg Raise Test. Archives of Physical Medicine and Rehabilitation. 90(5). 761–767. 101 indexed citations

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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