Jeesoo Kim

1.9k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

Jeesoo Kim is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Jeesoo Kim has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cell Biology and 6 papers in Immunology. Recurrent topics in Jeesoo Kim's work include Biotin and Related Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and Advanced Neural Network Applications (4 papers). Jeesoo Kim is often cited by papers focused on Biotin and Related Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and Advanced Neural Network Applications (4 papers). Jeesoo Kim collaborates with scholars based in South Korea, Puerto Rico and United States. Jeesoo Kim's co-authors include Nojun Kwak, Sangdoo Yun, Byeongho Heo, Hyojin Park, Jin Young Choi, Jisoo Jeong, Seungeui Lee, Jong‐Seo Kim, V. Narry Kim and Yeon Choi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Molecular Cell.

In The Last Decade

Jeesoo Kim

31 papers receiving 1.1k citations

Hit Papers

A Comprehensive Overhaul of Feature Distillation 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Comprehensive Overhaul of Feature Distillation
    2019 357 citations Jeesoo Kim, Nojun Kwak et al. Seoul National University Open Repository (Seoul National University) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeesoo Kim South Korea 16 448 374 362 101 77 35 1.2k
Dongyoung Kim South Korea 19 295 0.7× 295 0.8× 197 0.5× 64 0.6× 32 0.4× 63 1.1k
Bing Yang China 13 247 0.6× 272 0.7× 120 0.3× 32 0.3× 36 0.5× 42 1.2k
Yuqiang Chen China 15 249 0.6× 376 1.0× 400 1.1× 176 1.7× 21 0.3× 50 1.3k
Jinyu Yang China 18 271 0.6× 487 1.3× 313 0.9× 66 0.7× 31 0.4× 43 1.1k
Daichao Wu China 17 122 0.3× 413 1.1× 551 1.5× 63 0.6× 24 0.3× 37 1.6k
Tun‐Wen Pai Taiwan 19 213 0.5× 446 1.2× 76 0.2× 70 0.7× 37 0.5× 116 1.1k
Giosuè Lo Bosco Italy 17 83 0.2× 559 1.5× 173 0.5× 95 0.9× 21 0.3× 76 1.1k
Xufeng Han China 12 1.2k 2.6× 355 0.9× 355 1.0× 106 1.0× 21 0.3× 24 2.1k
Meiyan Huang China 20 597 1.3× 316 0.8× 291 0.8× 56 0.6× 41 0.5× 69 1.5k
Limin Li China 15 78 0.2× 472 1.3× 145 0.4× 69 0.7× 127 1.6× 84 1.0k

Countries citing papers authored by Jeesoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeesoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeesoo Kim

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

All Works

20 of 20 papers shown
1.
Kim, Jinuk, et al.. (2025). Structural insights into GPCR signaling activated by peptide ligands: from molecular mechanism to therapeutic application. Experimental & Molecular Medicine. 57(7). 1467–1481. 2 indexed citations
2.
Kim, Tae Hyun, et al.. (2025). Enhancement of CEP215 dynamics for spindle pole assembly during mitosis. Journal of Cell Science. 138(10). 2 indexed citations
3.
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).
4.
Kim, Jeesoo, Na‐Lee Ka, Ji‐Eun Kim, et al.. (2025). Secreted LGALS3BP facilitates distant metastasis of breast cancer. Breast Cancer Research. 27(1). 4–4. 2 indexed citations
5.
Lee, Namseok, Jeesoo Kim, Sujin Kim, et al.. (2025). Cellular dsRNA interactome captured by K1 antibody reveals the regulatory map of exogenous RNA sensing. Communications Biology. 8(1). 389–389.
6.
Kim, Jeesoo, et al.. (2024). Proteome-wide Characterization and Pathophysiology Correlation in Non-ischemic Cardiomyopathies. Korean Circulation Journal. 54(8). 468–468. 1 indexed citations
7.
Choi, Yeon, et al.. (2024). Time-resolved profiling of RNA binding proteins throughout the mRNA life cycle. Molecular Cell. 84(9). 1764–1782.e10. 20 indexed citations
8.
9.
Kim, Jeesoo, et al.. (2023). In vivo profiling of the Zucchini proximal proteome in the Drosophila ovary. Development. 150(4). 3 indexed citations
10.
Jung, Minkyo, Jeesoo Kim, Wanda Christ, et al.. (2023). Super-resolution proximity labeling reveals anti-viral protein network and its structural changes against SARS-CoV-2 viral proteins. Cell Reports. 42(8). 112835–112835. 14 indexed citations
11.
Lee, Sungwon, Jaewon Song, Sung‐Yul Lee, et al.. (2022). Functional and molecular dissection of HCMV long non-coding RNAs. Scientific Reports. 12(1). 19303–19303. 11 indexed citations
12.
Park, Isaac, Jeesoo Kim, Myeong‐Gyun Kang, et al.. (2021). Dynamic tracking and identification of tissue-specific secretory proteins in the circulation of live mice. Nature Communications. 12(1). 5204–5204. 64 indexed citations
13.
Kim, Kijun, et al.. (2021). A quantitative map of human primary microRNA processing sites. Molecular Cell. 81(16). 3422–3439.e11. 65 indexed citations
14.
Lee, Sung‐Yul, Young-Suk Lee, Yeon Choi, et al.. (2021). The SARS-CoV-2 RNA interactome. Molecular Cell. 81(13). 2838–2850.e6. 94 indexed citations
15.
Kim, Jinuk, Taeyong Park, Eun‐Jin Kim, et al.. (2020). Sclerostin inhibits Wnt signaling through tandem interaction with two LRP6 ectodomains. Nature Communications. 11(1). 5357–5357. 54 indexed citations
16.
Jung, Jae Hun, Jeesoo Kim, Won‐Ki Baek, et al.. (2020). Proteomic analysis of human synovial fluid reveals potential diagnostic biomarkers for ankylosing spondylitis. Clinical Proteomics. 17(1). 20–20. 28 indexed citations
17.
Kim, Jeesoo, et al.. (2020). Identification of a Structurally Dynamic Domain for Oligomer Formation in Rootletin. Journal of Molecular Biology. 432(13). 3915–3932. 9 indexed citations
18.
Lee, Zee-Won, Byoung Sik Kim, Kyung Ku Jang, et al.. (2019). Small-molecule inhibitor of HlyU attenuates virulence of Vibrio species. Scientific Reports. 9(1). 4346–4346. 16 indexed citations
19.
Jeong, Jisoo, Seungeui Lee, Jeesoo Kim, & Nojun Kwak. (2019). Consistency-based Semi-supervised Learning for Object detection. Seoul National University Open Repository (Seoul National University). 32. 10758–10767. 201 indexed citations
20.
Ko, Eunkyong, et al.. (2019). SERPINA3 is a key modulator of HNRNP-K transcriptional activity against oxidative stress in HCC. Redox Biology. 24. 101217–101217. 29 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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