Yona Kim

25 total papers · 1.8k total citations
16 papers, 738 citations indexed

About

Yona Kim is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Yona Kim has authored 16 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Yona Kim's work include Glioma Diagnosis and Treatment (4 papers), Mesenchymal stem cell research (2 papers) and Cancer-related molecular mechanisms research (2 papers). Yona Kim is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Mesenchymal stem cell research (2 papers) and Cancer-related molecular mechanisms research (2 papers). Yona Kim collaborates with scholars based in South Korea, United States and Ethiopia. Yona Kim's co-authors include Sun Ha Paek, Hyo Eun Moon, Sung‐Hye Park, Hyewon Youn, Mihyeon Bae, Young Hun Jeong, Dong‐Woo Cho, Yeong‐Jin Choi, Jinah Jang and Kyung Shin Kang and has published in prestigious journals such as Food and Chemical Toxicology, PROTEOMICS and Nature Biomedical Engineering.

In The Last Decade

Yona Kim

16 papers receiving 730 citations

Hit Papers

A bioprinted human-gliobl... 2019 2026 2021 2023 2019 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yona Kim 443 186 185 157 92 16 738
Dikla Ben‐Shushan 202 0.5× 192 1.0× 318 1.7× 73 0.5× 26 0.3× 21 866
Joachim Luginbühl 284 0.6× 87 0.5× 196 1.1× 79 0.5× 29 0.3× 13 726
Jessica Hoarau-Véchot 259 0.6× 218 1.2× 229 1.2× 29 0.2× 33 0.4× 13 630
Gowri Manohari Balachander 371 0.8× 277 1.5× 224 1.2× 22 0.1× 28 0.3× 18 755
Delyan P. Ivanov 222 0.5× 169 0.9× 311 1.7× 95 0.6× 11 0.1× 17 620
Kyungmin Son 479 1.1× 218 1.2× 176 1.0× 23 0.1× 32 0.3× 16 692
Marta F Estrada 351 0.8× 348 1.9× 236 1.3× 19 0.1× 26 0.3× 22 823
Song Ih Ahn 366 0.8× 50 0.3× 149 0.8× 41 0.3× 27 0.3× 17 648
Yoshitaka Sei 351 0.8× 88 0.5× 186 1.0× 34 0.2× 12 0.1× 15 645
Junghwa Cha 254 0.6× 148 0.8× 231 1.2× 123 0.8× 7 0.1× 32 724

Countries citing papers authored by Yona Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yona Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yona Kim

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