Mark Brown
- Physiology top 5%
- Molecular Biology
- Agronomy and Crop Science top 5%
- Orthopedics and Sports Medicine top 5%
- Cell Biology top 10%
- Co-authors
- Wendy M. KohrtDavid R. SinacoreEllen F. BinderP. M. NemethAndrew R. CogganM. A. RogersR. J. SpinaJ. O. Holloszy
- Topics
- Reproductive Physiology in Livestock (5 papers)Genetic and phenotypic traits in livestock (3 papers)Economics of Agriculture and Food Markets (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Mark Brown
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Physiology 461
- Molecular Biology 206
- Agronomy and Crop Science 193
- Orthopedics and Sports Medicine 166
- Cell Biology 158
Countries citing papers authored by Mark Brown
This map shows the geographic impact of Mark Brown'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 Mark Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Brown more than expected).
Fields of papers citing papers by Mark Brown
This network shows the impact of papers produced by Mark Brown. 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 Mark Brown. The network helps show where Mark Brown may publish in the future.
Co-authorship network of co-authors of Mark Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Brown. A scholar is included among the top collaborators of Mark Brown 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 Mark Brown. Mark Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 16 | |
| 3 | 23 | |
| 4 | 5 | |
| 5 | RAILWAYS FACE DISASTER IF THEY FAIL TO CHANGE. | 0 |
| 6 | Increased gene expression of brown fat uncoupling protein (UCP)1 and skeletal muscle UCP2 and UCP3 in MAC16-induced cancer cachexia. | 119 |
| 7 | 267 | |
| 8 | 15 | |
| 9 | 19 | |
| 10 | 62 | |
| 11 | 367 | |
| 12 | 19 | |
| 13 | 15 | |
| 14 | 46 | |
| 15 | 4 | |
| 16 | Organizational research in hospitals. | 21 |
| 17 | 13 | |
| 18 | 28 | |
| 19 | 77 | |
| 20 | Systems for collaborative delivery of health care: current trends in cooperative ventures. | 1 |
About Mark Brown
Mark Brown is a scholar working on Tourism, Leisure and Hospitality Management, Equine and Agronomy and Crop Science, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Economics of Agriculture and Food Markets (2 papers). The work is most often cited by research in Geriatrics and Gerontology (110 citations), Orthopedics and Sports Medicine (166 citations) and Agronomy and Crop Science (193 citations). Mark Brown has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Wendy M. Kohrt, David R. Sinacore, Ellen F. Binder, P. M. Nemeth, Andrew R. Coggan, M. A. Rogers, R. J. Spina, J. O. Holloszy, Stanley J. Birge and Peter Mills. Their work appears in journals such as Journal of Applied Physiology, The Journals of Gerontology Series A and Journal of Animal Science.
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.