Regina Wang

517 citations
14 papers · 371 · h-index 10

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Eicosanoids and Hypertension Pharmacology

Papers in

    • Ion channel regulation and function 2
    • Ion Transport and Channel Regulation 1
    • Eicosanoids and Hypertension Pharmacology 2
    • Amino Acid Enzymes and Metabolism 1

Regina Wang

13 papers receiving 355 citations

Peers

Regina Wang
Comparison fields: 5 of 80
  • Pharmacology 167
  • Biochemistry 34
  • Toxicology 15
  • Oncology 99
  • Computational Theory and Mathematics 45
Replace Lee Sun New with:
Lee Sun New Singapore
Tom Rushmore United States
Christine M. Dieckhaus United States
Laura Lowe Furge United States
Schroeder M. Noble United States
Qian Ruan United States
P E Sanders United States
Anna-Karin Sohlenius-Sternbeck Sweden
Angela Wolford United States
Kiyoshi Oketani Japan
Regina Wang relative to Lee Sun New Singapore Lee Sun New's profile →
Citations per field
00.5×1.5×2.1×
Lee Sun New · 1×
Citations per year

Countries citing papers authored by Regina Wang

Since Specialization
Citations

This map shows the geographic impact of Regina 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 Regina Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Regina Wang more than expected).

Fields of papers citing papers by Regina Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Regina 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 Regina Wang. The network helps show where Regina Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Regina Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Regina Wang Line = papers co-authored together Regina Wang links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2000229
2 198733
3 198425
4 198314
5 199712
6 199011
7 198611
8 198410
9 19869
10 20159
11 20204
12 19863
13 20191
14 20240

About Regina Wang

Regina Wang is a scholar working on Molecular Biology, Biochemistry, Genetics, Public Health, Environmental and Occupational Health and Pharmacology, having authored 14 papers that have together received 371 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Ion channel regulation and function (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Ion Transport and Channel Regulation (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmacology (167 citations), Biochemistry (34 citations), Toxicology (15 citations), Oncology (99 citations) and Computational Theory and Mathematics (45 citations). Regina Wang has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Ian McIntosh, Thomas A. Baillie, Kwan Leung, Dennis Dean, Kelem Kassahun, George A. Doss, Charles S. Elmore, Wei Tang, Paul G. Pearson and Anthony Y.H. Lu. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical Pharmacology, Journal of Medicinal Chemistry, Journal of Biological Chemistry and Chemico-Biological Interactions.

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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