Nina Chien

1.3k total citations
14 papers, 886 citations indexed

About

Nina Chien is a scholar working on Education, Demography and Clinical Psychology. According to data from OpenAlex, Nina Chien has authored 14 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Education, 5 papers in Demography and 4 papers in Clinical Psychology. Recurrent topics in Nina Chien's work include Family Dynamics and Relationships (5 papers), Early Childhood Education and Development (5 papers) and Parental Involvement in Education (4 papers). Nina Chien is often cited by papers focused on Family Dynamics and Relationships (5 papers), Early Childhood Education and Development (5 papers) and Parental Involvement in Education (4 papers). Nina Chien collaborates with scholars based in United States and Canada. Nina Chien's co-authors include Rashmita S. Mistry, Aprile D. Benner, Carollee Howes, Elizabeth C. Hair, Tamara Halle, Laura D. Wandner, Jeremy C. Biesanz, Edward D. Lowe, Patricia L. East and Margaret Burchinal and has published in prestigious journals such as Child Development, Journal of Marriage and the Family and Journal of Youth and Adolescence.

In The Last Decade

Nina Chien

14 papers receiving 817 citations

Peers

Nina Chien
Comparison fields: 5 of 71
  • Education 568
  • Clinical Psychology 275
  • Developmental and Educational Psychology 257
  • Sociology and Political Science 132
  • General Health Professions 89
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Citations per field, relative to Nina Chien
Nina Chien · 1×
Citations per year, relative to Nina Chien
Nina Chien · 1×

Countries citing papers authored by Nina Chien

Since Specialization
Citations

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

Fields of papers citing papers by Nina Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Chien. A scholar is included among the top collaborators of Nina Chien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Chien. Nina Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1
Implications of QRIS Design for the Distribution of Program Ratings and Linkages between Ratings and Observed Quality. OPRE Research Brief 2014-33.
2
2 11
3
Encouraging the Development of Key Life Skills in Elementary School-Age Children: A Literature Review and Recommendations to the Tauck Family Foundation. Working Paper. Publication #2012-28.
4
4 44
5 36
6 73
7 8
8 4
9 145
10 13
11 13
12 219
13 127
14 187

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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