Edna F. Choo
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 12
- Drug-Induced Hepatotoxicity and Protection 5
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 9
- Virology top 5%
- Hematology top 5%
- Molecular Biology top 10%
- Melanoma and MAPK Pathways 20
- PI3K/AKT/mTOR signaling in cancer 9
- Protein Kinase Regulation and GTPase Signaling 5
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- Pharmacological Effects and Toxicity Studies 8
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- Computational Drug Discovery Methods 5
- Co-authors
- G. WilkinsonRichard B. KimAlastair J.J. WoodHitoshi ImamuraBrenda F. LeakeJason BoggsMarcia BelvinMark Merchant
- Cited by
- PharmacologyOncologyVirology
- Journals
- Cancer Research (5 papers)Clinical Cancer Research (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Edna F. Choo
53 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Pharmacology 286
- Oncology 797
- Virology 100
- Hematology 182
- Molecular Biology 1.0k
Countries citing papers authored by Edna F. Choo
This map shows the geographic impact of Edna F. Choo'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 Edna F. Choo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edna F. Choo more than expected).
Fields of papers citing papers by Edna F. Choo
This network shows the impact of papers produced by Edna F. Choo. 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 Edna F. Choo. The network helps show where Edna F. Choo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edna F. Choo, 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 | 2020 | 9 | |
| 2 | 2020 | 97 | |
| 3 | 2018 | 2 | |
| 4 | 2017 | 105 | |
| 5 | 2016 | 7 | |
| 6 | 2013 | 256 | |
| 7 | 2013 | 50 | |
| 8 | 2013 | 28 | |
| 9 | 2013 | 9 | |
| 10 | 2012 | 96 | |
| 11 | 2012 | 65 | |
| 12 | 2012 | 22 | |
| 13 | 2012 | 26 | |
| 14 | 2011 | 23 | |
| 15 | 2011 | 5 | |
| 16 | 2010 | 17 | |
| 17 | 2009 | 144 | |
| 18 | 2006 | 64 | |
| 19 | 2004 | 13 | |
| 20 | 2001 | 27 |
About Edna F. Choo
Edna F. Choo is a scholar working on Pharmacology, Oncology and Molecular Biology, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (20 papers), Pharmacogenetics and Drug Metabolism (12 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Drug Transport and Resistance Mechanisms (9 papers), Pharmacological Effects and Toxicity Studies (8 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Computational Drug Discovery Methods (5 papers) and Drug-Induced Hepatotoxicity and Protection (5 papers). The work is most often cited by research in Pharmacology (286 citations), Oncology (797 citations) and Virology (100 citations). Edna F. Choo has collaborated with scholars based in United States, Canada and France. Frequent co-authors include G. Wilkinson, Richard B. Kim, Alastair J.J. Wood, Hitoshi Imamura, Brenda F. Leake, Jason Boggs, Marcia Belvin, Mark Merchant, Justin Q. Ly and Klaus P. Hoeflich. Their work appears in journals such as Cancer Research, Clinical Cancer Research and Journal of Medicinal Chemistry.
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.