George W. Yip

1.1k total citations
33 papers, 875 citations indexed

About

George W. Yip is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, George W. Yip has authored 33 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cell Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in George W. Yip's work include Proteoglycans and glycosaminoglycans research (8 papers), Fibroblast Growth Factor Research (4 papers) and Breast Lesions and Carcinomas (3 papers). George W. Yip is often cited by papers focused on Proteoglycans and glycosaminoglycans research (8 papers), Fibroblast Growth Factor Research (4 papers) and Breast Lesions and Carcinomas (3 papers). George W. Yip collaborates with scholars based in Singapore, India and Iran. George W. Yip's co-authors include Boon‐Huat Bay, Sylvie Alonso, Wouter Schul, Scott Trasti, Jowin K. W. Ng, G.K. Tan, Sathiyamoorthy Selvarajan, Martin Götte, S. Nanjunda Swamy and N. R. Thimmegowda and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

George W. Yip

33 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George W. Yip Singapore 16 297 174 136 128 127 33 875
Małgorzata Firczuk Poland 19 675 2.3× 176 1.0× 48 0.4× 46 0.4× 152 1.2× 44 1.8k
Bethany E. Perez White United States 15 395 1.3× 76 0.4× 202 1.5× 38 0.3× 80 0.6× 37 1.1k
Qiao Qiao China 24 909 3.1× 156 0.9× 37 0.3× 127 1.0× 295 2.3× 78 1.6k
M. Monti Italy 18 451 1.5× 62 0.4× 96 0.7× 52 0.4× 119 0.9× 66 1.3k
Lyudmila Lyakh United States 16 486 1.6× 89 0.5× 108 0.8× 30 0.2× 163 1.3× 19 1.5k
Masatoshi Fujiwara Japan 21 461 1.6× 102 0.6× 70 0.5× 39 0.3× 44 0.3× 48 1.2k
Conor M. Henry Ireland 14 741 2.5× 85 0.5× 64 0.5× 31 0.2× 144 1.1× 18 1.6k
Yousef A. Fouad Egypt 10 429 1.4× 48 0.3× 46 0.3× 44 0.3× 183 1.4× 43 991
Gerhard Kolde Germany 18 279 0.9× 119 0.7× 98 0.7× 29 0.2× 36 0.3× 41 1.2k
Francesca Cerimele United States 16 477 1.6× 80 0.5× 120 0.9× 15 0.1× 76 0.6× 20 1.3k

Countries citing papers authored by George W. Yip

Since Specialization
Citations

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

Fields of papers citing papers by George W. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George W. Yip. 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 George W. Yip. The network helps show where George W. Yip may publish in the future.

Co-authorship network of co-authors of George W. Yip

This figure shows the co-authorship network connecting the top 25 collaborators of George W. Yip. A scholar is included among the top collaborators of George W. Yip 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 George W. Yip. George W. Yip 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.
Yip, George W., et al.. (2024). Nanoparticles as Drug Delivery Systems for the Targeted Treatment of Atherosclerosis. Molecules. 29(12). 2873–2873. 13 indexed citations
2.
Yip, George W., et al.. (2023). Precision medicine in myocardial infarction: Nanotheranostic strategies. SHILAP Revista de lepidopterología. 5(3). 1 indexed citations
3.
Chong, Alphonsus, et al.. (2022). Surgical Anatomy and Exercises Using the Chicken Thigh Sciatic Nerve for Microsurgery Training. Journal of Hand and Microsurgery. 15(5). 365–370. 4 indexed citations
4.
Parnigoni, Arianna, Ilaria Caon, Paola Moretto, et al.. (2022). The natural antisense transcript HAS2-AS1 regulates breast cancer cells aggressiveness independently from hyaluronan metabolism. Matrix Biology. 109. 140–161. 14 indexed citations
5.
Loo, Ser Yue, Nicholas Syn, Amudha Deivasigamani, et al.. (2021). Epigenetic derepression converts PPARγ into a druggable target in triple-negative and endocrine-resistant breast cancers. Cell Death Discovery. 7(1). 265–265. 12 indexed citations
6.
Shamshirian, Amir, Amir Reza Aref, George W. Yip, et al.. (2020). Diagnostic Value of Serum HER2 Levels in Breast Cancer: A Systematic Review and Meta-Analysis. Research Square. 1 indexed citations
7.
Parameswaran, Rajeev, et al.. (2020). Parathyroid allotransplantation to treat post-thyroidectomy hypoparathyroidism: A review of case studies. The Surgeon. 19(3). 183–192. 9 indexed citations
8.
Shamshirian, Amir, Amirhossein Hessami, Keyvan Heydari, et al.. (2020). The Role of Hydroxychloroquine in COVID-19 Treatment: A Systematic Review and Meta-Analysis. Annals of the Academy of Medicine Singapore. 9 indexed citations
9.
Yip, George W., et al.. (2019). Protecting-Group-Free Synthesis of Chondroitin 6-Sulfate Disaccharide and Tetrasaccharide. Organic Letters. 21(12). 4559–4562. 5 indexed citations
10.
Tan, Sharon Wui Sing, George W. Yip, Toshio Suda, & Gyeong Hun Baeg. (2017). Small Maf functions in the maintenance of germline stem cells in the Drosophila testis. Redox Biology. 15. 125–134. 21 indexed citations
11.
Koh, Valerie Cui Yun, Aye Aye Thike, Nur Diyana Md Nasir, et al.. (2017). Size and heterologous elements predict metastases in malignant phyllodes tumours of the breast. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 472(4). 615–621. 29 indexed citations
12.
Scully, Olivia Jane, et al.. (2012). Serglycin in Health and Diseases. The Anatomical Record. 295(9). 1415–1420. 23 indexed citations
13.
Tan, G.K., Jowin K. W. Ng, Scott Trasti, et al.. (2010). A Non Mouse-Adapted Dengue Virus Strain as a New Model of Severe Dengue Infection in AG129 Mice. PLoS neglected tropical diseases. 4(4). e672–e672. 125 indexed citations
14.
Bay, Boon‐Huat, et al.. (2009). Function of Sirtuins in Biological Tissues. The Anatomical Record. 292(4). 536–543. 51 indexed citations
15.
Thimmegowda, N. R., S. Nanjunda Swamy, C. S. Ananda Kumar, et al.. (2007). Synthesis, characterization and evaluation of benzimidazole derivative and its precursors as inhibitors of MDA-MB-231 human breast cancer cell proliferation. Bioorganic & Medicinal Chemistry Letters. 18(1). 432–435. 51 indexed citations
16.
Selvarajan, Sathiyamoorthy, et al.. (2007). Parafibromin expression in breast cancer: a novel marker for prognostication?. Journal of Clinical Pathology. 61(1). 64–67. 32 indexed citations
17.
18.
Du, Hongyan, Yinghui Li, Malini Olivo, George W. Yip, & Boon‐Huat Bay. (2006). Differential up-regulation of metallothionein isoforms in well-differentiated nasopharyngeal cancer cells in vitro by photoactivated hypericin. Oncology Reports. 16(6). 1397–402. 6 indexed citations
19.
Tan, Puay‐Hoon, Thiyagarajan Jayabaskar, George W. Yip, et al.. (2005). p53 and c-kit (CD117) protein expression as prognostic indicators in breast phyllodes tumors: a tissue microarray study. Modern Pathology. 18(12). 1527–1534. 81 indexed citations
20.
Zou, Xiaohui, Kelvin Weng Chiong Foong, Tong Cao, et al.. (2004). Chondroitin Sulfate in Palatal Wound Healing. Journal of Dental Research. 83(11). 880–885. 66 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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