Kui Ming Chan

3.9k total citations · 2 hit papers
36 papers, 1.5k citations indexed

About

Kui Ming Chan is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Kui Ming Chan has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Cancer Research. Recurrent topics in Kui Ming Chan's work include Genomics and Chromatin Dynamics (14 papers), Epigenetics and DNA Methylation (12 papers) and RNA modifications and cancer (6 papers). Kui Ming Chan is often cited by papers focused on Genomics and Chromatin Dynamics (14 papers), Epigenetics and DNA Methylation (12 papers) and RNA modifications and cancer (6 papers). Kui Ming Chan collaborates with scholars based in Hong Kong, China and United States. Kui Ming Chan's co-authors include Zhiguo Zhang, Haiyun Gan, Fang Dong, Zhongjun Zhou, Chuanhe Yu, C. David James, Sabine Mueller, Jann N. Sarkaria, Robert B. Jenkins and Rintaro Hashizume and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kui Ming Chan

36 papers receiving 1.5k citations

Hit Papers

The histone H3.3K27M mutation in pediatric glioma reprogr... 2013 2026 2017 2021 2013 2025 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kui Ming Chan Hong Kong 19 1.1k 311 256 207 184 36 1.5k
Sergey Popov United Kingdom 20 825 0.8× 349 1.1× 358 1.4× 112 0.5× 316 1.7× 48 1.5k
Monica Hermanson Sweden 12 635 0.6× 228 0.7× 447 1.7× 103 0.5× 307 1.7× 15 1.2k
Ilka Warshawsky United States 19 561 0.5× 229 0.7× 157 0.6× 177 0.9× 141 0.8× 33 1.2k
Sudheer Kumar Gara United States 20 545 0.5× 260 0.8× 90 0.4× 118 0.6× 283 1.5× 35 1.2k
Catherine Maingonnat France 23 609 0.6× 295 0.9× 275 1.1× 604 2.9× 361 2.0× 45 1.5k
Deqin Ma United States 21 825 0.8× 217 0.7× 152 0.6× 163 0.8× 196 1.1× 46 1.4k
Anita Tandle United States 21 766 0.7× 324 1.0× 97 0.4× 123 0.6× 320 1.7× 33 1.2k
Woojoong Lee South Korea 3 1.3k 1.2× 240 0.8× 150 0.6× 98 0.5× 422 2.3× 8 2.0k
Robert Tressler United States 15 758 0.7× 167 0.5× 198 0.8× 134 0.6× 280 1.5× 20 1.3k
Anastasia Sacharidou United States 21 948 0.9× 263 0.8× 64 0.3× 398 1.9× 238 1.3× 36 1.8k

Countries citing papers authored by Kui Ming Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kui Ming Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kui Ming Chan. 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 Kui Ming Chan. The network helps show where Kui Ming Chan may publish in the future.

