Jeong-Tae Kwon

9 total papers · 402 total citations
7 papers, 262 citations indexed

About

Jeong-Tae Kwon is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Jeong-Tae Kwon has authored 7 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Cognitive Neuroscience and 3 papers in Behavioral Neuroscience. Recurrent topics in Jeong-Tae Kwon's work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). Jeong-Tae Kwon is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (4 papers) and Stress Responses and Cortisol (3 papers). Jeong-Tae Kwon collaborates with scholars based in South Korea, United States and Singapore. Jeong-Tae Kwon's co-authors include Jin‐Hee Han, Hyung-Su Kim, Sheena A. Josselyn, Jieun Kim, Ji‐Eun Kim, George J Augustine, June-Seek Choi, Ryuichi Nakajima, Gloria B. Choi and Myriam Heiman and has published in prestigious journals such as Nature, Cell and Journal of Neuroscience.

In The Last Decade

Jeong-Tae Kwon

7 papers receiving 260 citations

Author Peers

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

Author Last Decade Papers Cites
Jeong-Tae Kwon 174 164 55 47 40 7 262
Christine Lykken 213 1.2× 226 1.4× 41 0.7× 62 1.3× 34 0.8× 6 322
Ludivine Therreau 192 1.1× 150 0.9× 76 1.4× 75 1.6× 30 0.8× 8 305
Jie Li 116 0.7× 156 1.0× 49 0.9× 72 1.5× 46 1.1× 13 285
Emily Cole 114 0.7× 149 0.9× 25 0.5× 51 1.1× 36 0.9× 10 318
Nancy R. Mack 107 0.6× 130 0.8× 47 0.9× 67 1.4× 62 1.6× 10 287
Aya Zucca 180 1.0× 155 0.9× 131 2.4× 61 1.3× 37 0.9× 10 329
Huiwen Zhu 155 0.9× 104 0.6× 118 2.1× 47 1.0× 34 0.8× 9 310
Lizeth K. Pedraza 213 1.2× 203 1.2× 35 0.6× 33 0.7× 70 1.8× 12 302
Xinkuan Xiang 181 1.0× 118 0.7× 54 1.0× 44 0.9× 31 0.8× 8 315
Sophie M. Grutzner 153 0.9× 143 0.9× 117 2.1× 39 0.8× 18 0.5× 6 329

Countries citing papers authored by Jeong-Tae Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Jeong-Tae Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong-Tae Kwon. 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 Jeong-Tae Kwon. The network helps show where Jeong-Tae Kwon may publish in the future.

Co-authorship network of co-authors of Jeong-Tae Kwon

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026