Keefe T. Chan

2.6k total citations · 1 hit paper
25 papers, 1.7k citations indexed

About

Keefe T. Chan is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Keefe T. Chan has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cell Biology and 7 papers in Oncology. Recurrent topics in Keefe T. Chan's work include Cellular Mechanics and Interactions (9 papers), Cell Adhesion Molecules Research (6 papers) and Melanoma and MAPK Pathways (3 papers). Keefe T. Chan is often cited by papers focused on Cellular Mechanics and Interactions (9 papers), Cell Adhesion Molecules Research (6 papers) and Melanoma and MAPK Pathways (3 papers). Keefe T. Chan collaborates with scholars based in Australia, United States and Finland. Keefe T. Chan's co-authors include Anna Huttenlocher, Christa L. Cortesio, Richard B. Pearson, Jian Kang, James E. Bear, David A. Bennin, Sarah J. Creed, Elaine Sanij, Natalie Brajanovski and Jiachen Xuan and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Keefe T. Chan

23 papers receiving 1.7k citations

Hit Papers

Ribosomal proteins and human diseases: molecular mechanis... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keefe T. Chan Australia 20 951 549 301 287 238 25 1.7k
Emilia Turco Italy 27 1.7k 1.8× 632 1.2× 426 1.4× 374 1.3× 364 1.5× 67 2.6k
Pengcheng Zhou China 19 1.0k 1.1× 343 0.6× 316 1.0× 262 0.9× 198 0.8× 34 1.6k
Sandra Iden Germany 20 890 0.9× 562 1.0× 238 0.8× 158 0.6× 116 0.5× 33 1.7k
Julie Milanini France 15 1.3k 1.3× 317 0.6× 395 1.3× 139 0.5× 542 2.3× 19 2.0k
Katsuhito Takahashi Japan 26 1.2k 1.3× 561 1.0× 159 0.5× 143 0.5× 225 0.9× 61 2.1k
Kwai Wa Cheng United States 29 1.7k 1.8× 906 1.7× 410 1.4× 205 0.7× 447 1.9× 41 2.8k
Evangelia A. Papakonstanti Greece 24 860 0.9× 300 0.5× 257 0.9× 158 0.6× 113 0.5× 33 1.7k
Chenran Wang United States 18 831 0.9× 264 0.5× 237 0.8× 114 0.4× 316 1.3× 35 1.6k
Edward Monosov United States 17 1.4k 1.4× 371 0.7× 508 1.7× 285 1.0× 584 2.5× 18 2.4k

Countries citing papers authored by Keefe T. Chan

Since Specialization
Citations

This map shows the geographic impact of Keefe T. 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 Keefe T. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keefe T. Chan more than expected).

