Julia L. Sharp

159 papers receiving 2.2k citations

Peers

Julia L. Sharp
Comparison fields: 5 of 197
  • Environmental Engineering 233
  • Radiological and Ultrasound Technology 82
  • Physical Therapy, Sports Therapy and Rehabilitation 63
  • Statistics, Probability and Uncertainty 102
  • Equine 19
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Yulia R. Gel United States
Dennis L. Eggett United States
Haldun Akoğlu Türkiye
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Andrzej T. Gałecki United States
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Countries citing papers authored by Julia L. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Julia L. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia L. Sharp. 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 Julia L. Sharp. The network helps show where Julia L. Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018178
2 1997135
3 2014133
4 2017131
5 201593
6 201971
7 201563
8 201362
9 201860
10 201858
11 201654
12 201448
13 202247
14 201141
15 201237
16 201737
17 201634
18 201033
19 201931
20 202131

About Julia L. Sharp

Julia L. Sharp is a scholar working on Equine, Physical Therapy, Sports Therapy and Rehabilitation, Statistics and Probability, Health Information Management and Applied Psychology, having authored 173 papers that have together received 2.3k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (11 papers), Mindfulness and Compassion Interventions (9 papers), Soil Geostatistics and Mapping (8 papers), Soil and Land Suitability Analysis (7 papers), Nutrition, Health and Food Behavior (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Balance, Gait, and Falls Prevention (6 papers) and Infection Control and Ventilation (6 papers). The work is most often cited by research in Environmental Engineering (233 citations), Radiological and Ultrasound Technology (82 citations), Physical Therapy, Sports Therapy and Rehabilitation (63 citations), Statistics, Probability and Uncertainty (102 citations) and Equine (19 citations). Julia L. Sharp has collaborated with scholars based in United States, Libya and United Kingdom. Frequent co-authors include Christopher J. Post, Elena A. Mikhailova, Mark A. Schlautman, Annick Anctil, Hamdi A. Zurqani, Margaret D. Condrasky, Arlene A. Schmid, Marieke Van Puymbroeck, Jonathan D. Rollins and Sara M. Sarasua. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Journal of the Academy of Nutrition and Dietetics, Parasites & Vectors, American Journal of Occupational Therapy and Journal of Clinical Oncology.

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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