Jeffrey R. Cram
- Biomedical Engineering top 5%
- Pharmacology top 2%
- Orthopedics and Sports Medicine top 2%
- Surgery top 10%
- Cognitive Neuroscience top 5%
- Co-authors
- Glenn S. KasmanJennifer HoltzJeffrey C. StegerScott E. KerickRonald LeyLawrence M. SchleiferThomas W. SpaldingBradley D. Hatfield
- Topics
- Musculoskeletal pain and rehabilitation (8 papers)Muscle activation and electromyography studies (5 papers)Ergonomics and Musculoskeletal Disorders (3 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Jeffrey R. Cram
20 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 624
- Pharmacology 447
- Orthopedics and Sports Medicine 381
- Surgery 324
- Cognitive Neuroscience 269
Countries citing papers authored by Jeffrey R. Cram
This map shows the geographic impact of Jeffrey R. Cram'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 Jeffrey R. Cram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey R. Cram more than expected).
Fields of papers citing papers by Jeffrey R. Cram
This network shows the impact of papers produced by Jeffrey R. Cram. 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 Jeffrey R. Cram. The network helps show where Jeffrey R. Cram may publish in the future.
Co-authorship network of co-authors of Jeffrey R. Cram
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey R. Cram. A scholar is included among the top collaborators of Jeffrey R. Cram 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 Jeffrey R. Cram. Jeffrey R. Cram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 37 | |
| 3 | EFFECTS OF TWO FLOWER ESSENCES ON HIGH INTENSITY ENVIRONMENTAL STIMULATION AND EMF | 2 |
| 4 | Effects of Two Flower Essences on High Intensity Environmental Stimulation and EMF: A Matter of Head and Chest | 1 |
| 5 | A PSYCHOLOGICAL AND METAPHYSICAL STUDY OF DR. EDWARD BACH'S FLOWER ESSENCE STRESS FORMULA | 4 |
| 6 | 7 | |
| 7 | Introduction to Surface Electromyographybreakdown → | 973 |
| 8 | 12 | |
| 9 | 5 | |
| 10 | Clinical Applications in Surface Electromyography: Chronic Musculoskeletal Pain | 19 |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 29 | |
| 15 | 15 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | 25 | |
| 19 | 2 | |
| 20 | 0 |
About Jeffrey R. Cram
Jeffrey R. Cram is a scholar working on Anatomy, Occupational Therapy and Pharmacology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (8 papers), Muscle activation and electromyography studies (5 papers) and Ergonomics and Musculoskeletal Disorders (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (381 citations), Medical Laboratory Technology (43 citations) and Pharmacology (447 citations). Jeffrey R. Cram has collaborated with scholars based in United States and Australia. Frequent co-authors include Glenn S. Kasman, Jennifer Holtz, Jeffrey C. Steger, Scott E. Kerick, Ronald Ley, Lawrence M. Schleifer, Thomas W. Spalding, Bradley D. Hatfield, Timothy S. Cahn and Daniel P. Wirth. Their work appears in journals such as American Psychologist, Psychosomatic Medicine and Psychophysiology.
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.