Christopher Yip
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer
- Receptor Mechanisms and Signaling
- Lipid Membrane Structure and Behavior
Papers in
- Surgery 36
- Pancreatic function and diabetes 29
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- Metabolism, Diabetes, and Cancer 14
- Glycosylation and Glycoproteins Research 7
- Receptor Mechanisms and Signaling 5
- Co-authors
- Margaret L. Moule (10 shared papers)Clement W.T. Yeung (4 shared papers)V M Watt (2 shared papers)S J Klebanoff (4 shared papers)Philip Seeman (1 shared paper)D H MacLennan (1 shared paper)T.G. Flynn (2 shared papers)Daniel S. Kessler (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Biological Chemistry (7 papers)Diabetes (5 papers)Diabetologia (4 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Christopher Yip
71 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 402
- Molecular Biology 936
- Surgery 473
- Cell Biology 171
- Physiology 189
Countries citing papers authored by Christopher Yip
This map shows the geographic impact of Christopher 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 Christopher Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Yip more than expected).
Fields of papers citing papers by Christopher Yip
This network shows the impact of papers produced by Christopher 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 Christopher Yip. The network helps show where Christopher Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 206 | |
| 2 | 1973 | 165 | |
| 3 | 1989 | 106 | |
| 4 | 1962 | 92 | |
| 5 | 1985 | 86 | |
| 6 | 1986 | 75 | |
| 7 | 1995 | 68 | |
| 8 | 1982 | 46 | |
| 9 | 1992 | 40 | |
| 10 | 1979 | 37 | |
| 11 | 1983 | 34 | |
| 12 | 1989 | 33 | |
| 13 | 1971 | 31 | |
| 14 | 1995 | 30 | |
| 15 | 1968 | 29 | |
| 16 | 2015 | 28 | |
| 17 | 1975 | 26 | |
| 18 | 2017 | 26 | |
| 19 | 2020 | 24 | |
| 20 | 1969 | 23 |
About Christopher Yip
Christopher Yip is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics and Physiology, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Metabolism, Diabetes, and Cancer (14 papers), Diabetes and associated disorders (8 papers), Glycosylation and Glycoproteins Research (7 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Receptor Mechanisms and Signaling (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (402 citations), Molecular Biology (936 citations), Surgery (473 citations), Cell Biology (171 citations) and Physiology (189 citations). Christopher Yip has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Margaret L. Moule, Clement W.T. Yeung, V M Watt, S J Klebanoff, Philip Seeman, D H MacLennan, T.G. Flynn, Daniel S. Kessler, T L Delovitch and M. Laurie Phillips. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Diabetes, Diabetologia and Biochemical and Biophysical Research Communications.
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.