Simon Cheng

32 papers receiving 945 citations

Peers

Simon Cheng
Comparison fields: 5 of 90
  • Demography 169
  • Safety Research 113
  • Education 232
  • Sociology and Political Science 301
  • Gender Studies 44
Replace Andreas Witzel with:
Andreas Witzel Germany
Martin Forsey Australia
Stephen Sweet United States
Emma Uprichard United Kingdom
Matthew McDonald Australia
Gaynor Bagnall United Kingdom
Helena Pimlott‐Wilson United Kingdom
Jenny Chesters Australia
Niall Cunningham United Kingdom
Brenda A. Lautsch Canada
Simon Cheng relative to Andreas Witzel Germany Andreas Witzel's profile →
Citations per field
00.5×2×3.3×
Andreas Witzel · 1×
Citations per year

Countries citing papers authored by Simon Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Simon Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Simon Cheng, 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 Simon Cheng Line = papers co-authored together Simon Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007241
2 2002194
3 2007131
4 201558
5 200451
6 200742
7 201635
8 201832
9 200030
10 201028
11 200526
12 201426
13 201717
14 200715
15 201615
16 201114
17 202212
18
Royal jelly and human health.
200311
19 20079
20 20118

About Simon Cheng

Simon Cheng is a scholar working on Demography, Gender Studies, Sociology and Political Science, Education and General Social Sciences, having authored 35 papers that have together received 1k indexed citations. Recurring topics across this work include Family Dynamics and Relationships (8 papers), Gender and Technology in Education (5 papers), Racial and Ethnic Identity Research (5 papers), Impact of Technology on Adolescents (5 papers), School Choice and Performance (4 papers), Educational Innovations and Technology (4 papers), Intergenerational and Educational Inequality Studies (3 papers) and Child Welfare and Adoption (3 papers). The work is most often cited by research in Demography (169 citations), Safety Research (113 citations), Education (232 citations), Sociology and Political Science (301 citations) and Gender Studies (44 citations). Simon Cheng has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include J. Scott Long, Brian Powell, Brian Starks, Laura T. Hamilton, Wen H. Kuo, Todd E. Vachon, Joshua Klugman, Regina Werum, Bianca N. Manago and Angran Li. Their work appears in journals such as American Sociological Review, Sociology of Education, Social Forces, Sociological Methods & Research and Journal of Marriage and the Family.

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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