Michael D. Major
Impact in
Papers in
- Equine 6
- Veterinary Equine Medical Research 6
-
- Veterinary Pharmacology and Anesthesia 2
- Co-authors
- John M. Torkelson (3 shared papers)Chad J. Zubrod (5 shared papers)Brent A. Hague (4 shared papers)C Wayne McIlwraith (3 shared papers)David D. Frisbie (2 shared papers)Laurie R. Goodrich (2 shared papers)Dora J. Ferris (2 shared papers)John David Kisiday (2 shared papers)
- Journals
- Macromolecules (3 papers)Veterinary Surgery (3 papers)Journal of the American Veterinary Medical Association (2 papers)Equine Veterinary Journal (1 paper)Spine (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael D. Major
13 papers receiving 397 citations
Peers
Comparison fields: 5 of 79
- Equine 88
- Genetics 93
- Biochemistry 46
- Urology 44
- Small Animals 44
Countries citing papers authored by Michael D. Major
This map shows the geographic impact of Michael D. Major'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 Michael D. Major with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Major more than expected).
Fields of papers citing papers by Michael D. Major
This network shows the impact of papers produced by Michael D. Major. 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 Michael D. Major. The network helps show where Michael D. Major may publish in the future.
Co-authors
The 24 scholars most cited alongside Michael D. Major, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 152 | |
| 2 | 1992 | 83 | |
| 3 | 1987 | 60 | |
| 4 | 1990 | 49 | |
| 5 | 1990 | 29 | |
| 6 | 1990 | 22 | |
| 7 | Clinical follow-up of horses treated with bone marrow-derived mesenchymal stem cells for musculoskeletal lesions. | 2009 | 17 |
| 8 | 1986 | 12 | |
| 9 | 1989 | 11 | |
| 10 | Soft tissue and periarticular conditions of the plantar tarsal region | 2006 | 6 |
| 11 | Clinical outcome of collateral ligament injuries of the tarsus. | 2012 | 5 |
| 12 | Is intra-articular mepivacaine, before intra-articular administration of hyaluronan and/or cortisone, associated with joint sepsis? | 2006 | 3 |
| 13 | 2019 | 1 | |
| 14 | 1992 | 0 |
About Michael D. Major
Michael D. Major is a scholar working on Equine, Small Animals, Orthopedics and Sports Medicine, Surgery and Microbiology, having authored 14 papers that have together received 450 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (6 papers), Tendon Structure and Treatment (3 papers), Shoulder Injury and Treatment (2 papers), Veterinary Pharmacology and Anesthesia (2 papers), Veterinary Oncology Research (1 paper), Sports injuries and prevention (1 paper), Actinomycetales infections and treatment (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Equine (88 citations), Genetics (93 citations), Biochemistry (46 citations), Urology (44 citations) and Small Animals (44 citations). Michael D. Major has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include John M. Torkelson, Chad J. Zubrod, Brent A. Hague, C Wayne McIlwraith, David D. Frisbie, Laurie R. Goodrich, Dora J. Ferris, John David Kisiday, Chris E. Kawcak and Ann M. Brearley. Their work appears in journals such as Macromolecules, Veterinary Surgery, Journal of the American Veterinary Medical Association, Equine Veterinary Journal and Spine.
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.