Celestial T. Yap

3.5k total citations · 1 hit paper
38 papers, 2.1k citations indexed

About

Celestial T. Yap is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Celestial T. Yap has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in Celestial T. Yap's work include Microtubule and mitosis dynamics (6 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Celestial T. Yap is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Cancer-related molecular mechanisms research (6 papers) and MicroRNA in disease regulation (5 papers). Celestial T. Yap collaborates with scholars based in Singapore, Australia and United States. Celestial T. Yap's co-authors include Shuo Deng, Alan Prem Kumar, Gautam Sethi, Tuan Zea Tan, Mei Shan Ong, Ruby Yun‐Ju Huang, Boon Cher Goh, Muthu K. Shanmugam, Anupam Bishayee and Shazib Pervaiz and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Celestial T. Yap

37 papers receiving 2.1k citations

Hit Papers

Dual role of autophagy in hallmarks of cancer 2017 2026 2020 2023 2017 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
Celestial T. Yap Singapore 24 1.4k 533 493 332 311 38 2.1k
Phuongmai Nguyen United States 23 2.0k 1.5× 409 0.8× 422 0.9× 430 1.3× 274 0.9× 31 2.9k
Olivier Geneste France 22 1.7k 1.2× 435 0.8× 894 1.8× 353 1.1× 372 1.2× 35 2.7k
Paola Maycotte Mexico 20 1.3k 0.9× 472 0.9× 1.2k 2.4× 240 0.7× 189 0.6× 42 2.1k
Anja Jaeschke United States 21 1.6k 1.2× 244 0.5× 414 0.8× 325 1.0× 351 1.1× 30 2.5k
Changliang Shan China 28 1.4k 1.0× 887 1.7× 351 0.7× 262 0.8× 197 0.6× 70 2.1k
Chun Hei Antonio Cheung Taiwan 25 1.2k 0.9× 249 0.5× 234 0.5× 497 1.5× 298 1.0× 60 1.8k
Shengbing Huang United States 23 1.9k 1.4× 447 0.8× 1.2k 2.5× 567 1.7× 271 0.9× 39 2.9k
Qihan Dong Australia 29 1.4k 1.0× 405 0.8× 377 0.8× 631 1.9× 168 0.5× 83 2.5k
Prakash Priyadarshi Praharaj India 26 1.2k 0.9× 534 1.0× 588 1.2× 340 1.0× 120 0.4× 50 2.0k
Farhat L. Khanim United Kingdom 29 1.4k 1.0× 349 0.7× 348 0.7× 621 1.9× 399 1.3× 65 2.6k

Countries citing papers authored by Celestial T. Yap

Since Specialization
Citations

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

Fields of papers citing papers by Celestial T. Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Celestial T. Yap

