María Monroy

730 citations
15 papers · 478 indexed · 1 hit paper · h-index 10
Topics
Media Influence and Health (8 papers)COVID-19 and Mental Health (2 papers)Digital Marketing and Social Media (2 papers)
Partner nations
United StatesChinaSpain

In The Last Decade

María Monroy

13 papers receiving 465 citations

Hit Papers

Awe as a Pathway to Mental and Physical Health20222026202320242022204060

Peers

María Monroy
Comparison fields: 5 of 70
  • Literature and Literary Theory 210
  • Social Psychology 180
  • Sociology and Political Science 138
  • Experimental and Cognitive Psychology 102
  • Clinical Psychology 75
Replace Ziyan Yang with:
Ziyan Yang China
Christopher D. Rodeheffer United States
Kirill Fayn Australia
Rebecca N. H. de Leeuw Netherlands
Gunnhild Johnsen Hjetland Norway
Georg Hosoya Germany
Kristina M. DeNeve United States
Shana Cole United States
Idit Shalev Israel
Nicolas Koranyi Germany
María Monroy relative to Ziyan Yang China Ziyan Yang's profile →
Citations per field
00.5×3.1×
Ziyan Yang · 1×
Citations per year

Countries citing papers authored by María Monroy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of María Monroy

This figure shows the co-authorship network connecting the top 25 collaborators of María Monroy. A scholar is included among the top collaborators of María Monroy 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 María Monroy. María Monroy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 1
3 10
4 18
5 15
6 6
7
Awe as a Pathway to Mental and Physical Healthbreakdown →
72
8 64
9 2
10 17
11 9
12 40
13 62
14 136
15 26

About María Monroy

María Monroy is a scholar working on Literature and Literary Theory, Developmental Biology and Applied Psychology, having authored 15 papers that have together received 478 indexed citations. Recurring topics across this work include Media Influence and Health (8 papers), COVID-19 and Mental Health (2 papers) and Digital Marketing and Social Media (2 papers). The work is most often cited by research in Literature and Literary Theory (210 citations), Social Psychology (180 citations) and Applied Psychology (45 citations). María Monroy has collaborated with scholars based in United States, China and Spain. 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 Journal of Personality and Social Psychology, Scientific Reports and Journal of Personality.

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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