Kin Chan

22.5k total citations
38 papers, 1.6k citations indexed

About

Kin Chan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kin Chan has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Kin Chan's work include MicroRNA in disease regulation (6 papers), CRISPR and Genetic Engineering (6 papers) and Cancer Genomics and Diagnostics (6 papers). Kin Chan is often cited by papers focused on MicroRNA in disease regulation (6 papers), CRISPR and Genetic Engineering (6 papers) and Cancer Genomics and Diagnostics (6 papers). Kin Chan collaborates with scholars based in Hong Kong, United States and China. Kin Chan's co-authors include Dmitry A. Gordenin, Melvin Toh, Simon Law, Steven A. Roberts, Joan F. Sterling, David C. Fargo, Piotr A. Mieczkowski, Ewa P. Malc, Leszek J. Klimczak and Michael A. Resnick and has published in prestigious journals such as Nature Communications, Nature Genetics and Analytical Biochemistry.

In The Last Decade

Kin Chan

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kin Chan Hong Kong 19 1.1k 551 291 277 124 38 1.6k
Giovanni Nassa Italy 26 1.2k 1.1× 529 1.0× 393 1.4× 275 1.0× 144 1.2× 63 1.7k
Yongxin Zou China 21 1.2k 1.1× 363 0.7× 140 0.5× 269 1.0× 184 1.5× 54 1.5k
Niels J. F. van den Broek Netherlands 19 1.7k 1.5× 697 1.3× 106 0.4× 262 0.9× 119 1.0× 24 2.1k
Robert Wild United States 17 1.3k 1.1× 325 0.6× 145 0.5× 263 0.9× 114 0.9× 41 1.7k
Sanjay Katiyar United States 26 1.4k 1.3× 681 1.2× 251 0.9× 807 2.9× 144 1.2× 44 2.3k
Lisiane B. Meira United States 31 2.0k 1.8× 653 1.2× 261 0.9× 648 2.3× 180 1.5× 61 2.6k
Peiwen Fei United States 23 1.8k 1.6× 576 1.0× 202 0.7× 825 3.0× 143 1.2× 51 2.3k
Weidan Ji China 19 945 0.8× 519 0.9× 105 0.4× 252 0.9× 84 0.7× 32 1.3k
Bingtao Hao China 23 1.4k 1.2× 316 0.6× 161 0.6× 383 1.4× 354 2.9× 76 1.9k

Countries citing papers authored by Kin Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kin Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kin Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kin Chan. A scholar is included among the top collaborators of Kin 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 Kin Chan. Kin 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.
Chan, Kin, et al.. (2024). The mutagenic properties of formaldehyde and acetaldehyde: Reflections on half a century of progress. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 830. 111886–111886. 1 indexed citations
2.
Chan, Kin, et al.. (2022). Intrinsic base substitution patterns in diverse species reveal links to cancer and metabolism. Genetics. 222(3). 6 indexed citations
3.
Chan, Kin, et al.. (2022). Analyses of mutational patterns induced by formaldehyde and acetaldehyde reveal similarity to a common mutational signature. G3 Genes Genomes Genetics. 12(11). 10 indexed citations
4.
Zhu, Yun, Alfred K. Lam, Daisy Kwok‐Yan Shum, et al.. (2021). Significance of serglycin and its binding partners in autocrine promotion of metastasis in esophageal cancer. Theranostics. 11(6). 2722–2741. 13 indexed citations
5.
Chan, Kin, Mei Yuk Choi, Zhiyong Chen, et al.. (2018). Preclinical Study of Novel Curcumin Analogue SSC-5 Using Orthotopic Tumor Xenograft Model for Esophageal Squamous Cell Carcinoma. Cancer Research and Treatment. 50(4). 1362–1377. 14 indexed citations
6.
Dai, Wei, Josephine Mun Yee Ko, Luwen Ning, et al.. (2017). Whole‐exome sequencing reveals critical genes underlying metastasis in oesophageal squamous cell carcinoma. The Journal of Pathology. 242(4). 500–510. 42 indexed citations
7.
Li, Binkui, Wen Xu, Han Li, et al.. (2017). MicroRNA-377 suppresses initiation and progression of esophageal cancer by inhibiting CD133 and VEGF. Oncogene. 36(28). 3986–4000. 106 indexed citations
8.
Xu, Wen, Bin Li, Xin‐Yuan Guan, et al.. (2017). Cancer cell-secreted IGF2 instigates fibroblasts and bone marrow-derived vascular progenitor cells to promote cancer progression. Nature Communications. 8(1). 14399–14399. 81 indexed citations
9.
Saini, Natalie, Steven A. Roberts, Leszek J. Klimczak, et al.. (2016). The Impact of Environmental and Endogenous Damage on Somatic Mutation Load in Human Skin Fibroblasts. PLoS Genetics. 12(10). e1006385–e1006385. 60 indexed citations
10.
Chan, Kin, Steven A. Roberts, Leszek J. Klimczak, et al.. (2015). An APOBEC3A hypermutation signature is distinguishable from the signature of background mutagenesis by APOBEC3B in human cancers. Nature Genetics. 47(9). 1067–1072. 284 indexed citations
11.
Lai, Kenneth, Kin Chan, Mei Yuk Choi, et al.. (2015). 14-3-3σ confers cisplatin resistance in esophageal squamous cell carcinoma cells via regulating DNA repair molecules. Tumor Biology. 37(2). 2127–2136. 17 indexed citations
12.
Fernandez-Banet, Julio, Nikki P. Lee, Kin Chan, et al.. (2014). Decoding complex patterns of genomic rearrangement in hepatocellular carcinoma. Genomics. 103(2-3). 189–203. 44 indexed citations
13.
Chan, Kin, Mei Yuk Choi, Kenneth Lai, et al.. (2014). Overexpression of transferrin receptor CD71 and its tumorigenic properties in esophageal squamous cell carcinoma. Oncology Reports. 31(3). 1296–1304. 66 indexed citations
14.
Chan, Kin, Joan F. Sterling, Steven A. Roberts, et al.. (2012). Base Damage within Single-Strand DNA Underlies In Vivo Hypermutability Induced by a Ubiquitous Environmental Agent. PLoS Genetics. 8(12). e1003149–e1003149. 75 indexed citations
15.
Chan, Kin, et al.. (2010). Suspended Animation Extends Survival Limits ofCaenorhabditis elegansandSaccharomyces cerevisiaeat Low Temperature. Molecular Biology of the Cell. 21(13). 2161–2171. 4 indexed citations
16.
Chan, Kin & Hannele Ruohola‐Baker. (2010). Assessing In Vivo MicroRNA Function in the Germline Stem Cells of the Drosophila Ovary. Methods in molecular biology. 650. 201–212. 3 indexed citations
18.
Chan, Kin, Jie Qi, & MH Sham. (2010). Multiple coding and non-coding RNAs in the Hoxb3 locus and their spatial expression patterns during mouse embryogenesis. Biochemical and Biophysical Research Communications. 398(2). 153–159. 6 indexed citations
19.
Chan, Kin, et al.. (2009). Cucurbitacin B inhibits STAT3 and the Raf/MEK/ERK pathway in leukemia cell line K562. Cancer Letters. 289(1). 46–52. 112 indexed citations
20.
Eckenhoff, Maryellen F., Kin Chan, & Roderic G. Eckenhoff. (2002). Multiple Specific Binding Targets for Inhaled Anesthetics in the Mammalian Brain. Journal of Pharmacology and Experimental Therapeutics. 300(1). 172–179. 27 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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