Christina Wang
- Reproductive Medicine top 2%
- Ovarian function and disorders 3
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- Hormonal and reproductive studies 3
- Virology top 10%
- Behavioral Neuroscience top 10%
- Microbiology top 10%
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- Reproductive Biology and Fertility 3
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- Cancer-related gene regulation 3
- Hedgehog Signaling Pathway Studies 3
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- Cardiac Valve Diseases and Treatments 3
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- Estrogen and related hormone effects 3
- Genetic and Kidney Cyst Diseases 3
- Co-authors
- Gregory F. EricksonAaron J.W. HsuehMeike L. UhlerSteven Y.W. ChanChi-Sing LeungVivian ChanROSE T. T. YEUNGDonald P. Lookingbill
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Christina Wang
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Reproductive Medicine 324
- Endocrinology, Diabetes and Metabolism 411
- Virology 62
- Behavioral Neuroscience 35
- Microbiology 58
Countries citing papers authored by Christina Wang
This map shows the geographic impact of Christina Wang'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 Christina Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Wang more than expected).
Fields of papers citing papers by Christina Wang
This network shows the impact of papers produced by Christina Wang. 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 Christina Wang. The network helps show where Christina Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christina Wang, 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 | 2024 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 10 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 36 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 9 | |
| 9 | 2018 | 115 | |
| 10 | 2010 | 11 | |
| 11 | A mathematical model for glioma growth and invasion links biological aggressiveness assessed by MRI with hypoxia assessed by FMISO-PET | 2007 | 2 |
| 12 | 2001 | 131 | |
| 13 | 2000 | 82 | |
| 14 | 1992 | 130 | |
| 15 | 1992 | 38 | |
| 16 | 1991 | 143 | |
| 17 | 1989 | 13 | |
| 18 | 1987 | 12 | |
| 19 | 1982 | 41 | |
| 20 | 1982 | 47 |
About Christina Wang
Christina Wang is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (3 papers), Hormonal and reproductive studies (3 papers), Cancer-related gene regulation (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Ovarian function and disorders (3 papers), Estrogen and related hormone effects (3 papers) and Genetic and Kidney Cyst Diseases (3 papers). The work is most often cited by research in Reproductive Medicine (324 citations), Endocrinology, Diabetes and Metabolism (411 citations) and Virology (62 citations). Christina Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Gregory F. Erickson, Aaron J.W. Hsueh, Meike L. Uhler, Steven Y.W. Chan, Chi-Sing Leung, Vivian Chan, ROSE T. T. YEUNG, Vivian Chan, Donald P. Lookingbill and Roger S. Rittmaster. Their work appears in journals such as The Journal of Cell Biology, Gastroenterology and PLoS ONE.
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.