Danielle Choi
Impact in
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- Cancer Genomics and Diagnostics
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Protein Degradation and Inhibitors 2
- Histone Deacetylase Inhibitors Research 1
- Melanoma and MAPK Pathways 1
- Extracellular vesicles in disease 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Prostate Cancer Treatment and Research 7
- Co-authors
- Charles L. Sawyers (8 shared papers)Wouter R. Karthaus (4 shared papers)Anuradha Gopalan (5 shared papers)Katia Manova (1 shared paper)Wassim Abida (2 shared papers)Alborz Bejnood (1 shared paper)Linas Mažutis (1 shared paper)Ignas Masilionis (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Molecular Cancer Therapeutics (1 paper)Science (1 paper)Nature Communications (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Danielle Choi
10 papers receiving 286 citations
Peers
Comparison fields: 5 of 64
- Cancer Research 87
- Pulmonary and Respiratory Medicine 141
- Oncology 79
- Molecular Biology 147
- Urology 9
Countries citing papers authored by Danielle Choi
This map shows the geographic impact of Danielle Choi'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 Danielle Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Choi more than expected).
Fields of papers citing papers by Danielle Choi
This network shows the impact of papers produced by Danielle Choi. 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 Danielle Choi. The network helps show where Danielle Choi may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Choi, 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 | 170 | |
| 2 | 2006 | 31 | |
| 3 | 2021 | 18 | |
| 4 | 2019 | 16 | |
| 5 | 2021 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2013 | 9 | |
| 9 | 2020 | 8 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 0 |
About Danielle Choi
Danielle Choi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Hematology, having authored 11 papers that have together received 294 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Melanoma and MAPK Pathways (1 paper), Extracellular vesicles in disease (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cancer Research (87 citations), Pulmonary and Respiratory Medicine (141 citations), Oncology (79 citations), Molecular Biology (147 citations) and Urology (9 citations). Danielle Choi has collaborated with scholars based in United States and China. Frequent co-authors include Charles L. Sawyers, Wouter R. Karthaus, Anuradha Gopalan, Katia Manova, Wassim Abida, Alborz Bejnood, Linas Mažutis, Ignas Masilionis, Dana Pe’er and Brett F. Carver. Their work appears in journals such as Journal of Visualized Experiments, Molecular Cancer Therapeutics, Science, Nature Communications and Bioinformatics.
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.