Christine Yip
Impact in
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Ovarian cancer diagnosis and treatment 9
-
- Advanced Proteomics Techniques and Applications 7
- Co-authors
- Eric T. Fung (12 shared papers)Tai-Tung Yip (4 shared papers)Victor Yip (2 shared papers)Zheng Wang (3 shared papers)Lee Lomas (5 shared papers)William Chi Shing Cho (4 shared papers)Tony S.K. Mok (1 shared paper)Terence Chuen Wai Poon (1 shared paper)
- Journals
- Clinical Chemistry (3 papers)Gynecologic Oncology (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (2 papers)HemaSphere (1 paper)Clinical Proteomics (1 paper)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Christine Yip
21 papers receiving 914 citations
Peers
Comparison fields: 5 of 64
- Spectroscopy 434
- Reproductive Medicine 159
- Otorhinolaryngology 49
- Hepatology 59
- Cancer Research 65
Countries citing papers authored by Christine Yip
This map shows the geographic impact of Christine 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 Christine Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Yip more than expected).
Fields of papers citing papers by Christine Yip
This network shows the impact of papers produced by Christine 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 Christine Yip. The network helps show where Christine Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Christine 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 200 | |
| 2 | 2004 | 176 | |
| 3 | 2005 | 152 | |
| 4 | 2006 | 88 | |
| 5 | 2011 | 69 | |
| 6 | 2007 | 37 | |
| 7 | 2007 | 32 | |
| 8 | 2012 | 30 | |
| 9 | 2010 | 29 | |
| 10 | 2011 | 24 | |
| 11 | 2004 | 22 | |
| 12 | 2010 | 19 | |
| 13 | 2014 | 12 | |
| 14 | 2007 | 11 | |
| 15 | 2008 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2004 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2009 | 5 | |
| 20 | 2017 | 4 |
About Christine Yip
Christine Yip is a scholar working on Reproductive Medicine, Spectroscopy, Otorhinolaryngology, Hematology and Statistics, Probability and Uncertainty, having authored 21 papers that have together received 945 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Advanced Proteomics Techniques and Applications (7 papers), Head and Neck Cancer Studies (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Mast cells and histamine (1 paper), Iron Metabolism and Disorders (1 paper), Multiple Myeloma Research and Treatments (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Spectroscopy (434 citations), Reproductive Medicine (159 citations), Otorhinolaryngology (49 citations), Hepatology (59 citations) and Cancer Research (65 citations). Christine Yip has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Eric T. Fung, Tai-Tung Yip, Victor Yip, Zheng Wang, Lee Lomas, William Chi Shing Cho, Tony S.K. Mok, Terence Chuen Wai Poon, Thomas W. T. Leung and Philip James Johnson. Their work appears in journals such as Clinical Chemistry, Gynecologic Oncology, PROTEOMICS - CLINICAL APPLICATIONS, HemaSphere and Clinical Proteomics.
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.