Keith Syson Chan

9.3k total citations · 4 hit papers
53 papers, 4.7k citations indexed

About

Keith Syson Chan is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Keith Syson Chan has authored 53 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 28 papers in Molecular Biology and 16 papers in Surgery. Recurrent topics in Keith Syson Chan's work include Bladder and Urothelial Cancer Treatments (14 papers), Epigenetics and DNA Methylation (10 papers) and Cytokine Signaling Pathways and Interactions (10 papers). Keith Syson Chan is often cited by papers focused on Bladder and Urothelial Cancer Treatments (14 papers), Epigenetics and DNA Methylation (10 papers) and Cytokine Signaling Pathways and Interactions (10 papers). Keith Syson Chan collaborates with scholars based in United States, Taiwan and Japan. Keith Syson Chan's co-authors include John DiGiovanni, Shigetoshi Sano, Kaoru Kiguchi, Steve Carbajal, Philip Levy Ho, Antonina V. Kurtova, John L. Clifford, Qianxing Mo, Junji Takeda and Irving L. Weissman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Keith Syson Chan

50 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

Stat3 links activated keratinocytes and immunocytes required for development of psoriasis in a novel transgenic mouse model

2004 592 citations Shigetoshi Sano, Keith Syson Chan et al. profile →
Identification, molecular characterization, clinical prognosis, and therapeutic targeting of human bladder tumor-initiating cells

2009 513 citations Keith Syson Chan, Matt van de Rijn et al. Proceedings of the National Academy of Sciences profile →
Blocking PGE2-induced tumour repopulation abrogates bladder cancer chemoresistance

2014 451 citations Antonina V. Kurtova, Jing Xiao et al. profile →
Metabolic targeting of cancer associated fibroblasts overcomes T-cell exclusion and chemoresistance in soft-tissue sarcomas

2024 52 citations Keith Syson Chan et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keith Syson Chan United States	29	2.2k	2.0k	1.3k	1.2k	848	53	4.7k
Adam I. Riker United States	35	2.2k 1.0×	1.6k 0.8×	1.4k 1.1×	420 0.4×	1.0k 1.2×	100	4.4k
Rishu Takimoto Japan	40	2.6k 1.2×	1.6k 0.8×	593 0.5×	777 0.7×	564 0.7×	155	5.8k
Jun Akiba Japan	40	1.3k 0.6×	1.7k 0.9×	505 0.4×	1.0k 0.9×	929 1.1×	309	5.5k
Giovanna Chiorino Italy	37	3.0k 1.3×	1.3k 0.7×	578 0.4×	469 0.4×	1.3k 1.5×	113	4.8k
Michael Hölzel Germany	33	2.2k 1.0×	1.7k 0.9×	1.3k 1.0×	235 0.2×	588 0.7×	96	4.3k
Yun Wu United States	36	2.1k 0.9×	2.5k 1.2×	728 0.6×	241 0.2×	1.8k 2.1×	105	5.2k
Yupo Ma United States	38	3.8k 1.7×	2.3k 1.1×	760 0.6×	623 0.5×	557 0.7×	100	6.0k
Karin Milde‐Langosch Germany	42	3.2k 1.5×	1.9k 0.9×	739 0.6×	487 0.4×	1.8k 2.1×	130	5.6k
Kai Breuhahn Germany	41	3.1k 1.4×	1.0k 0.5×	577 0.4×	417 0.4×	1.4k 1.7×	128	5.2k
Romain Boidot France	31	1.8k 0.8×	1.6k 0.8×	1.2k 1.0×	284 0.2×	1.0k 1.2×	112	4.0k

Countries citing papers authored by Keith Syson Chan

Since Specialization

Citations

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

Fields of papers citing papers by Keith Syson Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Syson Chan

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

All Works

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20 of 20 papers shown

Gao, Hongbo, Yu‐Cheng Lee, Kazukuni Hayashi, et al.. (2025). Caspase-1–dependent pyroptosis converts αSMA ⁺ CAFs into collagen-III ^high iCAFs to fuel chemoresistant cancer stem cells. Science Advances. 11(24). eadt8697–eadt8697. 4 indexed citations

Shroff, Raghav, Jenying Deng, Jianying Zhou, et al.. (2025). Abstract 3525: Neo20 mRNA vaccine induces neoantigen-specific T cell immunity in humanized patient-derived xenograft mouse models of triple-negative breast cancer. Cancer Research. 85(8_Supplement_1). 3525–3525.

