Jin Hui Joo

73 total papers · 1.8k total citations
40 papers, 1.2k citations indexed

About

Jin Hui Joo is a scholar working on General Health Professions, Social Psychology and Clinical Psychology. According to data from OpenAlex, Jin Hui Joo has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in General Health Professions, 12 papers in Social Psychology and 10 papers in Clinical Psychology. Recurrent topics in Jin Hui Joo's work include Mental Health Treatment and Access (12 papers), Mental Health and Patient Involvement (6 papers) and Functional Brain Connectivity Studies (6 papers). Jin Hui Joo is often cited by papers focused on Mental Health Treatment and Access (12 papers), Mental Health and Patient Involvement (6 papers) and Functional Brain Connectivity Studies (6 papers). Jin Hui Joo collaborates with scholars based in United States and South Africa. Jin Hui Joo's co-authors include Kyounghae Kim, Janet S. Choi, Eunsuk Choi, Frank R. Lin, Carrie L. Nieman, Hae‐Ra Han, Laura N. Gitlin, Charles F. Reynolds, Joseph J. Gallo and Benoit H. Mulsant and has published in prestigious journals such as American Journal of Public Health, Journal of the American Geriatrics Society and International Journal of Obesity.

In The Last Decade

Jin Hui Joo

38 papers receiving 1.1k citations

Hit Papers

Effects of Community-Base... 2016 2026 2019 2022 2016 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jin Hui Joo 378 195 179 176 175 40 1.2k
Brenna N. Renn 341 0.9× 233 1.2× 197 1.1× 132 0.8× 130 0.7× 53 1.2k
Shahrzad Mavandadi 333 0.9× 312 1.6× 158 0.9× 175 1.0× 195 1.1× 64 1.4k
Moira Sim 359 0.9× 296 1.5× 199 1.1× 120 0.7× 259 1.5× 59 1.3k
Ekaterina Sadikova 455 1.2× 362 1.9× 186 1.0× 169 1.0× 115 0.7× 42 1.4k
Hannah König 251 0.7× 253 1.3× 162 0.9× 111 0.6× 327 1.9× 32 1.3k
Annemarie M. Kolk 354 0.9× 282 1.4× 184 1.0× 68 0.4× 252 1.4× 28 1.4k
Kathryn Magruder-Habib 237 0.6× 197 1.0× 187 1.0× 193 1.1× 345 2.0× 20 1.0k
Marlous Tuithof 266 0.7× 337 1.7× 234 1.3× 158 0.9× 166 0.9× 32 976
Thomas Gunzelmann 455 1.2× 304 1.6× 140 0.8× 89 0.5× 392 2.2× 44 1.2k
Amy Ronaldson 211 0.6× 282 1.4× 318 1.8× 166 0.9× 104 0.6× 64 1.4k

Countries citing papers authored by Jin Hui Joo

Since Specialization
Citations

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

Fields of papers citing papers by Jin Hui Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Hui Joo. 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 Jin Hui Joo. The network helps show where Jin Hui Joo may publish in the future.

Co-authorship network of co-authors of Jin Hui Joo

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

All Works

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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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