Danielle Choi

931 total citations
11 papers, 294 citations indexed

About

Danielle Choi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Danielle Choi has authored 11 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Danielle Choi's work include Prostate Cancer Treatment and Research (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Degradation and Inhibitors (2 papers). Danielle Choi is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Degradation and Inhibitors (2 papers). Danielle Choi collaborates with scholars based in United States and China. Danielle Choi's co-authors include Charles L. Sawyers, Wouter R. Karthaus, Anuradha Gopalan, Dana Pe’er, Ojasvi Chaudhary, Moshe Biton, Katia Manova, Vincent P. Laudone, Brett F. Carver and Tianhao Xu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Danielle Choi

10 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danielle Choi United States	9	147	141	87	79	25	11	294
Ian Pedley United Kingdom	7	118 0.8×	179 1.3×	77 0.9×	81 1.0×	14 0.6×	22	287
Subhasree Balakrishnan United States	3	211 1.4×	76 0.5×	79 0.9×	88 1.1×	32 1.3×	3	299
Marianna Sirico Italy	12	172 1.2×	125 0.9×	129 1.5×	199 2.5×	37 1.5×	34	406
Bharani Dharan United States	6	152 1.0×	120 0.9×	59 0.7×	144 1.8×	24 1.0×	10	324
Edna R. Gordián United States	10	232 1.6×	99 0.7×	112 1.3×	80 1.0×	18 0.7×	21	330
David T. Hoang United States	5	114 0.8×	113 0.8×	64 0.7×	76 1.0×	14 0.6×	7	256
Sheng-Bang Yang China	10	218 1.5×	88 0.6×	160 1.8×	81 1.0×	41 1.6×	16	348
Louie Semaan United States	8	169 1.1×	139 1.0×	88 1.0×	106 1.3×	46 1.8×	10	347
Saravut J. Weroha United States	8	223 1.5×	94 0.7×	85 1.0×	136 1.7×	29 1.2×	19	349
Andrea Wunderlich Germany	5	195 1.3×	62 0.4×	111 1.3×	140 1.8×	39 1.6×	5	360

Countries citing papers authored by Danielle Choi

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Choi. A scholar is included among the top collaborators of Danielle Choi 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 Danielle Choi. Danielle Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Mao, Ninghui, Zeda Zhang, Young Sun Lee, et al.. (2021). Defining the therapeutic selective dependencies for distinct subtypes of PI3K pathway-altered prostate cancers. Nature Communications. 12(1). 5053–5053. 18 indexed citations

2.

Feng, Weiran, Zhen Cao, Pei Xin Lim, et al.. (2021). Rapid interrogation of cancer cell of origin through CRISPR editing. Proceedings of the National Academy of Sciences. 118(32). 14 indexed citations

3.

Karthaus, Wouter R., Matan Hofree, Danielle Choi, et al.. (2020). Regenerative potential of prostate luminal cells revealed by single-cell analysis. Science. 368(6490). 497–505. 170 indexed citations

4.

Mao, Ninghui, Dong Gao, Wenhuo Hu, et al.. (2020). Oncogenic ERG Represses PI3K Signaling through Downregulation of IRS2. Cancer Research. 80(7). 1428–1437. 8 indexed citations

5.

Pappas, Kyrie, Danielle Choi, Charles L. Sawyers, & Wouter R. Karthaus. (2019). Prostate Organoid Cultures as Tools to Translate Genotypes and Mutational Profiles to Pharmacological Responses. Journal of Visualized Experiments. 13 indexed citations

6.

Lee, Eugine, John Wongvipat, Danielle Choi, et al.. (2019). GREB1 amplifies androgen receptor output in human prostate cancer and contributes to antiandrogen resistance. eLife. 8. 16 indexed citations

7.

Pappas, Kyrie, Danielle Choi, Charles L. Sawyers, & Wouter R. Karthaus. (2019). Prostate Organoid Cultures as Tools to Translate Genotypes and Mutational Profiles to Pharmacological Responses. Journal of Visualized Experiments. 2 indexed citations

8.

Mao, Ninghui, Dong Gao, Wenhuo Hu, et al.. (2019). Aberrant Expression of ERG Promotes Resistance to Combined PI3K and AR Pathway Inhibition through Maintenance of AR Target Genes. Molecular Cancer Therapeutics. 18(9). 1577–1586. 13 indexed citations

9.

Zhang, Zeda, Wouter R. Karthaus, José Maurício Mota, et al.. (2019). Abstract 111: Tumor microenvironment derived NRG1 promotes antiandrogen resistance in prostate cancer. Tumor Biology. 111–111.

10.

Biran, Noa, Sundar Jagannath, Hearn Jay Cho, et al.. (2013). A Phase II, Single-Center, Open-Label Study Of Oral Panobinostat In Combination With Lenalidomide and Weekly Dexamethasone In Patients With Multiple Myeloma. Blood. 122(21). 5392–5392. 9 indexed citations

11.

Xirasagar, Sandhya, Chengcheng Huang, Jennifer Fostel, et al.. (2006). Chemical effects in biological systems (CEBS) object model for toxicology data, SysTox-OM: design and application. Bioinformatics. 22(7). 874–882. 31 indexed citations

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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