Daniel C. Molden
- Social Psychology top 0.5%
- Applied Psychology top 0.2%
- Sociology and Political Science top 1%
- Experimental and Cognitive Psychology top 1%
- Cognitive Neuroscience top 5%
- Co-authors
- Carol S. DweckE. Tory HigginsLorraine Chen IdsonScott SpiegelAntonio L. FreitasGale LucasDavid B. MieleChin Ming Hui
- Topics
- Behavioral Health and Interventions (25 papers)Social and Intergroup Psychology (23 papers)Cultural Differences and Values (11 papers)
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Daniel C. Molden
51 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Social Psychology 1.7k
- Applied Psychology 1.4k
- Sociology and Political Science 1.3k
- Experimental and Cognitive Psychology 993
- Cognitive Neuroscience 482
Countries citing papers authored by Daniel C. Molden
This map shows the geographic impact of Daniel C. Molden'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 Daniel C. Molden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel C. Molden more than expected).
Fields of papers citing papers by Daniel C. Molden
This network shows the impact of papers produced by Daniel C. Molden. 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 Daniel C. Molden. The network helps show where Daniel C. Molden may publish in the future.
Co-authorship network of co-authors of Daniel C. Molden
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Molden. A scholar is included among the top collaborators of Daniel C. Molden 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 Daniel C. Molden. Daniel C. Molden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 92 | |
| 3 | 12 | |
| 4 | 31 | |
| 5 | Understanding Priming Effects in Social Psychology | 38 |
| 6 | 42 | |
| 7 | 51 | |
| 8 | 190 | |
| 9 | 23 | |
| 10 | 109 | |
| 11 | 48 | |
| 12 | 231 | |
| 13 | 12 | |
| 14 | Regulatory Focus and Romantic Alternatives | 14 |
| 15 | 40 | |
| 16 | Motivations for promotion and prevention | 124 |
| 17 | Finding "Meaning" in Psychology: A Lay Theories Approach to Self-Regulation, Social Perception, and Social Development.breakdown → | 624 |
| 18 | Transfer of value from fit.breakdown → | 509 |
| 19 | 236 | |
| 20 | 11 |
About Daniel C. Molden
Daniel C. Molden is a scholar working on Applied Psychology, General Decision Sciences and Social Psychology, having authored 51 papers that have together received 3.8k indexed citations. Recurring topics across this work include Behavioral Health and Interventions (25 papers), Social and Intergroup Psychology (23 papers) and Cultural Differences and Values (11 papers). The work is most often cited by research in Applied Psychology (1.4k citations), General Decision Sciences (282 citations) and Social Psychology (1.7k citations). Daniel C. Molden has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Carol S. Dweck, E. Tory Higgins, Lorraine Chen Idson, Scott Spiegel, Antonio L. Freitas, Gale Lucas, David B. Miele, Chin Ming Hui, Eli J. Finkel and Wendi L. Gardner. Their work appears in journals such as Journal of Personality and Social Psychology, American Psychologist and Psychological Science.
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.