Chen, Zhengyi, Jimin Min, Sarah E. Glass, et al.. (2024). The Hallmarks of Precancer. Cancer Discovery. 14(4). 683–689. 11 indexed citations

Cope, Shannon, Keith Syson Chan, Harlan Campbell, et al.. (2022). A Comparison of Alternative Network Meta-Analysis Methods in the Presence of Nonproportional Hazards: A Case Study in First-Line Advanced or Metastatic Renal Cell Carcinoma. Value in Health. 26(4). 465–476. 5 indexed citations

Gouin, Kenneth, Nathan Ing, Jasmine Plummer, et al.. (2021). An N-Cadherin 2 expressing epithelial cell subpopulation predicts response to surgery, chemotherapy and immunotherapy in bladder cancer. Nature Communications. 12(1). 4906–4906. 103 indexed citations

Ho, Shiuh‐Rong, Yu‐Cheng Lee, Michael Ittmann, et al.. (2021). RNF144A deficiency promotes PD-L1 protein stabilization and carcinogen-induced bladder tumorigenesis. Cancer Letters. 520. 344–360. 23 indexed citations

Furuya, Hideki, Kazukuni Hayashi, Yoshiko Shimizu, et al.. (2020). Plasminogen activator inhibitor-2(PAI-2) overexpression supportsbladder cancer developmentin PAI-1 knockout mice in N-butyl-N-(4-hydroxybutyl)-nitrosamine- induced bladdercancer mouse model. Journal of Translational Medicine. 18(1). 57–57. 10 indexed citations

Hayashi, Kazukuni, Fotis Nikolos, Antrix Jain, et al.. (2020). Tipping the immunostimulatory and inhibitory DAMP balance to harness immunogenic cell death. Nature Communications. 11(1). 6299–6299. 212 indexed citations

Mo, Qianxing, Roger Li, Dennis O. Adeegbe, Guang Peng, & Keith Syson Chan. (2020). Integrative multi-omics analysis of muscle-invasive bladder cancer identifies prognostic biomarkers for frontline chemotherapy and immunotherapy. Communications Biology. 3(1). 784–784. 24 indexed citations

10.

Rodriguez-Brenes, Ignacio A., Antonina V. Kurtova, Christopher Lin, et al.. (2017). Cellular Hierarchy as a Determinant of Tumor Sensitivity to Chemotherapy. Cancer Research. 77(9). 2231–2241. 13 indexed citations

11.

Ho, Philip Levy, et al.. (2012). Stat3 Activation in Urothelial Stem Cells Leads to Direct Progression to Invasive Bladder Cancer. Cancer Research. 72(13). 3135–3142. 111 indexed citations

12.

Volkmer, Jens-Peter, Debashis Sahoo, Robert Chin, et al.. (2012). Three differentiation states risk-stratify bladder cancer into distinct subtypes. Proceedings of the National Academy of Sciences. 109(6). 2078–2083. 187 indexed citations

13.

Xie, Xiaoyan, Keith Syson Chan, Feng Cao, et al.. (2008). Imaging of STAT3 Signaling Pathway During Mouse Embryonic Stem Cell Differentiation. Stem Cells and Development. 18(2). 205–214. 27 indexed citations

14.

Chan, Keith Syson, Shigetoshi Sano, Ken Kataoka, et al.. (2007). Forced expression of a constitutively active form of Stat3 in mouse epidermis enhances malignant progression of skin tumors induced by two-stage carcinogenesis. Oncogene. 27(8). 1087–1094. 89 indexed citations

15.

Sano, Shigetoshi, Keith Syson Chan, & John DiGiovanni. (2007). Impact of Stat3 activation upon skin biology: A dichotomy of its role between homeostasis and diseases. Journal of Dermatological Science. 50(1). 1–14. 144 indexed citations

16.

Sano, Shigetoshi, Keith Syson Chan, Masahiro Kira, et al.. (2005). Signal Transducer and Activator of Transcription 3 Is a Key Regulator of Keratinocyte Survival and Proliferation following UV Irradiation. Cancer Research. 65(13). 5720–5729. 81 indexed citations

17.

Chan, Keith Syson, Shigetoshi Sano, Kaoru Kiguchi, et al.. (2004). Disruption of Stat3 reveals a critical role in both the initiation and the promotion stages of epithelial carcinogenesis. Journal of Clinical Investigation. 114(5). 720–728. 271 indexed citations

18.

Kiguchi, Kaoru, Steve Carbajal, Keith Syson Chan, et al.. (2001). Constitutive expression of ErbB-2 in gallbladder epithelium results in development of adenocarcinoma.. PubMed. 61(19). 6971–6. 142 indexed citations

19.

Kiguchi, Kaoru, David K. Bol, Steve Carbajal, et al.. (2000). Constitutive expression of erbB2 in epidermis of transgenic mice results in epidermal hyperproliferation and spontaneous skin tumor development. Oncogene. 19(37). 4243–4254. 71 indexed citations

20.

Chan, Keith Syson & Irving Rappaport. (1981). Studies on the development of background plaque-forming cells. Cellular Immunology. 57(1). 13–19. 2 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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