Co-authorship network of co-authors of Kui Ming Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kui Ming Chan. A scholar is included among the top collaborators of Kui Ming Chan 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 Kui Ming Chan. Kui Ming Chan 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.
Wang, Siying, Lei Xia, Kui Ming Chan, et al.. (2025). Hepatocellular carcinoma: signaling pathways and therapeutic advances. Signal Transduction and Targeted Therapy. 10(1). 35–35. 62 indexed citations breakdown →
2.
Wang, Peng, Shu Chen, Wenjie Wei, et al.. (2025). Endosomal trafficking participates in lipid droplet catabolism to maintain lipid homeostasis. Nature Communications. 16(1). 1917–1917. 5 indexed citations
3.
Hu, Jianyang, Hao Huang, Tan Wu, et al.. (2024). FOSL1 is a key regulator of a super-enhancer driving TCOF1 expression in triple-negative breast cancer. Epigenetics & Chromatin. 17(1). 34–34. 1 indexed citations
4.
So, Joan, Lei Peng, Lina Zhu, et al.. (2024). TSPYL1 as a Critical Regulator of TGFβ Signaling through Repression of TGFBR1 and TSPYL2. Advanced Science. 11(21). e2306486–e2306486. 3 indexed citations
6.
Chan, Kui Ming, et al.. (2024). Roles of Histone H2B, H3 and H4 Variants in Cancer Development and Prognosis. International Journal of Molecular Sciences. 25(17). 9699–9699. 5 indexed citations
7.
Zhu, Huazhang, Dawei Wang, Zuodong Ye, et al.. (2024). The temporal association of CapZ with early endosomes regulates endosomal trafficking and viral entry into host cells. BMC Biology. 22(1). 12–12. 4 indexed citations
8.
Asthana, Pallavi, Lixiang Zhai, Yijing Zhang, et al.. (2024). Artesunate treats obesity in male mice and non-human primates through GDF15/GFRAL signalling axis. Nature Communications. 15(1). 1034–1034. 16 indexed citations
9.
Tian, Congcong, Jiaqi Zhou, Xinran Li, et al.. (2023). Impaired histone inheritance promotes tumor progression. Nature Communications. 14(1). 3429–3429. 29 indexed citations
10.
Zhang, Suyang, Yile Huang, Liangqiang He, et al.. (2023). ATF3 induction prevents precocious activation of skeletal muscle stem cell by regulating H2B expression. Nature Communications. 14(1). 4978–4978. 18 indexed citations
11.
Li, Xinran, Jiaqi Zhou, Qing Wen, et al.. (2021). Defining Proximity Proteome of Histone Modifications by Antibody-Mediated Protein A-APEX2 Labeling. Genomics Proteomics & Bioinformatics. 20(1). 87–100. 13 indexed citations
12.
Huang, Hao, Jianyang Hu, Qinghua Huang, et al.. (2021). Defining super-enhancer landscape in triple-negative breast cancer by multiomic profiling. Nature Communications. 12(1). 2242–2242. 76 indexed citations
13.
Zhu, Lina, Yang Du, Yi Ching Esther Wan, et al.. (2021). The elevated transcription of ADAM19 by the oncohistone H2BE76K contributes to oncogenic properties in breast cancer. Journal of Biological Chemistry. 296. 100374–100374. 18 indexed citations
14.
Li, Jingyu, Xi Wang, Ligang Fan, et al.. (2020). CRISPR-assisted detection of RNA–protein interactions in living cells. Nature Methods. 17(7). 685–688. 93 indexed citations
15.
Qiu, Lei, Xiao Hu, Jing Qian, et al.. (2018). Mechanism of cancer: Oncohistones in action. Journal of genetics and genomics. 45(5). 227–236. 22 indexed citations
16.
Liu, Hang, et al.. (2018). TSPYL2 Regulates the Expression of EZH2 Target Genes in Neurons. Molecular Neurobiology. 56(4). 2640–2652. 10 indexed citations
17.
Chan, Kui Ming, Hoi Leong Xavier Wong, Guoxiang Jin, et al.. (2012). MT1-MMP Inactivates ADAM9 to Regulate FGFR2 Signaling and Calvarial Osteogenesis. Developmental Cell. 22(6). 1176–1190. 61 indexed citations
18.
Chan, Kui Ming & Zhiguo Zhang. (2012). Leucine-rich Repeat and WD Repeat-containing Protein 1 Is Recruited to Pericentric Heterochromatin by Trimethylated Lysine 9 of Histone H3 and Maintains Heterochromatin Silencing. Journal of Biological Chemistry. 287(18). 15024–15033. 32 indexed citations
19.
Jin, Guoxiang, Fengju Zhang, Kui Ming Chan, et al.. (2011). MT1‐MMP cleaves Dll1 to negatively regulate Notch signalling to maintain normal B‐cell development. The EMBO Journal. 30(11). 2281–2293. 42 indexed citations
20.
Zhou, Zhongjun, Masayuki Doi, Jianming Wang, et al.. (2004). Deletion of Laminin-8 Results in Increased Tumor Neovascularization and Metastasis in Mice. Cancer Research. 64(12). 4059–4063. 31 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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