John M. Long
Impact in
-
- Spine and Intervertebral Disc Pathology
- Pharmacology top 2%
- Musculoskeletal pain and rehabilitation
Papers in
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- Experimental Learning in Engineering 19
- Engineering Education and Curriculum Development 13
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- Muscle activation and electromyography studies 6
- Co-authors
- Daniel E. Singer (2 shared papers)Donald L. Patrick (2 shared papers)Steven J. Atlas (2 shared papers)Richard A. Deyo (2 shared papers)Robert B. Keller (2 shared papers)Abbas Z. Kouzani (12 shared papers)John Morton (1 shared paper)Roger Guillemin (7 shared papers)
- Journals
- Endocrinology (3 papers)Controlled Clinical Trials (2 papers)Surface and Coatings Technology (2 papers)Spine (2 papers)Sensors and Actuators A Physical (2 papers)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
John M. Long
86 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 161
- Pathology and Forensic Medicine 480
- Pharmacology 421
- Behavioral Neuroscience 43
- Surgery 479
- Mechanics of Materials 233
Countries citing papers authored by John M. Long
This map shows the geographic impact of John M. Long'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 John M. Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Long more than expected).
Fields of papers citing papers by John M. Long
This network shows the impact of papers produced by John M. Long. 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 John M. Long. The network helps show where John M. Long may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 271 | |
| 2 | 1996 | 253 | |
| 3 | 1976 | 91 | |
| 4 | 2004 | 85 | |
| 5 | 2022 | 73 | |
| 6 | 1962 | 67 | |
| 7 | 2001 | 65 | |
| 8 | 2023 | 64 | |
| 9 | 2002 | 56 | |
| 10 | 2003 | 47 | |
| 11 | 2021 | 46 | |
| 12 | 2022 | 43 | |
| 13 | 1960 | 39 | |
| 14 | 1962 | 39 | |
| 15 | 1972 | 34 | |
| 16 | 1989 | 29 | |
| 17 | 1991 | 28 | |
| 18 | 1979 | 26 | |
| 19 | 2020 | 20 | |
| 20 | 2004 | 20 |
About John M. Long
John M. Long is a scholar working on Media Technology, Biomedical Engineering, Education, Surgery and Mechanical Engineering, having authored 96 papers that have together received 1.8k indexed citations. Recurring topics across this work include Experimental Learning in Engineering (19 papers), Engineering Education and Curriculum Development (13 papers), Innovative Teaching Methods (9 papers), Neuroscience and Neural Engineering (7 papers), Muscle activation and electromyography studies (6 papers), Metal and Thin Film Mechanics (6 papers), Engineering Education and Pedagogy (6 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (480 citations), Pharmacology (421 citations), Behavioral Neuroscience (43 citations), Surgery (479 citations) and Mechanics of Materials (233 citations). John M. Long has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Daniel E. Singer, Donald L. Patrick, Steven J. Atlas, Richard A. Deyo, Robert B. Keller, Abbas Z. Kouzani, John Morton, Roger Guillemin, Scott Adams and Andrew V. Schally. Their work appears in journals such as Endocrinology, Controlled Clinical Trials, Surface and Coatings Technology, Spine and Sensors and Actuators A Physical.
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.