Jay Kapellusch
- Pharmacology top 0.5%
- Surgery top 5%
- Social Psychology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Orthopedics and Sports Medicine top 2%
- Co-authors
- Arun GargKurt T. HegmannMatthew S. ThieseRichard W. BohannonAndrew MerryweatherYing-Chih WangBarbara SilversteinCarisa Harris‐Adamson
- Topics
- Musculoskeletal pain and rehabilitation (61 papers)Orthopedic Surgery and Rehabilitation (28 papers)Ergonomics and Musculoskeletal Disorders (26 papers)
- Journals
- American Journal of EpidemiologyArchives of Physical Medicine and RehabilitationBMC Public Health
- Partner nations
- United StatesAustriaChina
In The Last Decade
Jay Kapellusch
90 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 126
- Pharmacology 1.3k
- Surgery 721
- Social Psychology 688
- Radiology, Nuclear Medicine and Imaging 496
- Orthopedics and Sports Medicine 403
Countries citing papers authored by Jay Kapellusch
This map shows the geographic impact of Jay Kapellusch'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 Jay Kapellusch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Kapellusch more than expected).
Fields of papers citing papers by Jay Kapellusch
This network shows the impact of papers produced by Jay Kapellusch. 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 Jay Kapellusch. The network helps show where Jay Kapellusch may publish in the future.
Co-authorship network of co-authors of Jay Kapellusch
This figure shows the co-authorship network connecting the top 25 collaborators of Jay Kapellusch. A scholar is included among the top collaborators of Jay Kapellusch 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 Jay Kapellusch. Jay Kapellusch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 26 | |
| 6 | 11 | |
| 7 | 24 | |
| 8 | 10 | |
| 9 | 28 | |
| 10 | 8 | |
| 11 | 28 | |
| 12 | 6 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 9 | |
| 16 | 36 | |
| 17 | 15 | |
| 18 | 12 | |
| 19 | 15 | |
| 20 | 66 |
About Jay Kapellusch
Jay Kapellusch is a scholar working on Medical Laboratory Technology, Pharmacology and Orthopedics and Sports Medicine, having authored 90 papers that have together received 2.5k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (61 papers), Orthopedic Surgery and Rehabilitation (28 papers) and Ergonomics and Musculoskeletal Disorders (26 papers). The work is most often cited by research in Medical Laboratory Technology (206 citations), Pharmacology (1.3k citations) and Radiological and Ultrasound Technology (284 citations). Jay Kapellusch has collaborated with scholars based in United States, Austria and China. Frequent co-authors include Arun Garg, Kurt T. Hegmann, Matthew S. Thiese, Richard W. Bohannon, Andrew Merryweather, Ying-Chih Wang, Barbara Silverstein, Carisa Harris‐Adamson, J. Steven Moore and Ann Marie Dale. Their work appears in journals such as American Journal of Epidemiology, Archives of Physical Medicine and Rehabilitation and BMC Public Health.
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.