Timothy T. C. Yip

787 citations
19 papers · 562 · h-index 11

Impact in

Papers in

    • Viral-associated cancers and disorders 7
    • Polyomavirus and related diseases 3
    • Machine Learning in Bioinformatics 2
    • RNA modifications and cancer 2
    • Epigenetics and DNA Methylation 1

Timothy T. C. Yip

17 papers receiving 549 citations

Peers

Timothy T. C. Yip
Comparison fields: 5 of 76
  • Otorhinolaryngology 82
  • Oncology 192
  • Cancer Research 82
  • Spectroscopy 95
  • Infectious Diseases 70
Replace Victor Lopes with:
Victor Lopes United Kingdom
Charles Ming Lok Chan Hong Kong
Timothy T.C. Yip China
Kyung Whan Min United States
Isao Miyazaki Japan
Elena Muraro Italy
Hélio Humberto Angotti Carrara Brazil
D. Gwyn Bebb Canada
C. Ted Rigl United States
Su-Mei Cao China
Timothy T. C. Yip relative to Victor Lopes United Kingdom Victor Lopes's profile →
Citations per field
00.5×3.8×
Victor Lopes · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Timothy T. C. Yip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Timothy T. C. Yip Line = papers co-authored together Timothy T. C. Yip links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004167
2 200485
3 201483
4 199448
5 200936
6 200131
7 199829
8 200926
9 199319
10 201613
11 200712
12 19985
13 20093
14 19942
15 20141
16 20091
17 19981
18 20250
19
Circulating Epstein-Barr Virus DNA in Serum of Patients with Lymphoepithelioma-like Carcinoma of the Lung
20020

About Timothy T. C. Yip

Timothy T. C. Yip is a scholar working on Oncology, Molecular Biology, Otorhinolaryngology, Pathology and Forensic Medicine and Infectious Diseases, having authored 19 papers that have together received 562 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (7 papers), Head and Neck Cancer Studies (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Polyomavirus and related diseases (3 papers), Machine Learning in Bioinformatics (2 papers), RNA modifications and cancer (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Otorhinolaryngology (82 citations), Oncology (192 citations), Cancer Research (82 citations), Spectroscopy (95 citations) and Infectious Diseases (70 citations). Timothy T. C. Yip has collaborated with scholars based in China, Hong Kong and France. Frequent co-authors include Stephen C.K. Law, Roger K.C. Ngan, William C. Cho, Roger K.C. Ngan, W.H. Lau, Cadmon K.P. Lim, Tai-Tung Yip, Joseph S. K. Au, Christine Yip and Wai‐Hon Lau. Their work appears in journals such as Cancer, Clinical Cancer Research, Scientific Reports, Artificial Intelligence in Medicine and Clinical Chemistry.

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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