Minki Kim

39 total papers · 772 total citations
25 papers, 490 citations indexed

About

Minki Kim is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Minki Kim has authored 25 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Minki Kim's work include Cancer, Hypoxia, and Metabolism (5 papers), Cancer Genomics and Diagnostics (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Minki Kim is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Cancer Genomics and Diagnostics (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Minki Kim collaborates with scholars based in South Korea, United States and Armenia. Minki Kim's co-authors include Sungsoon Fang, Hyeonhui Kim, Sun‐Kyoung Im, Vinay Prasad, Alyson Haslam, Junhwan Lee, Doohyun Kyung, Byoung-Dai Lee, Myoung Soo Kim and Chulmin Joo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Minki Kim

22 papers receiving 483 citations

Author Peers

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

Author						Papers	Cites
Minki Kim	206	74	72	70	58	25	490
Roshan Karki	175 0.8×	32 0.4×	84 1.2×	40 0.6×	50 0.9×	23	505
Robert Roth	314 1.5×	35 0.5×	47 0.7×	54 0.8×	33 0.6×	23	509
Wei-Feng Wang	179 0.9×	13 0.2×	50 0.7×	104 1.5×	67 1.2×	36	457
Ninh Doan	235 1.1×	31 0.4×	79 1.1×	58 0.8×	46 0.8×	20	409
Sivabal Sivaloganathan	103 0.5×	53 0.7×	37 0.5×	27 0.4×	118 2.0×	24	508
Song Jae Lee	227 1.1×	11 0.1×	35 0.5×	93 1.3×	34 0.6×	21	476
Dawei Guo	154 0.7×	12 0.2×	63 0.9×	43 0.6×	33 0.6×	39	500
Xin Zhao	204 1.0×	14 0.2×	37 0.5×	86 1.2×	47 0.8×	28	416
Lin Li	208 1.0×	42 0.6×	91 1.3×	122 1.7×	61 1.1×	39	534
Yan Gong	305 1.5×	75 1.0×	69 1.0×	28 0.4×	27 0.5×	17	494

Countries citing papers authored by Minki Kim

Since Specialization

Citations

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

Fields of papers citing papers by Minki Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minki Kim

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