Daniel Choi

592 citations
15 papers · 377 · h-index 4

Impact in

    • Fluorine in Organic Chemistry
    • Catalytic C–H Functionalization Methods
    • Oxidative Organic Chemistry Reactions
    • Cyclopropane Reaction Mechanisms

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 10
    • Hemoglobinopathies and Related Disorders 1
    • Chronic Myeloid Leukemia Treatments 7
    • Acute Myeloid Leukemia Research 4

Daniel Choi

12 papers receiving 374 citations

Peers

Daniel Choi
Comparison fields: 5 of 52
  • Pharmaceutical Science 239
  • Organic Chemistry 187
  • Inorganic Chemistry 83
  • Radiology, Nuclear Medicine and Imaging 93
  • Process Chemistry and Technology 10
Replace Yangjie Huang with:
Yangjie Huang China
Romain Béjot United States
Sue Champion United Kingdom
Waseem Q. Anani United States
Tulin Okbinoglu France
Iris Ben‐David Israel
Oleksiy Itsenko Sweden
Gianluca Destro United Kingdom
Samuel Calderwood United Kingdom
Bao Hu China
Daniel Choi relative to Yangjie Huang China Yangjie Huang's profile →
Citations per field
00.5×3.2×
Yangjie Huang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Choi, 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 Daniel Choi Line = papers co-authored together Daniel Choi links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2011342
2 201717
3 20244
4 20224
5 20183
6 20241
7 20221
8 20221
9 20221
10 20211
11 20211
12 20171
13 20250
14 20230
15 20200

About Daniel Choi

Daniel Choi is a scholar working on Genetics, Hematology, Molecular Biology, Oncology and Rheumatology, having authored 15 papers that have together received 377 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Chronic Myeloid Leukemia Treatments (7 papers), Acute Myeloid Leukemia Research (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Kruppel-like factors research (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Pharmaceutical Science (239 citations), Organic Chemistry (187 citations), Inorganic Chemistry (83 citations), Radiology, Nuclear Medicine and Imaging (93 citations) and Process Chemistry and Technology (10 citations). Daniel Choi has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Gregory B. Boursalian, Eunsung Lee, Jacob M. Hooker, Adam S. Kamlet, David C. Powers, Takeru Furuya, Tobias Ritter, Constanze N. Neumann, Douglas Tremblay and Camelia Iancu‐Rubin. Their work appears in journals such as Blood, Clinical Cancer Research, Science, Leukemia and Blood Advances.

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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