Ji Hyun Lee

31 total papers · 1.3k total citations
19 papers, 894 citations indexed

About

Ji Hyun Lee is a scholar working on Health, Clinical Psychology and Neuropsychology and Physiological Psychology. According to data from OpenAlex, Ji Hyun Lee has authored 19 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, 7 papers in Clinical Psychology and 5 papers in Neuropsychology and Physiological Psychology. Recurrent topics in Ji Hyun Lee's work include Health disparities and outcomes (10 papers), Aging and Gerontology Research (5 papers) and COVID-19 and Mental Health (4 papers). Ji Hyun Lee is often cited by papers focused on Health disparities and outcomes (10 papers), Aging and Gerontology Research (5 papers) and COVID-19 and Mental Health (4 papers). Ji Hyun Lee collaborates with scholars based in United States, France and Ireland. Ji Hyun Lee's co-authors include Martina Luchetti, Angelina R. Sutin, Amanda A. Sesker, Antonio Terracciano, Damaris Aschwanden, Jason E. Strickhouser, Yannick Stéphan, William J. Chopik, Lawrence B. Schiamberg and Yijie Wang and has published in prestigious journals such as PLoS ONE, American Psychologist and Psychological Medicine.

In The Last Decade

Ji Hyun Lee

16 papers receiving 878 citations

Hit Papers

The trajectory of lonelin... 2020 2026 2022 2024 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Ji Hyun Lee 535 372 321 179 128 19 894
Phoebe E. McKenna-Plumley 434 0.8× 282 0.8× 301 0.9× 140 0.8× 115 0.9× 18 817
Emily McGlinchey 607 1.1× 305 0.8× 279 0.9× 171 1.0× 138 1.1× 26 911
María del Sequeros Pedroso‐Chaparro 398 0.7× 285 0.8× 244 0.8× 165 0.9× 107 0.8× 30 733
Jingyi Wang 364 0.7× 321 0.9× 272 0.8× 223 1.2× 127 1.0× 48 810
Sharon Avidor 410 0.8× 232 0.6× 272 0.8× 131 0.7× 99 0.8× 29 725
Shoshi Keisari 440 0.8× 180 0.5× 332 1.0× 87 0.5× 91 0.7× 44 794
Antonia M. Werner 493 0.9× 237 0.6× 248 0.8× 259 1.4× 128 1.0× 43 943
Laura Castro‐Schilo 385 0.7× 193 0.5× 272 0.8× 151 0.8× 173 1.4× 24 1.0k
Heather R. Walen 232 0.4× 313 0.8× 311 1.0× 230 1.3× 263 2.1× 10 937
Özkan Çıkrıkçı 411 0.8× 254 0.7× 359 1.1× 148 0.8× 356 2.8× 40 1.0k

Countries citing papers authored by Ji Hyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ji Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji Hyun Lee. 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 Ji Hyun Lee. The network helps show where Ji Hyun Lee may publish in the future.

Co-authorship network of co-authors of Ji Hyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Hyun Lee. A scholar is included among the top collaborators of Ji Hyun Lee 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 Ji Hyun Lee. Ji Hyun Lee 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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