Yan Kim

1.1k total citations
44 papers, 911 citations indexed

About

Yan Kim is a scholar working on Oncology, Molecular Biology and Genetics. According to data from OpenAlex, Yan Kim has authored 44 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 19 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Yan Kim's work include Cancer Cells and Metastasis (13 papers), Glycosylation and Glycoproteins Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Yan Kim is often cited by papers focused on Cancer Cells and Metastasis (13 papers), Glycosylation and Glycoproteins Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Yan Kim collaborates with scholars based in Russia, United States and South Korea. Yan Kim's co-authors include James R. Gum, William J. Rutter, Éric Clauser, Yuet Wai Kan, Winnie Kam, А. Yu. Lupatov, K. N. Yarygin, D J McKean, Carol Basbaum and B. Jany and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yan Kim

43 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Kim Russia 15 384 212 161 131 122 44 911
Mamdooh Gari Saudi Arabia 20 738 1.9× 232 1.1× 159 1.0× 195 1.5× 132 1.1× 69 1.7k
Kalyane Bach‐Ngohou France 18 209 0.5× 165 0.8× 171 1.1× 90 0.7× 117 1.0× 49 946
Kyung Hee Yi South Korea 15 206 0.5× 270 1.3× 121 0.8× 291 2.2× 191 1.6× 28 1.0k
Jason Liao United States 22 479 1.2× 308 1.5× 98 0.6× 120 0.9× 41 0.3× 60 1.3k
Stephen I‐Hong Hsu United States 22 416 1.1× 337 1.6× 81 0.5× 190 1.5× 82 0.7× 39 1.5k
Xuzhen Qin China 19 534 1.4× 98 0.5× 63 0.4× 127 1.0× 101 0.8× 53 1.1k
Dragica Radojković Serbia 20 455 1.2× 109 0.5× 53 0.3× 107 0.8× 66 0.5× 130 1.4k
Detlef Lang Germany 21 462 1.2× 337 1.6× 95 0.6× 219 1.7× 56 0.5× 40 1.5k
Leon Bernal‐Mizrachi United States 16 719 1.9× 276 1.3× 104 0.6× 270 2.1× 45 0.4× 46 1.7k
Indra Ramasamy United Kingdom 12 216 0.6× 111 0.5× 53 0.3× 99 0.8× 147 1.2× 35 946

Countries citing papers authored by Yan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Kim. A scholar is included among the top collaborators of Yan 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 Yan Kim. Yan 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, Yan, et al.. (2025). Generation of Cell Models with Stable Expression of a Caspase-3 Activity Fluorescent Sensor. Bulletin of Experimental Biology and Medicine. 179(1). 162–169.
2.
Kim, Yan, et al.. (2024). Human Liver MSCs Retain Their Basic Cellular Properties in Chronically Inflamed Liver Tissue. International Journal of Molecular Sciences. 25(24). 13374–13374. 1 indexed citations
3.
Kim, Yan, et al.. (2023). Can CD133 Be Regarded as a Prognostic Biomarker in Oncology: Pros and Cons. International Journal of Molecular Sciences. 24(24). 17398–17398. 15 indexed citations
4.
Jamroga, Wojciech & Yan Kim. (2023). Practical Abstraction for Model Checking of Multi-Agent Systems. 384–394. 1 indexed citations
5.
Холоденко, И. В., et al.. (2022). Glioma Stem Cells: Novel Data Obtained by Single-Cell Sequencing. International Journal of Molecular Sciences. 23(22). 14224–14224. 39 indexed citations
6.
Kim, Yan, Daria M. Potashnikova, И. В. Холоденко, et al.. (2022). TRIM28 Is a Novel Regulator of CD133 Expression Associated with Cancer Stem Cell Phenotype. International Journal of Molecular Sciences. 23(17). 9874–9874. 8 indexed citations
7.
Jamroga, Wojciech, et al.. (2021). STV+Reductions: Towards Practical Verification of Strategic Ability Using Model Reductions. Autonomous Agents and Multi-Agent Systems. 1770–1772. 1 indexed citations
8.
Холоденко, И. В., et al.. (2021). Analysis of the Correlation between CD133 Expression on Human Colorectal Adenocarcinoma Cells HT-29 and Their Resistance to Chemotherapeutic Drugs. Bulletin of Experimental Biology and Medicine. 171(1). 156–163. 4 indexed citations
9.
Kim, Yan, et al.. (2021). Identification of the side population associated with ATP-binding cassette transporters activity using imaging flow cytometry. Biomeditsinskaya Khimiya. 67(2). 137–143. 1 indexed citations
10.
Kim, Yan, et al.. (2020). Expression of Epithelial Cell Adhesion Molecule (EpCAM) in Tumor Spheroids of Human Colorectal Adenocarcinoma Cells. Bulletin of Experimental Biology and Medicine. 170(1). 135–141. 2 indexed citations
11.
Suvorov, Roman, et al.. (2018). Surface Molecular Markers of Cancer Stem Cells: Computation Analysis of Full-Text Scientific Articles. Bulletin of Experimental Biology and Medicine. 166(1). 135–140. 8 indexed citations
12.
Kim, Yan, et al.. (2017). Cancer stem cell molecular markers verified in vivo. Biochemistry (Moscow) Supplement Series B Biomedical Chemistry. 11(1). 43–54. 20 indexed citations
13.
Lupatov, А. Yu., et al.. (2017). Effect of Fibroblast-Like Cells of Mesenchymal Origin of Cytotoxic Activity of Lymphocytes against NK-Sensitive Target Cells. Bulletin of Experimental Biology and Medicine. 162(4). 552–557. 7 indexed citations
14.
Kim, Ji-Eun, Yoon Joo Shin, Yan Kim, et al.. (2016). Foxp3 is a key downstream regulator of p53-mediated cellular senescence. Oncogene. 36(2). 219–230. 25 indexed citations
15.
Kim, Dong Ki, et al.. (2011). Successfully treated multicentric Castleman’s disease with renal thrombotic microangiopathy using rituximab and corticosteroid. Clinical Nephrology. 75(2). 165–170. 5 indexed citations
16.
Ferrari‐Lacraz, Sylvie, Xin Xiao Zheng, Yan Kim, Włodzimierz Maśliński, & Terry B. Strom. (2002). Addition of an IL-15 mutant/FCγ2A antagonist protein protects islet allografts from rejection overriding costimulation blockade. Transplantation Proceedings. 34(3). 745–747. 7 indexed citations
17.
Kim, Yan, et al.. (1998). Keratin material in squamous cell carcinoma of the urinary bladder: a rare cause of high CT density.. American Journal of Roentgenology. 170(1). 187–188. 1 indexed citations
18.
Jeong, Byung‐Hoon, et al.. (1998). Molecular analysis of prion protein gene (PRNP) in Korean patients with Creutzfeldt-Jakob disease. Journal of Korean Medical Science. 13(3). 234–234. 21 indexed citations
19.
Kim, Yan, Junji Sagara, & Akihiko Kawai. (1995). Studies on the Antiviral Activity of Protein Kinase Inhibitors against the Replication of Vesicular Stomatitis Virus.. Biological and Pharmaceutical Bulletin. 18(6). 895–899. 15 indexed citations
20.
Jany, B., Marianne Gallup, Peisha Yan, et al.. (1991). Human bronchus and intestine express the same mucin gene.. Journal of Clinical Investigation. 87(1). 77–82. 83 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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