Siang‐Boon Koh

773 total citations
21 papers, 503 citations indexed

About

Siang‐Boon Koh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Siang‐Boon Koh has authored 21 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Siang‐Boon Koh's work include DNA Repair Mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Cells and Metastasis (3 papers). Siang‐Boon Koh is often cited by papers focused on DNA Repair Mechanisms (4 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Cells and Metastasis (3 papers). Siang‐Boon Koh collaborates with scholars based in United Kingdom, United States and China. Siang‐Boon Koh's co-authors include Duncan I. Jodrell, Frances M. Richards, Chiara Fornari, Giovanni Y. Di Veroli, Ian S. Goldlust, Graham A. Mills, Jo L. Bramhall, Sandra Bernaldo de Quirós Fernández, Yann Wallez and Patrice Mascalchi and has published in prestigious journals such as Genes & Development, Cancer Research and Oncogene.

In The Last Decade

Siang‐Boon Koh

20 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siang‐Boon Koh United Kingdom 10 296 166 84 48 31 21 503
Sonal M. Manohar India 13 237 0.8× 157 0.9× 74 0.9× 48 1.0× 52 1.7× 29 490
Michelle Helen Visagie South Africa 15 401 1.4× 120 0.7× 185 2.2× 55 1.1× 43 1.4× 33 698
Vanessa Hernández Spain 14 365 1.2× 112 0.7× 103 1.2× 64 1.3× 59 1.9× 35 593
Elin Lindhagen Sweden 14 245 0.8× 138 0.8× 67 0.8× 16 0.3× 41 1.3× 28 505
Sun A Kim South Korea 14 294 1.0× 171 1.0× 83 1.0× 54 1.1× 31 1.0× 21 693
Jo L. Bramhall United Kingdom 5 390 1.3× 204 1.2× 95 1.1× 44 0.9× 45 1.5× 9 760
Xuechi Lin China 10 216 0.7× 113 0.7× 75 0.9× 55 1.1× 15 0.5× 11 381
Chiara Fornari United Kingdom 7 434 1.5× 232 1.4× 93 1.1× 33 0.7× 38 1.2× 12 788
Cecilie Abildgaard Denmark 12 411 1.4× 140 0.8× 202 2.4× 47 1.0× 25 0.8× 17 575
Changyu Shan China 9 334 1.1× 48 0.3× 121 1.4× 29 0.6× 26 0.8× 15 508

Countries citing papers authored by Siang‐Boon Koh

Since Specialization
Citations

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

Fields of papers citing papers by Siang‐Boon Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siang‐Boon Koh. 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 Siang‐Boon Koh. The network helps show where Siang‐Boon Koh may publish in the future.

