María Monroy
Impact in
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- Media Influence and Health
- Applied Psychology top 10%
Papers in
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- Media Influence and Health 7
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- Animal and Plant Science Education 2
- Psychological Well-being and Life Satisfaction 1
- Co-authors
- Dacher Keltner (12 shared papers)Craig L. Anderson (5 shared papers)Dante D. Dixson (2 shared papers)Yang Bai (2 shared papers)Alan Cowen (3 shared papers)Serena Chen (1 shared paper)Verónica Benet‐Martínez (1 shared paper)Shanmukh V. Kamble (1 shared paper)
- Journals
- Emotion (6 papers)Journal of Personality (2 papers)Scientific Reports (2 papers)Journal of Personality and Social Psychology (1 paper)Perspectives on Psychological Science (1 paper)
- Partner nations
- United StatesChinaMalaysia
In The Last Decade
María Monroy
13 papers receiving 490 citations
María Monroy's Hit Papers
Peers
Comparison fields: 5 of 68
- Literature and Literary Theory 216
- Applied Psychology 45
- Social Psychology 179
- Experimental and Cognitive Psychology 97
- Health, Toxicology and Mutagenesis 66
Countries citing papers authored by María Monroy
This map shows the geographic impact of María Monroy'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 María Monroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Monroy more than expected).
Fields of papers citing papers by María Monroy
This network shows the impact of papers produced by María Monroy. 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 María Monroy. The network helps show where María Monroy may publish in the future.
Co-authors
The 25 scholars most cited alongside María Monroy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 140 | |
| 2 | Awe as a Pathway to Mental and Physical Health Hit paper breakdown → | 2022 | 82 |
| 3 | 2021 | 67 | |
| 4 | 2019 | 63 | |
| 5 | 2019 | 44 | |
| 6 | 2017 | 26 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2023 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About María Monroy
María Monroy is a scholar working on Literature and Literary Theory, Social Psychology, Clinical Psychology, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 15 papers that have together received 503 indexed citations. Recurring topics across this work include Media Influence and Health (7 papers), Impact of Technology on Adolescents (2 papers), Animal and Plant Science Education (2 papers), COVID-19 and Mental Health (2 papers), Psychological Well-being and Life Satisfaction (1 paper), Behavioral Health and Interventions (1 paper), Face Recognition and Perception (1 paper) and Media, Gender, and Advertising (1 paper). The work is most often cited by research in Literature and Literary Theory (216 citations), Applied Psychology (45 citations), Social Psychology (179 citations), Experimental and Cognitive Psychology (97 citations) and Health, Toxicology and Mutagenesis (66 citations). María Monroy has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Dacher Keltner, Craig L. Anderson, Dante D. Dixson, Yang Bai, Alan Cowen, Serena Chen, Verónica Benet‐Martínez, Shanmukh V. Kamble, Daniel T. Cordaro and Rui Sun. Their work appears in journals such as Emotion, Journal of Personality, Scientific Reports, Journal of Personality and Social Psychology and Perspectives on 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.