Timothy T. C. Yip

786 total citations
18 papers, 561 citations indexed

About

Timothy T. C. Yip is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Timothy T. C. Yip has authored 18 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Timothy T. C. Yip's work include Viral-associated cancers and disorders (8 papers), Lymphoma Diagnosis and Treatment (5 papers) and Head and Neck Cancer Studies (4 papers). Timothy T. C. Yip is often cited by papers focused on Viral-associated cancers and disorders (8 papers), Lymphoma Diagnosis and Treatment (5 papers) and Head and Neck Cancer Studies (4 papers). Timothy T. C. Yip collaborates with scholars based in China, Hong Kong and France. Timothy T. C. Yip's co-authors include Stephen C.K. Law, Roger K.C. Ngan, Roger K.C. Ngan, William C. Cho, W.H. Lau, Cadmon K.P. Lim, Christine Yip, Joseph S. K. Au, Tai-Tung Yip and Wai‐Hon Lau and has published in prestigious journals such as Cancer, Cancer Research and Scientific Reports.

In The Last Decade

Timothy T. C. Yip

17 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy T. C. Yip China 11 250 229 107 96 85 18 561
Hélio Humberto Angotti Carrara Brazil 14 188 0.8× 158 0.7× 20 0.2× 111 1.2× 18 0.2× 53 544
Elena Muraro Italy 17 459 1.8× 209 0.9× 13 0.1× 147 1.5× 15 0.2× 40 869
S Ricci France 13 188 0.8× 223 1.0× 7 0.1× 127 1.3× 33 0.4× 18 531
Isao Miyazaki Japan 12 251 1.0× 215 0.9× 4 0.0× 45 0.5× 49 0.6× 35 651
Christiane Schewe Germany 13 204 0.8× 187 0.8× 4 0.0× 96 1.0× 41 0.5× 18 571
Kelly B. Engel United States 9 245 1.0× 395 1.7× 27 0.3× 304 3.2× 7 0.1× 13 780
Lyndal Anderson Australia 14 170 0.7× 217 0.9× 30 0.3× 105 1.1× 4 0.0× 51 768
Eliane T. Taube Germany 15 165 0.7× 175 0.8× 56 0.5× 70 0.7× 6 0.1× 53 637
Stacy Moore United States 8 203 0.8× 110 0.5× 25 0.2× 55 0.6× 5 0.1× 9 369
Simona Scalone Italy 16 410 1.6× 207 0.9× 13 0.1× 144 1.5× 4 0.0× 55 784

Countries citing papers authored by Timothy T. C. Yip

Since Specialization
Citations

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

Fields of papers citing papers by Timothy T. C. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy T. C. 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 Timothy T. C. Yip. The network helps show where Timothy T. C. Yip may publish in the future.

Co-authorship network of co-authors of Timothy T. C. Yip

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

All Works

18 of 18 papers shown
1.
Zhou, Zhuo, Roger K.C. Ngan, Joseph S. K. Au, et al.. (2016). Characterizing the malignancy and drug resistance of cancer cells from their membrane resealing response. Scientific Reports. 6(1). 26692–26692. 13 indexed citations
2.
Yip, Timothy T. C., et al.. (2014). Application of circulating plasma/serum EBV DNA in the clinical management of nasopharyngeal carcinoma. Oral Oncology. 50(6). 527–538. 83 indexed citations
3.
Ngan, Roger K.C., Dora L.�W. Kwong, Tim H.‐M. Huang, et al.. (2014). Abstract 2298: Methylated gene markers discovered in nasopharyngeal carcinoma by differential methylation hybridization (DMH) in high density CpG island DNA chips. Cancer Research. 74(19_Supplement). 2298–2298. 1 indexed citations
4.
Wang, Hongqiang, et al.. (2009). Method of regulatory network that can explore protein regulations for disease classification. Artificial Intelligence in Medicine. 48(2-3). 119–127. 3 indexed citations
5.
To, Ka‐Fai, Chit Chow, Kwong Wai Choy, et al.. (2009). Identification of a novel 12p13.3 amplicon in nasopharyngeal carcinoma. The Journal of Pathology. 220(1). 97–107. 36 indexed citations
6.
Wang, Hongqiang, Hau−San Wong, Hailong Zhu, & Timothy T. C. Yip. (2009). A neural network-based biomarker association information extraction approach for cancer classification. Journal of Biomedical Informatics. 42(4). 654–666. 26 indexed citations
7.
Wang, Hongqiang, et al.. (2009). MINING PROTEIN REGULATORY RELATIONSHIPS USING NEURAL NETWORK METHODS FOR EARLY PREDICTION OF SARS. Journal of Circuits Systems and Computers. 18(8). 1397–1407. 1 indexed citations
8.
Yip, Timothy T. C., William C. Cho, Johnny Wai Man Chan, et al.. (2007). Application of ProteinChip Array Profiling in Serum Biomarker Discovery for Patients Suffering From Severe Acute Respiratory Syndrome. Methods in molecular biology. 382. 313–331. 12 indexed citations
9.
10.
Cho, William C., Timothy T. C. Yip, Christine Yip, et al.. (2004). Identification of Serum Amyloid A Protein As a Potentially Useful Biomarker to Monitor Relapse of Nasopharyngeal Cancer by Serum Proteomic Profiling. Clinical Cancer Research. 10(1). 43–52. 167 indexed citations
11.
Ngan, Roger K.C., Timothy T. C. Yip, John K. C. Chan, et al.. (2002). Circulating Epstein-Barr Virus DNA in Serum of Patients with Lymphoepithelioma-like Carcinoma of the Lung. Clinical Cancer Research. 8(4). 986–994.
12.
Ngan, Roger K.C., W.H. Lau, Timothy T. C. Yip, et al.. (2001). Remarkable Application of Serum EBV EBER‐1 in Monitoring Response of Nasopharyngeal Cancer Patients to Salvage Chemotherapy. Annals of the New York Academy of Sciences. 945(1). 73–79. 31 indexed citations
13.
Bonnet, Mathilde, Sylvie Boutin, Timothy T. C. Yip, et al.. (1998). Amino-acid change in the Epstein-Barr-virus zebra protein in undifferentiated nasopharyngeal carcinomas from Europe and North Africa. International Journal of Cancer. 75(4). 497–503. 29 indexed citations
14.
Yip, Timothy T. C., W.H. Lau, John K. C. Chan, et al.. (1998). Prognostic significance of DNA flow cytometric analysis in patients with nasopharyngeal carcinoma. Cancer. 83(11). 2284–2292. 5 indexed citations
15.
Yip, Timothy T. C., et al.. (1998). Prognostic significance of DNA flow cytometric analysis in patients with nasopharyngeal carcinoma. Cancer. 83(11). 2284–2292. 1 indexed citations
16.
17.
Chan, John K. C., Timothy T. C. Yip, William Y.W. Tsang, et al.. (1994). Lack of Evidence of Pathogenetic Role of Epstein-Barr Virus in Thymic Lymphoid Hyperplasia and Thymomas in the Chinese Population of Hong Kong. International Journal of Surgical Pathology. 2(1). 17–22. 2 indexed citations
18.
Zimber‐Strobl, Ursula, et al.. (1993). Characterization of the Antibody Response to the Latent Infection Terminal Proteins of Epstein-Barr Virus in Patients with Nasopharyngeal Carcinoma. Journal of General Virology. 74(5). 811–818. 19 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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