Nancy Chu

975 total citations
23 papers, 795 citations indexed

About

Nancy Chu is a scholar working on Molecular Biology, Pharmacology and Biochemistry. According to data from OpenAlex, Nancy Chu has authored 23 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Biochemistry. Recurrent topics in Nancy Chu's work include Pharmacogenetics and Drug Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Nancy Chu is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Nancy Chu collaborates with scholars based in United States, Switzerland and Belarus. Nancy Chu's co-authors include Kwan Leung, Leo Gu, Andrew R. Miksztal, William A. Lee, M. D. Chaplin, Jeff Zablocki, Edward W. Swenson, Wendell H. Rooks, C. Nerenberg and Ziad Hussein and has published in prestigious journals such as Nature Medicine, Analytical Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Nancy Chu

22 papers receiving 745 citations

Peers

Nancy Chu
Comparison fields: 5 of 99
  • Molecular Biology 268
  • Transplantation 137
  • Physiology 126
  • Physiology 109
  • Organic Chemistry 105
Replace David Hicks with:
David Hicks United States
Magotoshi Morii Japan
Thomas A. Morinelli United States
Timothy J. Furlong Australia
Guangqing Xiao United States
Magdalena Łomnicka Poland
Vani Nilakantan United States
Lu-Bin Lan United States
Sri Nagarjun Batchu Canada
Yumiko Urakami Japan
David Hicks United States View profile →
Citations per field, relative to Nancy Chu
Nancy Chu · 1×
Citations per year, relative to Nancy Chu
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Countries citing papers authored by Nancy Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nancy Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Chu. A scholar is included among the top collaborators of Nancy Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nancy Chu. Nancy Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 80
2 23
3 38
4 70
5 75
6
ICT AND CAUSALITY IN THE NEW ZEALAND ECONOMY
13
7 6
8 56
9 25
10 22
11 9
12 8
13 202
14 5
15 21
16 16
17 12
18 7
19 0
20 12

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.

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