Jee Hyun Yi

47 total papers · 978 total citations
40 papers, 763 citations indexed

About

Jee Hyun Yi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Jee Hyun Yi has authored 40 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 12 papers in Physiology. Recurrent topics in Jee Hyun Yi's work include Neuroscience and Neuropharmacology Research (25 papers), Alzheimer's disease research and treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Jee Hyun Yi is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Alzheimer's disease research and treatments (11 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Jee Hyun Yi collaborates with scholars based in South Korea, United Kingdom and United States. Jee Hyun Yi's co-authors include Jong Hoon Ryu, Kwangwook Cho, Se Jin Park, Daniel J. Whitcomb, Dong Hyun Kim, Ki Soon Shin, Thomas M. Piers, Philip Regan, Shin Jung Kang and Dong‐Hyun Kim and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Jee Hyun Yi

38 papers receiving 759 citations

Author Peers

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

Author Last Decade Papers Cites
Jee Hyun Yi 278 271 242 146 113 40 763
Asadollah Zarifkar 194 0.7× 235 0.9× 138 0.6× 177 1.2× 90 0.8× 41 691
Н. А. Лазарева 255 0.9× 423 1.6× 194 0.8× 195 1.3× 147 1.3× 52 811
Tuane Bazanella Sampaio 235 0.8× 152 0.6× 175 0.7× 100 0.7× 104 0.9× 44 820
Puneet Rinwa 212 0.8× 293 1.1× 267 1.1× 117 0.8× 73 0.6× 22 872
Ansab Akhtar 280 1.0× 291 1.1× 314 1.3× 163 1.1× 108 1.0× 30 871
Ingrid Y. Liu 166 0.6× 211 0.8× 288 1.2× 100 0.7× 87 0.8× 29 846
İpek Komşuoğlu Çelikyurt 256 0.9× 162 0.6× 228 0.9× 92 0.6× 107 0.9× 46 856
Susanna Kemppainen 262 0.9× 388 1.4× 272 1.1× 182 1.2× 124 1.1× 19 860
Miroljub Popović 208 0.7× 244 0.9× 119 0.5× 141 1.0× 80 0.7× 38 676
Yotam Sagi 418 1.5× 196 0.7× 282 1.2× 87 0.6× 235 2.1× 23 875

Countries citing papers authored by Jee Hyun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jee Hyun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jee Hyun Yi

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