Hae Ri Na

117 total papers · 1.4k total citations
66 papers, 830 citations indexed

About

Hae Ri Na is a scholar working on Psychiatry and Mental health, Physiology and Rheumatology. According to data from OpenAlex, Hae Ri Na has authored 66 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Psychiatry and Mental health, 18 papers in Physiology and 11 papers in Rheumatology. Recurrent topics in Hae Ri Na's work include Dementia and Cognitive Impairment Research (35 papers), Alzheimer's disease research and treatments (15 papers) and Pelvic floor disorders treatments (9 papers). Hae Ri Na is often cited by papers focused on Dementia and Cognitive Impairment Research (35 papers), Alzheimer's disease research and treatments (15 papers) and Pelvic floor disorders treatments (9 papers). Hae Ri Na collaborates with scholars based in South Korea, United States and Ethiopia. Hae Ri Na's co-authors include Sung Tae Cho, Kyung Won Park, SangYun Kim, Seong Hye Choi, Moon Ho Park, Jee Hyang Jeong, Seong Hye Choi, Hyuntae Park, Jong‐Hwan Park and Dong Won Yang and has published in prestigious journals such as Journal of Alzheimer s Disease, Neuroscience Letters and Alzheimer s & Dementia.

In The Last Decade

Hae Ri Na

64 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Hae Ri Na 349 270 121 108 98 66 830
So Yeon Jeon 257 0.7× 355 1.3× 111 0.9× 57 0.5× 212 2.2× 66 1.0k
Tahir Kurtuluş Yoldaş 225 0.6× 214 0.8× 100 0.8× 125 1.2× 87 0.9× 64 1.0k
Martin Burkart 302 0.9× 136 0.5× 109 0.9× 133 1.2× 68 0.7× 48 857
Karl‐Heinz Tragl 369 1.1× 202 0.7× 56 0.5× 98 0.9× 92 0.9× 38 840
Aihong Zhou 356 1.0× 178 0.7× 155 1.3× 55 0.5× 130 1.3× 57 953
Fabricio Ferreira de Oliveira 439 1.3× 357 1.3× 96 0.8× 45 0.4× 66 0.7× 63 852
Kathryn Davis 283 0.8× 273 1.0× 113 0.9× 177 1.6× 57 0.6× 36 857
Priya Rajagopalan 281 0.8× 223 0.8× 86 0.7× 101 0.9× 131 1.3× 44 876
Emmanuelle Duron 229 0.7× 232 0.9× 90 0.7× 37 0.3× 102 1.0× 56 1.0k
Tomasz Gabryelewicz 302 0.9× 382 1.4× 98 0.8× 114 1.1× 269 2.7× 33 901

Countries citing papers authored by Hae Ri Na

Since Specialization
Citations

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

Fields of papers citing papers by Hae Ri Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae Ri Na. 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 Hae Ri Na. The network helps show where Hae Ri Na may publish in the future.

Co-authorship network of co-authors of Hae Ri Na

This figure shows the co-authorship network connecting the top 25 collaborators of Hae Ri Na. A scholar is included among the top collaborators of Hae Ri Na 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 Hae Ri Na. Hae Ri Na 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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