Daniel Choi

592 total citations
15 papers, 377 citations indexed

About

Daniel Choi is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Daniel Choi has authored 15 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 10 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in Daniel Choi's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Acute Myeloid Leukemia Research (4 papers). Daniel Choi is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Acute Myeloid Leukemia Research (4 papers). Daniel Choi collaborates with scholars based in United States, Switzerland and Poland. Daniel Choi's co-authors include Constanze N. Neumann, Adam S. Kamlet, Tobias Ritter, Gregory B. Boursalian, David C. Powers, Eunsung Lee, Takeru Furuya, Jacob M. Hooker, John Mascarenhas and Douglas Tremblay and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daniel Choi

12 papers receiving 374 citations

Peers

Daniel Choi
Sue Champion United Kingdom
Romain Béjot United States
Gianluca Destro United Kingdom
Mihir D. Parikh United States
Waseem Q. Anani United States
Samuel Calderwood United Kingdom
Sue Champion United Kingdom
Daniel Choi
Citations per year, relative to Daniel Choi Daniel Choi (= 1×) peers Sue Champion

Countries citing papers authored by Daniel Choi

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Choi

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

All Works

15 of 15 papers shown
2.
Choi, Daniel, Ghaith Abu‐Zeinah, Pouneh Kermani, et al.. (2024). Hematopoietic Bias Drives Lymphopenia in Myeloproliferative Neoplasms. Blood. 144(Supplement 1). 1764–1764. 1 indexed citations
3.
Choi, Daniel, Ghaith Abu‐Zeinah, Pouneh Kermani, et al.. (2024). JAK2V617F impairs lymphoid differentiation in myeloproliferative neoplasms. Leukemia. 38(11). 2487–2491. 4 indexed citations
4.
Choi, Daniel, et al.. (2023). JAK2 V617F Impairs Lymphoid Differentiation in Myeloproliferative Neoplasms. Blood. 142(Supplement 1). 1778–1778.
5.
Abu‐Zeinah, Ghaith, Silvana Di Giandomenico, Daniel Choi, et al.. (2022). Hematopoietic fitness of JAK2V617F myeloproliferative neoplasms is linked to clinical outcome. Blood Advances. 6(18). 5477–5481. 4 indexed citations
6.
Okabe, Rachel, Alexandra Schurer, Meng Tong, et al.. (2022). Crizotinib Has Preclinical Efficacy in Philadelphia-Negative Myeloproliferative Neoplasms. Clinical Cancer Research. 29(5). 943–956. 1 indexed citations
7.
Choi, Daniel, et al.. (2022). JAK2 V617F Impairs T Cell Differentiation in Polycythemia Vera. Blood. 140(Supplement 1). 6746–6747. 1 indexed citations
9.
Abu‐Zeinah, Ghaith, Silvana Di Giandomenico, Daniel Choi, et al.. (2021). Hematopoietic Stem and Progenitor Cell Fitness As a Novel Prognostic and Monitoring Biomarker for JAK2 V617F Myeloproliferative Neoplasms (MPNs). Blood. 138(Supplement 1). 627–627. 1 indexed citations
10.
Okabe, Rachel, Meng Tong, Daniel Choi, et al.. (2021). RON Kinase Is a Novel Therapeutic Target for Philadelphia-Negative Myeloproliferative Neoplasms. Blood. 138(Supplement 1). 1462–1462. 1 indexed citations
11.
Choi, Daniel, et al.. (2020). Hematology Consultations during the COVID-19 Pandemic at a University Medical Center. Blood. 136(Supplement 1). 1–2.
12.
Vincent, Krista M., Scott D. Findlay, Daniel Choi, et al.. (2018). 61 Functional characterization of ribosomal RNA methyltransferase NSUN5 in glioblastoma. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 45(S3). S10–S11. 3 indexed citations
13.
Choi, Daniel, Douglas Tremblay, Camelia Iancu‐Rubin, & John Mascarenhas. (2017). Programmed cell death-1 pathway inhibition in myeloid malignancies: implications for myeloproliferative neoplasms. Annals of Hematology. 96(6). 919–927. 17 indexed citations
14.
Choi, Daniel, et al.. (2017). Extensive Intracardiac and Deep Venous Thromboses in a Young Woman with Heparin-Induced Thrombocytopenia and May-Thurner Syndrome. SHILAP Revista de lepidopterología. 2017. 1–4. 1 indexed citations
15.
Lee, Eunsung, Adam S. Kamlet, David C. Powers, et al.. (2011). A Fluoride-Derived Electrophilic Late-Stage Fluorination Reagent for PET Imaging. Science. 334(6056). 639–642. 342 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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2026