Mi Na Kim

118 total papers · 1.8k total citations
75 papers, 1.2k citations indexed

About

Mi Na Kim is a scholar working on Epidemiology, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Mi Na Kim has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Epidemiology, 52 papers in Hepatology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Mi Na Kim's work include Liver Disease Diagnosis and Treatment (60 papers), Hepatitis C virus research (35 papers) and Hepatitis B Virus Studies (33 papers). Mi Na Kim is often cited by papers focused on Liver Disease Diagnosis and Treatment (60 papers), Hepatitis C virus research (35 papers) and Hepatitis B Virus Studies (33 papers). Mi Na Kim collaborates with scholars based in South Korea, United States and China. Mi Na Kim's co-authors include Kwang‐Hyub Han, Seung Up Kim, Beom Kyung Kim, Sang Hoon Ahn, Seong Gyu Hwang, Jun Yong Park, Young Eun Chon, Kyu Sung Rim, Do Young Kim and Yeonjung Ha and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Mi Na Kim

67 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Mi Na Kim 865 746 124 109 106 75 1.2k
Carlo Saitta 676 0.8× 577 0.8× 178 1.4× 91 0.8× 61 0.6× 70 1.4k
Paul Manka 692 0.8× 618 0.8× 181 1.5× 80 0.7× 93 0.9× 59 1.1k
Wei‐Wen Su 644 0.7× 612 0.8× 165 1.3× 106 1.0× 87 0.8× 75 1.3k
Tetsuya Yasunaka 620 0.7× 581 0.8× 153 1.2× 82 0.8× 111 1.0× 71 1.1k
Makoto Kako 815 0.9× 832 1.1× 97 0.8× 112 1.0× 145 1.4× 89 1.4k
Won‐Mook Choi 636 0.7× 606 0.8× 229 1.8× 131 1.2× 51 0.5× 71 1.2k
Eileen L. Yoon 789 0.9× 704 0.9× 98 0.8× 76 0.7× 59 0.6× 105 1.1k
Maria Guarino 467 0.5× 410 0.5× 174 1.4× 171 1.6× 116 1.1× 60 990
Marco Biolato 452 0.5× 417 0.6× 135 1.1× 95 0.9× 95 0.9× 50 961
Young Eun Chon 1.2k 1.3× 1.0k 1.4× 53 0.4× 116 1.1× 73 0.7× 76 1.5k

Countries citing papers authored by Mi Na Kim

Since Specialization
Citations

This map shows the geographic impact of Mi 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 Mi 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 Mi Na Kim more than expected).

Fields of papers citing papers by Mi Na Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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