Jennifer Yeung
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology 8
- Internal Medicine top 10%
- Hematology top 5%
- Acute Myeloid Leukemia Research 4
- Platelet Disorders and Treatments 4
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- Antiplatelet Therapy and Cardiovascular Diseases 4
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- Congenital heart defects research 2
- Protein Degradation and Inhibitors 2
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- Inflammatory mediators and NSAID effects 4
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- Alcohol Consumption and Health Effects 2
- Co-authors
- Michael HolinstatWenjie LiGregory G. TallTheodore R. HolmanAlexander VizurragaRashmi AdhikariBenjamin E. TourdotReheman Adili
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Jennifer Yeung
23 papers receiving 971 citations
Peers
Comparison fields: 5 of 97
- Biochemistry 160
- Internal Medicine 58
- Hematology 164
- Cardiology and Cardiovascular Medicine 183
- Molecular Biology 472
Countries citing papers authored by Jennifer Yeung
This map shows the geographic impact of Jennifer Yeung'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 Jennifer Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Yeung more than expected).
Fields of papers citing papers by Jennifer Yeung
This network shows the impact of papers produced by Jennifer Yeung. 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 Jennifer Yeung. The network helps show where Jennifer Yeung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Yeung, 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 | 2025 | 11 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 27 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2020 | 104 | |
| 8 | 2020 | 66 | |
| 9 | 2020 | 20 | |
| 10 | 2019 | 1 | |
| 11 | 2018 | 170 | |
| 12 | 2018 | 29 | |
| 13 | 2017 | 70 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 57 | |
| 16 | 2014 | 65 | |
| 17 | 2012 | 74 | |
| 18 | 2009 | 102 | |
| 19 | 2004 | 10 | |
| 20 | 1982 | 38 |
About Jennifer Yeung
Jennifer Yeung is a scholar working on Biochemistry, Hematology and Internal Medicine, having authored 24 papers that have together received 981 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (8 papers), Acute Myeloid Leukemia Research (4 papers), Platelet Disorders and Treatments (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (4 papers), Inflammatory mediators and NSAID effects (4 papers), Congenital heart defects research (2 papers), Protein Degradation and Inhibitors (2 papers) and Alcohol Consumption and Health Effects (2 papers). The work is most often cited by research in Biochemistry (160 citations), Internal Medicine (58 citations) and Hematology (164 citations). Jennifer Yeung has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael Holinstat, Wenjie Li, Gregory G. Tall, Theodore R. Holman, Alexander Vizurraga, Rashmi Adhikari, Benjamin E. Tourdot, Reheman Adili, John P. Morris and Michael T. McManus. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.