Steve Chen

40 papers receiving 991 citations

Peers

Steve Chen
Comparison fields: 5 of 138
  • Endocrine and Autonomic Systems 110
  • Physiology 276
  • Endocrinology, Diabetes and Metabolism 174
  • Nutrition and Dietetics 140
  • Biochemistry 49
Replace Nadia Mores with:
Nadia Mores Italy
Tadeusz Pietras Poland
Xiaohui Xu China
Louise Thibault Canada
Kenji Nagao Japan
Anne Huotari Finland
Sarah A. Johnson United States
Akiko Tanaka Japan
Stephanie T. Chung United States
Badrah S. Alghamdi Saudi Arabia
Steve Chen relative to Nadia Mores Italy Nadia Mores's profile →
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Citations per year

Countries citing papers authored by Steve Chen

Since Specialization
Citations

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

Fields of papers citing papers by Steve Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015299
2 2008126
3 201378
4 201159
5
The effects of sport participation on student-athletes' and non-athlete students' social life and identity.
201056
6 200846
7 200946
8 201842
9 198840
10 201036
11 201030
12 201023
13 200822
14 201018
15 201316
16 201214
17 200312
18 20138
19 20178
20 20128

About Steve Chen

Steve Chen is a scholar working on Gender Studies, Hepatology, Transplantation, Complementary and alternative medicine and Endocrine and Autonomic Systems, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (7 papers), Sports Analytics and Performance (5 papers), Sports, Gender, and Society (5 papers), Semiconductor Lasers and Optical Devices (4 papers), Sport and Mega-Event Impacts (4 papers), Diabetes Treatment and Management (3 papers), Diet and metabolism studies (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (110 citations), Physiology (276 citations), Endocrinology, Diabetes and Metabolism (174 citations), Nutrition and Dietetics (140 citations) and Biochemistry (49 citations). Steve Chen has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Jonathan D. Roth, David G. Parkes, Debbie L. Hay, Thomas A. Lutz, Zhaoping Li, Catherine L. Carpenter, Eric Yan, Gail Thames, David Heber and Kurt Hong. Their work appears in journals such as Nutrition Journal, Journal of the International Society of Sports Nutrition, The FASEB Journal, Journal of the World Aquaculture Society and Diabetes Metabolic Syndrome and Obesity.

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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