Mary E. Jung

130 papers receiving 3.6k citations

Mary E. Jung's Hit Papers

Low-volume high-intensity interval training reduces hyperglycemia and increases muscle mitochondrial capacity in patients with type 2 diabetes 2011 · 585 citations
5850+5+10Years since publication100200300400500

Peers

Mary E. Jung
Comparison fields: 5 of 138
  • Complementary and alternative medicine 1.4k
  • Applied Psychology 620
  • Orthopedics and Sports Medicine 617
  • Physiology 1.7k
  • Rehabilitation 272
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Neil M. Johannsen United States
Melinda M. Manore United States
Phillip B. Sparling United States
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Citations per field
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Citations per year

Countries citing papers authored by Mary E. Jung

Since Specialization
Citations

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

Fields of papers citing papers by Mary E. Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary E. Jung. 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 Mary E. Jung. The network helps show where Mary E. Jung may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Low-volume high-intensity interval training reduces hyperglycemia and increases muscle mitochondrial capacity in patients with type 2 diabetes
Hit paper breakdown →
2011585
2 2014254
3 2015151
4 2014150
5 2012150
6 2015132
7 2008119
8 201890
9 201590
10 200386
11 201375
12 201372
13 201071
14 201464
15 201460
16 201757
17 200953
18 201751
19 201849
20 201749

About Mary E. Jung

Mary E. Jung is a scholar working on Physiology, Applied Psychology, Complementary and alternative medicine, General Health Professions and Endocrinology, Diabetes and Metabolism, having authored 136 papers that have together received 3.7k indexed citations. Recurring topics across this work include Physical Activity and Health (52 papers), Cardiovascular and exercise physiology (35 papers), Behavioral Health and Interventions (34 papers), Diabetes Management and Education (21 papers), Obesity, Physical Activity, Diet (20 papers), Health Policy Implementation Science (17 papers), Sports Performance and Training (15 papers) and Mobile Health and mHealth Applications (14 papers). The work is most often cited by research in Complementary and alternative medicine (1.4k citations), Applied Psychology (620 citations), Orthopedics and Sports Medicine (617 citations), Physiology (1.7k citations) and Rehabilitation (272 citations). Mary E. Jung has collaborated with scholars based in Canada, United Kingdom and Australia. Frequent co-authors include Jonathan P. Little, Jessica E. Bourne, Kathleen A. Martin Ginis, Martin J. Gibala, Zubin Punthakee, Mark A. Tarnopolsky, Michael E. Percival, Adeel Safdar, Jenna B. Gillen and Lawrence R. Brawley. Their work appears in journals such as Medicine & Science in Sports & Exercise, Applied Physiology Nutrition and Metabolism, Canadian Journal of Diabetes, Translational Behavioral Medicine and Journal of Health Psychology.

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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