Co-authorship network of co-authors of Siang‐Boon Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Siang‐Boon Koh. A scholar is included among the top collaborators of Siang‐Boon Koh 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 Siang‐Boon Koh. Siang‐Boon Koh 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.
O’Connor, Catherine, Mo Sun, R. M. Patel, et al.. (2025). CREB1-BCL2 drives mitochondrial resilience in RAS GAP-dependent breast cancer chemoresistance. Oncogene. 44(16). 1093–1105. 4 indexed citations
2.
Li, Mengxin, et al.. (2025). cAMP response element–binding protein: A credible cancer drug target. Journal of Pharmacology and Experimental Therapeutics. 392(4). 103529–103529. 3 indexed citations
3.
Wang, Zhipeng, Jie Wang, Luxia Ye, et al.. (2025). Novel hormone therapies for advanced prostate cancer: Understanding and countering drug resistance. Journal of Pharmaceutical Analysis. 15(9). 101232–101232. 5 indexed citations
4.
Li, Dengxiong, Jie Wang, Xinrui Li, et al.. (2025). Interactions between radiotherapy resistance mechanisms and the tumor microenvironment. Critical Reviews in Oncology/Hematology. 210. 104705–104705. 1 indexed citations
5.
Spring, Laura M., Bogang Wu, Simona Cristea, et al.. (2024). Abstract PR08: Intratumoral heterogeneity drives resistance to Antibody Drug Conjugate therapy: Analysis of the NeoSTAR trial of neoadjuvant Sacituzumab govitecan for localized TNBC. Cancer Research. 84(3_Supplement_1). PR08–PR08. 1 indexed citations
6.
Cristea, Simona, Mengran Zhang, Siang‐Boon Koh, et al.. (2023). Abstract 4353: Utilizing scRNA sequencing to understand biomarkers of response and resistance to Sacitizumab Govetican in localized TNBC. Cancer Research. 83(7_Supplement). 4353–4353. 1 indexed citations
7.
Koh, Siang‐Boon. (2022). The expanding role of WEE1. Cellular Signalling. 94. 110310–110310. 17 indexed citations
8.
Koh, Siang‐Boon, Kenneth N. Ross, Steven J. Isakoff, et al.. (2021). RASAL2 Confers Collateral MEK/EGFR Dependency in Chemoresistant Triple-Negative Breast Cancer. Clinical Cancer Research. 27(17). 4883–4897. 16 indexed citations
9.
Koh, Siang‐Boon, Brian N. Dontchos, Veerle Bossuyt, et al.. (2021). Systematic tissue collection during clinical breast biopsy is feasible, safe and enables high-content translational analyses. npj Precision Oncology. 5(1). 85–85. 4 indexed citations
10.
Choi, Ran Joo, et al.. (2021). Prediction and identification of synergistic compound combinations against pancreatic cancer cells. iScience. 24(9). 103080–103080. 4 indexed citations
11.
Qiao, Shuxi, Siang‐Boon Koh, Krushna C. Patra, et al.. (2020). REDD1 loss reprograms lipid metabolism to drive progression of RAS mutant tumors. Genes & Development. 34(11-12). 751–766. 37 indexed citations
12.
Koh, Siang‐Boon, Yann Wallez, Sandra Bernaldo de Quirós Fernández, et al.. (2018). Mechanistic Distinctions between CHK1 and WEE1 Inhibition Guide the Scheduling of Triple Therapy with Gemcitabine. Cancer Research. 78(11). 3054–3066. 28 indexed citations
13.
Wallez, Yann, Timothy Isaac Johnson, Siang‐Boon Koh, et al.. (2018). The ATR Inhibitor AZD6738 Synergizes with Gemcitabine In Vitro and In Vivo to Induce Pancreatic Ductal Adenocarcinoma Regression. Molecular Cancer Therapeutics. 17(8). 1670–1682. 79 indexed citations
14.
Jackson, Robert, Giovanni Y. Di Veroli, Siang‐Boon Koh, et al.. (2017). Modelling of the cancer cell cycle as a tool for rational drug development: A systems pharmacology approach to cyclotherapy. PLoS Computational Biology. 13(5). e1005529–e1005529. 8 indexed citations
15.
Harrington, Jennifer, Siang‐Boon Koh, Jeremy A. Pike, et al.. (2017). Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy. Methods. 115. 91–99. 12 indexed citations
16.
Koh, Siang‐Boon, Patrice Mascalchi, Esther Rodríguez, et al.. (2016). A quantitative FastFUCCI assay defines cell cycle dynamics at a single-cell level. Journal of Cell Science. 130(2). 512–520. 63 indexed citations
17.
Koh, Siang‐Boon, et al.. (2015). CHK1 Inhibition Synergizes with Gemcitabine Initially by Destabilizing the DNA Replication Apparatus. Cancer Research. 75(17). 3583–3595. 48 indexed citations
18.
Veroli, Giovanni Y. Di, Chiara Fornari, Ian S. Goldlust, et al.. (2015). An automated fitting procedure and software for dose-response curves with multiphasic features. Scientific Reports. 5(1). 14701–14701. 149 indexed citations
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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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