Mark Brown

22 papers receiving 1.2k citations

Peers

Mark Brown
Comparison fields: 5 of 107
  • Geriatrics and Gerontology 91
  • Agronomy and Crop Science 194
  • Complementary and alternative medicine 126
  • Orthopedics and Sports Medicine 128
  • Physiology 340
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Leonardo Oliveira United States
Agnieszka Podfigurna Poland
Daniel R. Richardson United States
Teresa Oliveira Portugal
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P. J. MCGOVERN United States
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Citations per field
00.5×20×40×60×80×97×
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Citations per year

Countries citing papers authored by Mark Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Mark Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Brown Line = papers co-authored together Mark Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992372
2 2000286
3
Increased gene expression of brown fat uncoupling protein (UCP)1 and skeletal muscle UCP2 and UCP3 in MAC16-induced cancer cachexia.
2000124
4 201486
5 197578
6 199765
7 198351
8 198345
9 197530
10 200227
11 199921
12
Organizational research in hospitals.
197621
13 198618
14 199915
15 198514
16 201014
17
A rough cluster analysis of shopping orientation data
200314
18 197614
19 20196
20 20015

About Mark Brown

Mark Brown is a scholar working on Agronomy and Crop Science, Information Systems and Management, Orthopedics and Sports Medicine, Marketing and Gender Studies, having authored 23 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), Food Security and Health in Diverse Populations (2 papers), Technology Adoption and User Behaviour (2 papers), Economics of Agriculture and Food Markets (2 papers), Sports Performance and Training (2 papers), Diet and metabolism studies (2 papers) and Gender, Labor, and Family Dynamics (1 paper). The work is most often cited by research in Geriatrics and Gerontology (91 citations), Agronomy and Crop Science (194 citations), Complementary and alternative medicine (126 citations), Orthopedics and Sports Medicine (128 citations) and Physiology (340 citations). Mark Brown has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Wendy M. Kohrt, Ellen F. Binder, David R. Sinacore, Andrew R. Coggan, Robert J. Spina, Maya Rogers, J. O. Holloszy, P. M. Nemeth, Peter Mills and Rod Barrett. Their work appears in journals such as Theriogenology, The Journals of Gerontology Series A, American Journal of Veterinary Research, Journal of Animal Science and Journal of Applied 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.

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