Daniel Choi

608 citations
16 papers · 383 · 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
    • Chronic Myeloid Leukemia Treatments 6
    • Acute Myeloid Leukemia Research 4

Daniel Choi

14 papers receiving 380 citations

Peers

Daniel Choi
Comparison fields: 5 of 53
  • Pharmaceutical Science 238
  • Organic Chemistry 186
  • Inorganic Chemistry 83
  • Radiology, Nuclear Medicine and Imaging 89
  • Process Chemistry and Technology 10
Replace Sue Champion with:
Sue Champion United Kingdom
Yangjie Huang China
Tulin Okbinoglu France
Oleksiy Itsenko Sweden
Romain Béjot United States
Iris Ben‐David Israel
Samuel Calderwood United Kingdom
Gianluca Destro United Kingdom
Bao Hu China
Waseem Q. Anani United States
Daniel Choi relative to Sue Champion United Kingdom Sue Champion's profile →
Citations per field
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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

16 of 16 papers shown
#Work
1 2011343
2 201717
3 20226
4 20245
5 20183
6 20231
7 20221
8 20201
9 20171
10 20211
11 20241
12 20211
13 20221
14 20221
15 20250
16 20240

About Daniel Choi

Daniel Choi is a scholar working on Genetics, Hematology, Oncology, Rheumatology and Molecular Biology, having authored 16 papers that have together received 383 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper), Fluorine in Organic Chemistry (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Pharmaceutical Science (238 citations), Organic Chemistry (186 citations), Inorganic Chemistry (83 citations), Radiology, Nuclear Medicine and Imaging (89 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 Constanze N. Neumann, Takeru Furuya, Jacob M. Hooker, David C. Powers, Tobias Ritter, Eunsung Lee, Adam S. Kamlet, Gregory B. Boursalian, Douglas Tremblay and John Mascarenhas. Their work appears in journals such as Blood, Clinical Cancer Research, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Leukemia and Science.

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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