Yan Kim

1.1k citations
44 papers · 911 · h-index 15

Impact in

Papers in

    • Cancer Cells and Metastasis 13
    • Cancer-related Molecular Pathways 2
    • Epigenetics and DNA Methylation 3
    • Glycosylation and Glycoproteins Research 3

Yan Kim

43 papers receiving 886 citations

Peers

Yan Kim
Comparison fields: 5 of 111
  • Oncology 212
  • Endocrinology, Diabetes and Metabolism 122
  • Biochemistry 51
  • Radiological and Ultrasound Technology 32
  • Immunology 131
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Susan Kilroy United States
Nicholas M. Mark United States
Josepmaria Argemí Spain
Ling Lu United States
Maarit Tiirikainen United States
Jonathan M. Ducore United States
Ann Colosia United States
Fikret Arpacı Türkiye
Rebecca Crawford United States
Yoshiyuki Ohno Japan
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Citations per field
00.5×2.9×
Susan Kilroy · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yan Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yan Kim Line = papers co-authored together Yan Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985173
2 2016131
3 1995115
4 199183
5
Endogenous interleukin-18 modulates immune escape of murine melanoma cells by regulating the expression of Fas ligand and reactive oxygen intermediates.
200070
6 202239
7 201633
8 201625
9 199821
10 201720
11 202117
12 202315
13 199515
14 201615
15 201614
16 199411
17 201510
18 20228
19 20188
20 20177

About Yan Kim

Yan Kim is a scholar working on Oncology, Molecular Biology, Genetics, Epidemiology and Artificial Intelligence, having authored 44 papers that have together received 911 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (13 papers), Immune Cell Function and Interaction (3 papers), Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (3 papers), Mesenchymal stem cell research (2 papers), Liver physiology and pathology (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Oncology (212 citations), Endocrinology, Diabetes and Metabolism (122 citations), Biochemistry (51 citations), Radiological and Ultrasound Technology (32 citations) and Immunology (131 citations). Yan Kim has collaborated with scholars based in Russia, United States and South Korea. Frequent co-authors include James R. Gum, Winnie Kam, Éric Clauser, Yuet Wai Kan, William J. Rutter, K. N. Yarygin, А. Yu. Lupatov, D J McKean, Carol Basbaum and Marianne Gallup. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Korean Medical Science, Biological and Pharmaceutical Bulletin, Health Affairs and Cancer Biomarkers.

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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