Ji Eun Kim

33 total papers · 889 total citations
21 papers, 737 citations indexed

About

Ji Eun Kim is a scholar working on Molecular Biology, Cognitive Neuroscience and Cell Biology. According to data from OpenAlex, Ji Eun Kim has authored 21 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 4 papers in Cell Biology. Recurrent topics in Ji Eun Kim's work include Cellular Mechanics and Interactions (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurobiology of Language and Bilingualism (2 papers). Ji Eun Kim is often cited by papers focused on Cellular Mechanics and Interactions (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neurobiology of Language and Bilingualism (2 papers). Ji Eun Kim collaborates with scholars based in South Korea, United States and Bahrain. Ji Eun Kim's co-authors include Hyung Wook Nam, Jung‐Won Ju, Hoe Suk Kim, Won Ho Yang, Yu Sam Kim, Jin Won Cho, Suki Kang, Hyun Ho Han, Baek Gil Kim and Nam Hoon Cho and has published in prestigious journals such as Nature Cell Biology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Ji Eun Kim

20 papers receiving 732 citations

Author Peers

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

Author Last Decade Papers Cites
Ji Eun Kim 537 195 168 115 101 21 737
Melanie Wong 416 0.8× 105 0.5× 159 0.9× 43 0.4× 113 1.1× 23 826
Christine Huppertz 479 0.9× 153 0.8× 91 0.5× 122 1.1× 49 0.5× 20 906
Manveen K. Sethi 568 1.1× 139 0.7× 122 0.7× 134 1.2× 104 1.0× 24 756
Lucy H. Elliott 491 0.9× 89 0.5× 113 0.7× 45 0.4× 127 1.3× 12 782
Alexandre Patenaude 396 0.7× 90 0.5× 109 0.6× 51 0.4× 81 0.8× 22 657
Hadas Reuveni 600 1.1× 74 0.4× 58 0.3× 97 0.8× 68 0.7× 27 816
John A. Mitchell 405 0.8× 119 0.6× 75 0.4× 30 0.3× 67 0.7× 18 777
Jerlyn Beltman 597 1.1× 77 0.4× 74 0.4× 57 0.5× 63 0.6× 11 815
Matthew Mahoney 406 0.8× 129 0.7× 219 1.3× 42 0.4× 21 0.2× 17 819
Shaheen Khan 317 0.6× 184 0.9× 125 0.7× 33 0.3× 82 0.8× 14 725

Countries citing papers authored by Ji Eun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ji Eun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Eun Kim

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