Molly S. Bray

11.5k citations
139 papers · 8.1k indexed · 1 hit paper · h-index 50

Molly S. Bray

136 papers receiving 7.9k citations

Hit Papers

The Human Gene Map for Performance and Health-Related Fit...5532006202620122019100200300400500

Peers

Molly S. Bray
Comparison fields: 5 of 157
  • Endocrine and Autonomic Systems 1.8k
  • Aging 415
  • Physiology 2.5k
  • Genetics 1.7k
  • Cardiology and Cardiovascular Medicine 1.3k
Replace David Ray with:
David Ray United Kingdom
Flemming Dela Denmark
Anthony G. Comuzzie United States
D. Lee Hamilton United Kingdom
Kirsi H. Pietiläinen Finland
Tuomo Rankinen United States
Louis Përusse Canada
Diana van Heemst Netherlands
Toni I. Pollin United States
Ko Willems van Dijk Netherlands
Molly S. Bray relative to David Ray United Kingdom David Ray's profile →
Citations per field
00.5×2.5×
David Ray · 1×
Citations per year

Countries citing papers authored by Molly S. Bray

Since Specialization
Citations

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

Fields of papers citing papers by Molly S. Bray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Molly S. Bray. 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 Molly S. Bray. The network helps show where Molly S. Bray may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20225
2 20228
3 201947
4 20149
5 201227
6 201221
7 20104
8 200991
9 200985
10 2009156
11 2008128
12 200837
13 2008335
14 20087
15 200797
16 200578
17 20041
18 2002293
19 200035
20 19927

About Molly S. Bray

Molly S. Bray is a scholar working on Endocrine and Autonomic Systems, Aging and Physiology, having authored 139 papers that have together received 8.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (32 papers), Circadian rhythm and melatonin (21 papers), Obesity, Physical Activity, Diet (19 papers), Genetics and Physical Performance (11 papers), Physical Activity and Health (10 papers), Dietary Effects on Health (8 papers), Sports Performance and Training (8 papers) and Body Composition Measurement Techniques (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.8k citations), Aging (415 citations) and Physiology (2.5k citations). Molly S. Bray has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Martin E. Young, Eric Boerwinkle, Claude Bouchard, James M. Hagberg, Bernd Wolfarth, Louis Përusse, Stephen M. Roth, Tuomo Rankinen, Chad A. Shaw and David J. Durgan. Their work appears in journals such as Medicine & Science in Sports & Exercise, International Journal of Obesity, Obesity, The American Journal of Human Genetics and Journal of Biological Chemistry.

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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