This figure shows the co-authorship network connecting the top 25 collaborators of Celestial T. Yap. A scholar is included among the top collaborators of Celestial T. Yap 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 Celestial T. Yap. Celestial T. Yap 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.
Halim, Clarissa Esmeralda, Shuo Deng, Karen Crasta, & Celestial T. Yap. (2025). Interplay Between the Cytoskeleton and DNA Damage Response in Cancer Progression. Cancers. 17(8). 1378–1378.
3.
Taneja, Reshma, et al.. (2023). Large language models (ChatGPT) in medical education: Embrace or abjure?. The Asia Pacific Scholar. 8(4). 50–52. 1 indexed citations
4.
Ren, Yi, Jiaqing Chen, Mingzhu Tang, et al.. (2021). Oxidative stress-mediated AMPK inactivation determines the high susceptibility of LKB1-mutant NSCLC cells to glucose starvation. Free Radical Biology and Medicine. 166. 128–139. 26 indexed citations
5.
Ang, Hui Li, Yi Yuan, Xianning Lai, et al.. (2020). Putting the BRK on breast cancer: From molecular target to therapeutics. Theranostics. 11(3). 1115–1128. 19 indexed citations
6.
Deng, Shuo, Muthu K. Shanmugam, Alan Prem Kumar, et al.. (2019). Targeting autophagy using natural compounds for cancer prevention and therapy. Cancer. 125(8). 1228–1246. 259 indexed citations
7.
Tavakol, Shima, Milad Ashrafizadeh, Shuo Deng, et al.. (2019). Autophagy Modulators: Mechanistic Aspects and Drug Delivery Systems. Biomolecules. 9(10). 530–530. 69 indexed citations
8.
Ong, Mei Shan, Wanpei Cai, Tuan Zea Tan, et al.. (2018). Long Non-coding RNA Landscape in Colorectal Cancer. 5(1). 2 indexed citations
9.
Singh, Shikha Satendra, Somya Vats, Tuan Zea Tan, et al.. (2017). Dual role of autophagy in hallmarks of cancer. Oncogene. 37(9). 1142–1158. 444 indexed citations breakdown →
10.
Xie, Chen, Vinod Vijay Subhash, Arpita Datta, et al.. (2016). Melanoma associated antigen (MAGE)-A3 promotes cell proliferation and chemotherapeutic drug resistance in gastric cancer. Cellular Oncology. 39(2). 175–186. 28 indexed citations
11.
Cai, Wanpei, Zhi Xiong Chen, Grishma Rane, et al.. (2016). Wanted DEAD/H or Alive: Helicases Winding Up in Cancers. JNCI Journal of the National Cancer Institute. 109(6). djw278–djw278. 78 indexed citations
12.
Loo, Ser Yue, Jayshree L. Hirpara, Vijay Pandey, et al.. (2016). Manganese Superoxide Dismutase Expression Regulates the Switch Between an Epithelial and a Mesenchymal-Like Phenotype in Breast Carcinoma. Antioxidants and Redox Signaling. 25(6). 283–299. 45 indexed citations
13.
Khin, Lay Wai, Guo‐Dong Lu, Manuel Salto‐Tellez, et al.. (2015). HDAC1 and HDAC2 independently predict mortality in hepatocellular carcinoma by a competing risk regression model in a Southeast Asian population. Oncology Reports. 34(5). 2238–2250. 69 indexed citations
14.
Khin, Lay Wai, Benedict Yan, Chee Wee Ong, et al.. (2014). Sphingosine Kinase 1 Promotes Malignant Progression in Colon Cancer and Independently Predicts Survival of Patients With Colon Cancer by Competing Risk Approach in South Asian Population. Clinical and Translational Gastroenterology. 5(2). e51–e51. 34 indexed citations
15.
Low, Sharon Y. Y., Yoon Khei Ho, Heng‐Phon Too, Celestial T. Yap, & Wai Hoe Ng. (2013). MicroRNA as potential modulators in chemoresistant high-grade gliomas. Journal of Clinical Neuroscience. 21(3). 395–400. 37 indexed citations
16.
Deng, Shuo, et al.. (2012). Redox regulation of cancer cell migration and invasion. Mitochondrion. 13(3). 246–253. 143 indexed citations
17.
Huang, Baohua, et al.. (2012). PRAP1 is a novel executor of p53-dependent mechanisms in cell survival after DNA damage. Cell Death and Disease. 3(12). e442–e442. 24 indexed citations
18.
Tan, Ee Hong, Benedict Yan, J. Manikandan, et al.. (2012). Gelsolin Induces Colorectal Tumor Cell Invasion via Modulation of the Urokinase-Type Plasminogen Activator Cascade. PLoS ONE. 7(8). e43594–e43594. 65 indexed citations
19.
Yan, Benedict, Kakoli Das, Wai Hoe Ng, et al.. (2008). Characterization of Numb expression in astrocytomas. Neuropathology. 28(5). 479–484. 32 indexed citations
20.
Yan, Benedict, Celestial T. Yap, Shi Wang, et al.. (2008). Cofilin immunolabelling correlates with depth of invasion in gastrointestinal endocrine cell tumors. Acta Histochemica. 112(1). 101–106. 13 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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