Nancy Chu
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Asthma and respiratory diseases
Papers in
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- Pharmacogenetics and Drug Metabolism 5
-
- Eicosanoids and Hypertension Pharmacology 3
- Co-authors
- Kwan Leung (10 shared papers)Leo Gu (2 shared papers)William A. Lee (1 shared paper)Andrew R. Miksztal (1 shared paper)Melvin D. Chaplin (7 shared papers)Jeff A. Zablocki (8 shared papers)Edward W. Swenson (1 shared paper)William C. Cooper (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (7 papers)Drug Metabolism and Disposition (3 papers)Pharmaceutical Research (2 papers)Analytical Biochemistry (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesRussiaPoland
In The Last Decade
Nancy Chu
22 papers receiving 769 citations
Peers
Comparison fields: 5 of 100
- Transplantation 139
- Physiology 126
- Pharmaceutical Science 36
- Pharmacology 48
- Biochemistry 35
Countries citing papers authored by Nancy Chu
This map shows the geographic impact of Nancy Chu'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 Nancy Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Chu more than expected).
Fields of papers citing papers by Nancy Chu
This network shows the impact of papers produced by Nancy Chu. 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 Nancy Chu. The network helps show where Nancy Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy Chu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 219 | |
| 2 | 2010 | 86 | |
| 3 | 1980 | 83 | |
| 4 | 2005 | 78 | |
| 5 | 2007 | 71 | |
| 6 | 2004 | 59 | |
| 7 | 2009 | 41 | |
| 8 | 2004 | 31 | |
| 9 | 2009 | 27 | |
| 10 | 2003 | 25 | |
| 11 | 1988 | 22 | |
| 12 | 1985 | 17 | |
| 13 | 1984 | 14 | |
| 14 | 1981 | 12 | |
| 15 | ICT AND CAUSALITY IN THE NEW ZEALAND ECONOMY | 2005 | 12 |
| 16 | 1987 | 10 | |
| 17 | 1979 | 10 | |
| 18 | 2003 | 9 | |
| 19 | 1982 | 8 | |
| 20 | 1991 | 8 |
About Nancy Chu
Nancy Chu is a scholar working on Pharmacology, Biochemistry, Pharmaceutical Science, Molecular Biology and Physiology, having authored 23 papers that have together received 854 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Cholesterol and Lipid Metabolism (2 papers), Biochemical and Molecular Research (2 papers), Analytical Chemistry and Chromatography (2 papers), Drug Solubulity and Delivery Systems (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Transplantation (139 citations), Physiology (126 citations), Pharmaceutical Science (36 citations), Pharmacology (48 citations) and Biochemistry (35 citations). Nancy Chu has collaborated with scholars based in United States, Russia and Poland. Frequent co-authors include Kwan Leung, Leo Gu, William A. Lee, Andrew R. Miksztal, Melvin D. Chaplin, Jeff A. Zablocki, Edward W. Swenson, William C. Cooper, Wendell H. Rooks and Clinton A. Nerenberg. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Drug Metabolism and Disposition, Pharmaceutical Research, Analytical Biochemistry and Nature Medicine.
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.