Junrui Di

30 papers receiving 750 citations

Peers

Junrui Di
Comparison fields: 5 of 103
  • Experimental and Cognitive Psychology 115
  • Physical Therapy, Sports Therapy and Rehabilitation 34
  • Physiology 189
  • Endocrine and Autonomic Systems 48
  • Applied Psychology 28
Replace Andrew Leroux with:
Andrew Leroux United States
Paul R. Hibbing United States
Ludivine Orriols France
Justin B. Miller United States
Tom White United Kingdom
Rachel E. Ward Australia
Blandine Gadegbeku France
Lukas Gorzelniak Germany
Zachary Beattie United States
Reiko Hirasawa Japan
Junrui Di relative to Andrew Leroux United States Andrew Leroux's profile →
Citations per field
00.5×1.5×1.9×
Andrew Leroux · 1×
Citations per year

Countries citing papers authored by Junrui Di

Since Specialization
Citations

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

Fields of papers citing papers by Junrui Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017103
2 201888
3 201983
4 201965
5 202151
6 202149
7 201938
8 201734
9 202132
10 202130
11 202325
12 202325
13 201816
14 202116
15 202216
16 202014
17 201914
18 202512
19 202211
20 20206

About Junrui Di

Junrui Di is a scholar working on Physiology, Experimental and Cognitive Psychology, Endocrine and Autonomic Systems, Cognitive Neuroscience and Public Health, Environmental and Occupational Health, having authored 34 papers that have together received 755 indexed citations. Recurring topics across this work include Physical Activity and Health (8 papers), Obesity, Physical Activity, Diet (3 papers), Circadian rhythm and melatonin (3 papers), Statistical Methods in Clinical Trials (3 papers), Sleep and related disorders (3 papers), Dermatology and Skin Diseases (2 papers), Muscle and Compartmental Disorders (2 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (115 citations), Physical Therapy, Sports Therapy and Rehabilitation (34 citations), Physiology (189 citations), Endocrine and Autonomic Systems (48 citations) and Applied Psychology (28 citations). Junrui Di has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Vadim Zipunnikov, Jacek Urbanek, Luigi Ferrucci, Pei-Lun Kuo, Andrew Leroux, Jennifer A. Schrack, Eleanor M. Simonsick, Amal A. Wanigatunga, Adam P. Spira and Luo Xiao. Their work appears in journals such as JAMA Network Open, Pediatric Research, British Journal of Dermatology, Patterns and Chronobiology International.

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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