Timothy T. C. Yip
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Oncology top 10%
- Viral-associated cancers and disorders
- Polyomavirus and related diseases
Papers in
-
- Machine Learning in Bioinformatics 3
- RNA modifications and cancer 3
- Oncology 9
- Viral-associated cancers and disorders 8
- Polyomavirus and related diseases 3
- Co-authors
- Stephen C.K. Law (6 shared papers)Roger K.C. Ngan (5 shared papers)William C. Cho (5 shared papers)Roger K.C. Ngan (6 shared papers)W.H. Lau (5 shared papers)Cadmon K.P. Lim (2 shared papers)Tai-Tung Yip (2 shared papers)Christine Yip (2 shared papers)
In The Last Decade
Timothy T. C. Yip
17 papers receiving 548 citations
Peers
Comparison fields: 5 of 81
- Otorhinolaryngology 85
- Oncology 250
- Spectroscopy 107
- Cancer Research 96
- Infectious Diseases 79
Countries citing papers authored by Timothy T. C. Yip
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 167 | |
| 2 | 2004 | 84 | |
| 3 | 2014 | 83 | |
| 4 | 1994 | 48 | |
| 5 | 2009 | 36 | |
| 6 | 2001 | 31 | |
| 7 | 1998 | 29 | |
| 8 | 2009 | 26 | |
| 9 | 1993 | 19 | |
| 10 | 2016 | 13 | |
| 11 | 2007 | 12 | |
| 12 | 1998 | 5 | |
| 13 | 2009 | 3 | |
| 14 | 1994 | 2 | |
| 15 | 2014 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 1998 | 1 | |
| 18 | Circulating Epstein-Barr Virus DNA in Serum of Patients with Lymphoepithelioma-like Carcinoma of the Lung | 2002 | 0 |
About Timothy T. C. Yip
Timothy T. C. Yip is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Infectious Diseases and Otorhinolaryngology, having authored 18 papers that have together received 561 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (8 papers), Lymphoma Diagnosis and Treatment (5 papers), Head and Neck Cancer Studies (4 papers), Machine Learning in Bioinformatics (3 papers), Polyomavirus and related diseases (3 papers), RNA modifications and cancer (3 papers), Parvovirus B19 Infection Studies (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Otorhinolaryngology (85 citations), Oncology (250 citations), Spectroscopy (107 citations), Cancer Research (96 citations) and Infectious Diseases (79 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, Christine Yip, Joseph S. K. Au and Victor Yip. Their work appears in journals such as Cancer, Clinical Cancer Research, Artificial Intelligence in Medicine, Scientific Reports and Oral Oncology.
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.