Nina Chien

18 total papers · 1.2k total citations
14 papers, 883 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 883 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, Laura D. Wandner, Tamara Halle, Elizabeth C. Hair, Jeremy C. Biesanz, Edward D. Lowe, Patricia L. East and Richard M. Clifford 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 813 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nina Chien 565 275 256 133 90 14 883
Kymberley K. Bennett 579 1.0× 144 0.5× 457 1.8× 96 0.7× 63 0.7× 31 1.0k
Amy Rathbun 762 1.3× 137 0.5× 166 0.6× 157 1.2× 41 0.5× 23 987
Janet J. Fritz 411 0.7× 468 1.7× 190 0.7× 143 1.1× 91 1.0× 17 916
Maike Malda 268 0.5× 220 0.8× 334 1.3× 62 0.5× 34 0.4× 19 784
Jacob Hibel 462 0.8× 173 0.6× 179 0.7× 117 0.9× 36 0.4× 19 707
Mai B. Phan 641 1.1× 153 0.6× 178 0.7× 299 2.2× 82 0.9× 13 1.0k
Ryan P. Grimm 360 0.6× 284 1.0× 322 1.3× 102 0.8× 67 0.7× 30 919
Melanie Moore 338 0.6× 219 0.8× 89 0.3× 264 2.0× 107 1.2× 25 865
Christopher Kliewer 301 0.5× 155 0.6× 251 1.0× 166 1.2× 57 0.6× 19 755
Cathy Huaqing Qi 575 1.0× 531 1.9× 386 1.5× 50 0.4× 35 0.4× 24 959

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026