Chitat Chan

57 papers receiving 989 citations

Peers

Chitat Chan
Comparison fields: 5 of 135
  • Public Administration 124
  • Applied Psychology 82
  • Speech and Hearing 76
  • Clinical Psychology 240
  • Complementary and alternative medicine 90
Replace Shu‐Ping Chen with:
Shu‐Ping Chen Canada
Michael Schwartz United States
Yunyu Xiao United States
Akihito Kamata United States
Brian Castellani United States
Brenda Curtis United States
Anne Moorhead United Kingdom
Xiaomei Wang China
Elena A. Erosheva United States
Ya-Ping Hsieh United States
Chitat Chan relative to Shu‐Ping Chen Canada Shu‐Ping Chen's profile →
Citations per field
00.5×10×15×20×24.8×
Shu‐Ping Chen · 1×
Citations per year

Countries citing papers authored by Chitat Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chitat Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004142
2 201580
3 201549
4 201948
5 201945
6 200641
7 201640
8 201837
9 201836
10 201536
11 201736
12 201933
13 200232
14 202228
15 201626
16 201320
17 202020
18 201820
19 202019
20 201918

About Chitat Chan

Chitat Chan is a scholar working on Clinical Psychology, Sociology and Political Science, Speech and Hearing, Public Administration and Psychiatry and Mental health, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Social Work Education and Practice (9 papers), Psychosomatic Disorders and Their Treatments (9 papers), Digital Storytelling and Education (7 papers), Impact of Technology on Adolescents (6 papers), Youth Development and Social Support (6 papers), Social Media and Politics (6 papers), Digital Mental Health Interventions (6 papers) and Counseling, Therapy, and Family Dynamics (5 papers). The work is most often cited by research in Public Administration (124 citations), Applied Psychology (82 citations), Speech and Hearing (76 citations), Clinical Psychology (240 citations) and Complementary and alternative medicine (90 citations). Chitat Chan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Michael J. Holosko, Hong Wang Fung, Colin A. Ross, K.W. Chung, Ricky Ngok‐Shun Wong, Daisy Y.L. Wong, Kuen Chan, Melanie Sage, Steven Sek‐yum Ngai and Wai Tong Chien. Their work appears in journals such as Research on Social Work Practice, Journal of Social Work Practice, Journal of Trauma & Dissociation, Journal of Sound and Vibration and Children and Youth Services Review.

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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