Fields of papers citing papers by Keefe T. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keefe T. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Keefe T. Chan. A scholar is included among the top collaborators of Keefe T. 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 Keefe T. Chan. Keefe T. 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.
Thio, Niko, Ada Koo, Adrian Wong, et al.. (2025). Exploiting dysregulated iron homeostasis to eradicate persistent high-grade serous ovarian cancer. Cell Death Discovery. 11(1). 423–423.
2.
Ahn, Antonio, Michael Taylor, Keefe T. Chan, et al.. (2023). INX-315, a Selective CDK2 Inhibitor, Induces Cell Cycle Arrest and Senescence in Solid Tumors. Cancer Discovery. 14(3). 446–467. 62 indexed citations
3.
4.
Kang, Jian, Natalie Brajanovski, Keefe T. Chan, et al.. (2021). Ribosomal proteins and human diseases: molecular mechanisms and targeted therapy. Signal Transduction and Targeted Therapy. 6(1). 323–323. 214 indexed citations breakdown →
5.
Kusnadi, Eric, Anna Trigos, Carleen Cullinane, et al.. (2020). Reprogrammed mRNA translation drives resistance to therapeutic targeting of ribosome biogenesis. The EMBO Journal. 39(21). e105111–e105111. 28 indexed citations
6.
7.
Zhu, Haoran, et al.. (2020). Oncogene-induced senescence: From biology to therapy. Mechanisms of Ageing and Development. 187. 111229–111229. 81 indexed citations
8.
Chan, Keefe T., Haoran Zhu, Jian Kang, et al.. (2019). A functional genetic screen defines the AKT-induced senescence signaling network. Cell Death and Differentiation. 27(2). 725–741. 47 indexed citations
9.
Yan, Shunfei, Daniel Frank, Jinbae Son, et al.. (2017). The Potential of Targeting Ribosome Biogenesis in High-Grade Serous Ovarian Cancer. International Journal of Molecular Sciences. 18(1). 210–210. 19 indexed citations
10.
Chan, Keefe T., Lassi Paavolainen, Katherine M. Hannan, et al.. (2016). Combining High-Content Imaging and Phenotypic Classification Analysis of Senescence-Associated Beta-Galactosidase Staining to Identify Regulators of Oncogene-Induced Senescence. Assay and Drug Development Technologies. 14(7). 416–428. 8 indexed citations
11.
Quin, Jaclyn, Keefe T. Chan, Jennifer R. Devlin, et al.. (2016). Inhibition of RNA polymerase I transcription initiation by CX-5461 activates non-canonical ATM/ATR signaling. Oncotarget. 7(31). 49800–49818. 79 indexed citations
12.
Creed, Sarah J., Caroline P. Le, Mohd Ali Hassan, et al.. (2015). β2-adrenoceptor signaling regulates invadopodia formation to enhance tumor cell invasion. Breast Cancer Research. 17(1). 62 indexed citations
13.
Chan, Keefe T., Stephen Jones, Hailey E. Brighton, et al.. (2013). Intravital imaging of a spheroid-based orthotopic model of melanoma in the mouse ear skin. PubMed. 2(2). e25805–e25805. 11 indexed citations
14.
Liu, Wenjin, Kimberly B. Monahan, Adam D. Pfefferle, et al.. (2012). LKB1/STK11 Inactivation Leads to Expansion of a Prometastatic Tumor Subpopulation in Melanoma. Cancer Cell. 21(6). 751–764. 96 indexed citations
15.
Chan, Keefe T., David W. Roadcap, Nicholas Holoweckyj, & James E. Bear. (2012). Coronin 1C harbours a second actin-binding site that confers co-operative binding to F-actin. Biochemical Journal. 444(1). 89–96. 30 indexed citations
16.
Chan, Keefe T., Sarah J. Creed, & James E. Bear. (2011). Unraveling the enigma: progress towards understanding the coronin family of actin regulators. Trends in Cell Biology. 21(8). 481–488. 136 indexed citations
17.
Chan, Keefe T., David A. Bennin, & Anna Huttenlocher. (2010). Regulation of Adhesion Dynamics by Calpain-mediated Proteolysis of Focal Adhesion Kinase (FAK). Journal of Biological Chemistry. 285(15). 11418–11426. 171 indexed citations
18.
Cortesio, Christa L., Keefe T. Chan, Benjamin J. Perrin, et al.. (2008). Calpain 2 and PTP1B function in a novel pathway with Src to regulate invadopodia dynamics and breast cancer cell invasion. The Journal of Cell Biology. 180(5). 957–971. 157 indexed citations
19.
Chan, Keefe T., Christa L. Cortesio, & Anna Huttenlocher. (2007). Integrins in Cell Migration. Methods in enzymology on CD-ROM/Methods in enzymology. 426. 47–67. 31 indexed citations
20.
Lokuta, Mary A., David A. Bennin, Paul A. Nuzzi, et al.. (2007). Type Iγ PIP Kinase Is a Novel Uropod Component that Regulates Rear Retraction during Neutrophil Chemotaxis. Molecular Biology of the Cell. 18(12). 5069–5080. 57 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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