Steve Anton

844 citations
10 papers · 641 · h-index 7

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies
    • Dietary Effects on Health

Papers in

Steve Anton

10 papers receiving 632 citations

Peers

Steve Anton
Comparison fields: 5 of 87
  • Aging 56
  • Physiology 286
  • Endocrine and Autonomic Systems 52
  • Geriatrics and Gerontology 22
  • Endocrinology, Diabetes and Metabolism 67
Replace Ting Fang Alvin Ang with:
Ting Fang Alvin Ang United States
Wenting Xie China
Giovanni Polimeni Italy
Hans Mulder Netherlands
Yu‐Ju Lin Taiwan
Raji Balasubramanian United States
Panagiota T. Foteinou United States
L. Stephen Coles United States
Nathan Greenberg United States
Ilia Stambler Israel
Steve Anton relative to Ting Fang Alvin Ang United States Ting Fang Alvin Ang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Steve Anton

Since Specialization
Citations

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

Fields of papers citing papers by Steve Anton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Anton. 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 Steve Anton. The network helps show where Steve Anton may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2006417
2 201686
3 202232
4 201129
5 201028
6 201321
7 201819
8 20195
9 20163
10 20101

About Steve Anton

Steve Anton is a scholar working on Physiology, General Health Professions, Endocrine and Autonomic Systems, Applied Psychology and Computer Networks and Communications, having authored 10 papers that have together received 641 indexed citations. Recurring topics across this work include Physical Activity and Health (3 papers), Mobile Health and mHealth Applications (2 papers), Circadian rhythm and melatonin (1 paper), Cardiovascular and exercise physiology (1 paper), Behavioral Health and Interventions (1 paper), Technology Use by Older Adults (1 paper), Regulation of Appetite and Obesity (1 paper) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Aging (56 citations), Physiology (286 citations), Endocrine and Autonomic Systems (52 citations), Geriatrics and Gerontology (22 citations) and Endocrinology, Diabetes and Metabolism (67 citations). Steve Anton has collaborated with scholars based in United States, Poland and Slovakia. Frequent co-authors include D. Enette Larson‐Meyer, Leonie K. Heilbronn, Leanne M. Redman, Anthony Alfonso, Éric Ravussin, Steven R. Smith, Bradley R. Newcomer, Madlyn I. Frisard, Zachary Tatlock and Michael D. Ernst. Their work appears in journals such as Gerontology, The Journal of Prevention of Alzheimer s Disease, Frontiers in Aging Neuroscience, Translational Behavioral Medicine and Scientific Reports.

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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