Jimi Kim

1.0k total citations
11 papers, 365 citations indexed

About

Jimi Kim is a scholar working on Molecular Biology, Cancer Research and Strategy and Management. According to data from OpenAlex, Jimi Kim has authored 11 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Strategy and Management. Recurrent topics in Jimi Kim's work include MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (3 papers) and RNA modifications and cancer (2 papers). Jimi Kim is often cited by papers focused on MicroRNA in disease regulation (4 papers), RNA Interference and Gene Delivery (3 papers) and RNA modifications and cancer (2 papers). Jimi Kim collaborates with scholars based in South Korea, United States and Ethiopia. Jimi Kim's co-authors include Jaewon Min, Hyun‐Sook Lee, V. Narry Kim, Haedong Kim, Eunhee Choi, Ji Yoon Choi, Jongmoo Jay Choi, Hoje Jo, Hyeshik Chang and Kijun Kim and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Jimi Kim

10 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jimi Kim South Korea 7 280 116 82 45 31 11 365
Madiha Kanwal Pakistan 9 167 0.6× 88 0.8× 9 0.1× 17 0.4× 11 0.4× 16 324
Cecilia Lindholm Sweden 12 185 0.7× 20 0.2× 54 0.7× 12 0.3× 5 0.2× 23 345
Nathan Miller United States 8 133 0.5× 105 0.9× 18 0.2× 11 0.2× 4 0.1× 18 331
Wout Lamers Netherlands 8 327 1.2× 24 0.2× 28 0.3× 10 0.2× 11 469
Francesca Marino Italy 11 521 1.9× 127 1.1× 43 0.5× 2 0.0× 21 0.7× 13 649
Martin Gregor Czechia 8 137 0.5× 6 0.1× 18 0.2× 19 0.4× 28 0.9× 40 328
Wan Yee Leong United States 6 192 0.7× 27 0.2× 50 0.6× 31 0.7× 9 301
Chris Fröhlich Germany 6 381 1.4× 14 0.1× 101 1.2× 4 0.1× 7 482

Countries citing papers authored by Jimi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jimi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jimi Kim. A scholar is included among the top collaborators of Jimi 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 Jimi Kim. Jimi Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Kang, Josephine, Kyumin Kim, Shaoqing Ju, et al.. (2025). T-cell engaging bispecific outer membrane vesicles (BiTE-OMV) for targeted prostate cancer immunotherapy. Journal of Drug Delivery Science and Technology. 107. 106762–106762. 1 indexed citations
2.
Kim, Jimi, Youngran Park, Dae Wui Yoon, et al.. (2025). SARS-CoV-2 Nsp2 recruits GIGYF2 near viral replication sites and supports viral protein production. Nucleic Acids Research. 53(14).
3.
Kim, Jimi. (2024). Circular RNAs: Novel Players in Cancer Mechanisms and Therapeutic Strategies. International Journal of Molecular Sciences. 25(18). 10121–10121. 8 indexed citations
4.
Kim, Jimi. (2023). Nucleic Acid-Based Approaches to Tackle KRAS Mutant Cancers. International Journal of Molecular Sciences. 24(23). 16933–16933. 4 indexed citations
5.
Kim, Jimi, et al.. (2023). Prediction of complications in diabetes mellitus using machine learning models with transplanted topic model features. Biomedical Engineering Letters. 14(1). 163–171. 2 indexed citations
6.
Kim, Haedong, Jimi Kim, Sha Yu, et al.. (2020). A Mechanism for microRNA Arm Switching Regulated by Uridylation. Molecular Cell. 78(6). 1224–1236.e5. 60 indexed citations
7.
Choi, Jongmoo Jay, et al.. (2018). Business Groups and Corporate Social Responsibility. Journal of Business Ethics. 153(4). 931–954. 56 indexed citations
8.
Kim, Haedong, et al.. (2018). Bias-minimized quantification of microRNA reveals widespread alternative processing and 3′ end modification. Nucleic Acids Research. 47(5). 2630–2640. 71 indexed citations
9.
Zhong, Rui, Jimi Kim, Hyun Seok Kim, et al.. (2014). Computational detection and suppression of sequence-specific off-target phenotypes from whole genome RNAi screens. Nucleic Acids Research. 42(13). 8214–8222. 20 indexed citations
10.
Min, Jaewon, Eun Shik Choi, Jimi Kim, et al.. (2011). The Breast Cancer Susceptibility Gene BRCA2 Is Required for the Maintenance of Telomere Homeostasis. Journal of Biological Chemistry. 287(7). 5091–5101. 36 indexed citations
11.
Choi, Eunhee, et al.. (2009). BubR1 acetylation at prometaphase is required for modulating APC/C activity and timing of mitosis. The EMBO Journal. 28(14). 2077–2089. 107 indexed citations

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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