Richard M. Lovering
- Molecular Biology top 5%
- Surgery top 5%
- Biomedical Engineering top 5%
- Physiology top 5%
- Orthopedics and Sports Medicine top 2%
- Co-authors
- Stephen J. P. PrattRobert J. BlochShama R. IyerSameer B. ShahPatrick G. De DeyneChristopher W. WardEspen E. SpangenburgJoseph A. Roche
- Topics
- Muscle Physiology and Disorders (59 papers)Muscle activation and electromyography studies (24 papers)Sports injuries and prevention (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsThe Journal of Physiology
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Richard M. Lovering
99 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.7k
- Surgery 633
- Biomedical Engineering 564
- Physiology 522
- Orthopedics and Sports Medicine 426
Countries citing papers authored by Richard M. Lovering
This map shows the geographic impact of Richard M. Lovering'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 Richard M. Lovering with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Lovering more than expected).
Fields of papers citing papers by Richard M. Lovering
This network shows the impact of papers produced by Richard M. Lovering. 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 Richard M. Lovering. The network helps show where Richard M. Lovering may publish in the future.
Co-authorship network of co-authors of Richard M. Lovering
This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Lovering. A scholar is included among the top collaborators of Richard M. Lovering 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 Richard M. Lovering. Richard M. Lovering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 24 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 28 | |
| 10 | 19 | |
| 11 | 51 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 22 | |
| 15 | 25 | |
| 16 | 25 | |
| 17 | 8 | |
| 18 | 19 | |
| 19 | 19 | |
| 20 | 24 |
About Richard M. Lovering
Richard M. Lovering is a scholar working on Rehabilitation, Orthopedics and Sports Medicine and Cellular and Molecular Neuroscience, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (59 papers), Muscle activation and electromyography studies (24 papers) and Sports injuries and prevention (16 papers). The work is most often cited by research in Rehabilitation (411 citations), Orthopedics and Sports Medicine (426 citations) and Molecular Biology (1.7k citations). Richard M. Lovering has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Stephen J. P. Pratt, Robert J. Bloch, Shama R. Iyer, Sameer B. Shah, Patrick G. De Deyne, Christopher W. Ward, Espen E. Spangenburg, Joseph A. Roche, Joaquin M. Muriel and Leigh Ann Curl. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and The Journal of Physiology.
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.