Shaofu Chen

820 citations
29 papers · 650 · h-index 16

Impact in

Papers in

Shaofu Chen

28 papers receiving 620 citations

Peers

Shaofu Chen
Comparison fields: 5 of 77
  • Developmental and Educational Psychology 242
  • Statistics and Probability 132
  • Developmental Biology 28
  • Health 93
  • Cognitive Neuroscience 149
Replace Sandra Barrueco with:
Sandra Barrueco United States
James C. Moe United States
Dorothy J. Mandell United States
Morag L. Donaldson United Kingdom
Sébastien Monette Canada
Richard M. Hodes Ethiopia
Richard O. Straub United States
James T. Todd United States
Martha Peláez‐Nogueras United States
Kathleen Bloom Canada
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Citations per field
00.5×7.8×
Sandra Barrueco · 1×
Citations per year

Countries citing papers authored by Shaofu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaofu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991109
2 1997100
3 201149
4 200641
5 199133
6 199132
7 200830
8 200729
9 200321
10 200020
11 200820
12 200418
13 199118
14 200017
15 200616
16 199515
17
Community empowerment to reduce childhood immunization disparities in New York City.
200414
18 200713
19 200811
20 20069

About Shaofu Chen

Shaofu Chen is a scholar working on Developmental and Educational Psychology, Health, Statistics and Probability, General Health Professions and Epidemiology, having authored 29 papers that have together received 650 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (7 papers), Behavioral and Psychological Studies (6 papers), Child and Adolescent Health (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Visual and Cognitive Learning Processes (3 papers), Child and Animal Learning Development (3 papers), Adolescent and Pediatric Healthcare (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Developmental and Educational Psychology (242 citations), Statistics and Probability (132 citations), Developmental Biology (28 citations), Health (93 citations) and Cognitive Neuroscience (149 citations). Shaofu Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include H. S. Terrace, Karyl B. Swartz, Matilde Irigoyen, Sally E. Findley, Melissa E. Glassman, H. Blair Simpson, Melissa S. Stockwell, Jennifer R. Verani, Carolyn I. Rodríguez and Susan M. Essock. Their work appears in journals such as Journal of comparative psychology, Journal of Urban Health, American Journal of Public Health, Journal of Pediatric and Adolescent Gynecology and Psychological Science.

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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