Eun Na Kim

80 total papers · 818 total citations
45 papers, 553 citations indexed

About

Eun Na Kim is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Eun Na Kim has authored 45 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Eun Na Kim's work include Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (4 papers) and Genomics and Rare Diseases (3 papers). Eun Na Kim is often cited by papers focused on Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (4 papers) and Genomics and Rare Diseases (3 papers). Eun Na Kim collaborates with scholars based in South Korea, United States and Belarus. Eun Na Kim's co-authors include Chong Jai Kim, Yeji Kim, Tae‐Young Kim, Sung Wook Hwang, Mi‐Na Kweon, Seungil Kim, Su-Hyun Lee, Yong‐Soo Lee, Bo Hyun Yoon and Su Jung Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Journal of Immunology.

In The Last Decade

Eun Na Kim

42 papers receiving 544 citations

Author Peers

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

Author Last Decade Papers Cites
Eun Na Kim 160 122 97 91 91 45 553
Patricia Castillo 78 0.5× 135 1.1× 61 0.6× 83 0.9× 91 1.0× 30 605
Yijuan Sun 104 0.7× 107 0.9× 92 0.9× 78 0.9× 53 0.6× 41 669
Neslihan Tekın 120 0.8× 124 1.0× 71 0.7× 128 1.4× 157 1.7× 60 574
Sheon Mary 126 0.8× 62 0.5× 88 0.9× 45 0.5× 90 1.0× 30 664
Tine Iskov Kopp 142 0.9× 64 0.5× 44 0.5× 49 0.5× 73 0.8× 42 667
Peng Ding 230 1.4× 62 0.5× 67 0.7× 68 0.7× 58 0.6× 40 522
Hada C. Macher 133 0.8× 56 0.5× 53 0.5× 121 1.3× 151 1.7× 31 566
Shuai Ma 134 0.8× 119 1.0× 39 0.4× 94 1.0× 96 1.1× 37 666
Meharban Singh 150 0.9× 153 1.3× 36 0.4× 247 2.7× 116 1.3× 62 681
Lidia Hirnle 127 0.8× 57 0.5× 38 0.4× 129 1.4× 112 1.2× 49 657

Countries citing papers authored by Eun Na Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eun Na Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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