Frances L. Wang

24 papers receiving 271 citations

Peers

Frances L. Wang
Comparison fields: 5 of 43
  • Clinical Psychology 167
  • Applied Psychology 18
  • Experimental and Cognitive Psychology 45
  • Psychiatry and Mental health 40
  • Behavioral Neuroscience 9
Replace Steven William Kasparek with:
Steven William Kasparek United States
Ana C. DiRago United States
Kaitlin Bountress United States
Carol Newall Australia
Nicole N. Capriola-Hall United States
Tiffany D. James United States
Jennifer A. Poon United States
Laura Hennefield United States
Mahmud A. Sehwail United States
Sanne B. Geeraerts Netherlands
Frances L. Wang relative to Steven William Kasparek United States Steven William Kasparek's profile →
Citations per field
00.5×4.8×
Steven William Kasparek · 1×
Citations per year

Countries citing papers authored by Frances L. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Frances L. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances L. Wang. 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 Frances L. Wang. The network helps show where Frances L. Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201542
2 201540
3 201637
4 201726
5 201916
6 201214
7 201914
8 201713
9 202013
10 201610
11 20189
12 20187
13 20175
14 20165
15 20135
16 20154
17 20233
18 20223
19 20233
20 20223

About Frances L. Wang

Frances L. Wang is a scholar working on Clinical Psychology, Psychiatry and Mental health, Epidemiology, Experimental and Cognitive Psychology and Social Psychology, having authored 27 papers that have together received 279 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (14 papers), Attention Deficit Hyperactivity Disorder (10 papers), Substance Abuse Treatment and Outcomes (5 papers), Behavioral Health and Interventions (3 papers), Cognitive Abilities and Testing (3 papers), Early Childhood Education and Development (3 papers), Bullying, Victimization, and Aggression (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Clinical Psychology (167 citations), Applied Psychology (18 citations), Experimental and Cognitive Psychology (45 citations), Psychiatry and Mental health (40 citations) and Behavioral Neuroscience (9 citations). Frances L. Wang has collaborated with scholars based in United States. Frequent co-authors include Laurie Chassin, Tracy L. Spinrad, Nancy Eisenberg, Kathryn Lemery‐Chalfant, Carlos Valiente, Daniel S. Shaw, Kit K. Elam, Kaitlin Bountress, Melvin N. Wilson and Chardée A. Galán. Their work appears in journals such as Development and Psychopathology, Alcoholism Clinical and Experimental Research, Journal of Abnormal Child Psychology, Addiction Research & Theory and European Child & Adolescent Psychiatry.

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