Marcel G. Brown

16 papers receiving 359 citations

Peers

Marcel G. Brown
Comparison fields: 5 of 72
  • Complementary and alternative medicine 67
  • Orthopedics and Sports Medicine 63
  • Rehabilitation 42
  • Physiology 105
  • Cardiology and Cardiovascular Medicine 78
Replace Chi‐An W. Emhoff with:
Chi‐An W. Emhoff United States
Tatsuaki Ikeda Japan
Mikael Flockhart Sweden
Jan B. Bartholomeu Brazil
Chang-Hwa Joo South Korea
Karina Kouzaki Japan
Kevin L. Shimkus United States
Kasper Degn Gejl Denmark
Roksana Zak United States
Daniel J. Krause Canada
Marcel G. Brown relative to Chi‐An W. Emhoff United States Chi‐An W. Emhoff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcel G. Brown

Since Specialization
Citations

This map shows the geographic impact of Marcel G. 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 Marcel G. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel G. Brown more than expected).

Fields of papers citing papers by Marcel G. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel G. 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 Marcel G. Brown. The network helps show where Marcel G. Brown may publish in the future.

Co-authors

The 25 scholars most cited alongside Marcel G. 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 Marcel G. Brown Line = papers co-authored together Marcel G. Brown links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990136
2 201859
3 201938
4 200532
5 201727
6 202020
7 201815
8 202114
9 20247
10
Intestinal adaptation during lactation in the mouse. I. Enhanced intestinal uptake of dietary protein antigen.
19897
11 20185
12 20173
13 20193
14 20212
15 20161
16 20171
17 20250
18 20260
19 20220
20 20250

About Marcel G. Brown

Marcel G. Brown is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Surgery, Cell Biology and Orthopedics and Sports Medicine, having authored 22 papers that have together received 370 indexed citations. Recurring topics across this work include Cardiovascular Effects of Exercise (5 papers), Cardiovascular and exercise physiology (4 papers), Muscle metabolism and nutrition (3 papers), Cardiovascular Function and Risk Factors (3 papers), Sports Performance and Training (2 papers), Pluripotent Stem Cells Research (1 paper), Algorithms and Data Compression (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Complementary and alternative medicine (67 citations), Orthopedics and Sports Medicine (63 citations), Rehabilitation (42 citations), Physiology (105 citations) and Cardiology and Cardiovascular Medicine (78 citations). Marcel G. Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include P. M. Nemeth, D. S. King, J. O. Holloszy, M. A. Rogers, R. J. Spina, Andrew R. Coggan, Aaron L. Baggish, Richard Chamberlain, Jon R. Bridle and Daniel E. Lieberman. Their work appears in journals such as Journal of Applied Physiology, Journal of the American College of Cardiology, Annals of Translational Medicine, Medicine & Science in Sports & Exercise and Proceedings of the National Academy of Sciences.

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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