Daniel J. Poon

1.3k citations
15 papers · 1.1k · h-index 11

Impact in

    • Catalytic C–H Functionalization Methods
    • Asymmetric Synthesis and Catalysis
    • Catalytic Cross-Coupling Reactions
    • Synthetic Organic Chemistry Methods
    • Chemical synthesis and alkaloids
    • Synthesis and Catalytic Reactions
    • Asymmetric Hydrogenation and Catalysis

Papers in

    • Asymmetric Synthesis and Catalysis 6
    • Catalytic Cross-Coupling Reactions 5
    • Chemical synthesis and alkaloids 4
    • Carbohydrate Chemistry and Synthesis 3
    • Synthetic Organic Chemistry Methods 3
    • Synthesis and biological activity 2
    • Cancer therapeutics and mechanisms 3
    • Melanoma and MAPK Pathways 2

Daniel J. Poon

15 papers receiving 1.1k citations

Peers

Daniel J. Poon
Comparison fields: 5 of 49
  • Organic Chemistry 1.0k
  • Inorganic Chemistry 173
  • Pharmacology 58
  • Pharmacology 90
  • Toxicology 16
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Daniel J. Poon relative to Thomas J. Paxton United States Thomas J. Paxton's profile →
Citations per field
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Thomas J. Paxton · 1×
Citations per year

Countries citing papers authored by Daniel J. Poon

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1998214
2 1998193
3 1998159
4 1993132
5 2000113
6 199790
7 200873
8 200659
9 201244
10 200035
11 199724
12 20105
13 19995
14 20091
15 20001

About Daniel J. Poon

Daniel J. Poon is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Pathology and Forensic Medicine and Oncology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Asymmetric Synthesis and Catalysis (6 papers), Catalytic Cross-Coupling Reactions (5 papers), Chemical synthesis and alkaloids (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Cancer therapeutics and mechanisms (3 papers), Synthetic Organic Chemistry Methods (3 papers), Melanoma and MAPK Pathways (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Organic Chemistry (1.0k citations), Inorganic Chemistry (173 citations), Pharmacology (58 citations), Pharmacology (90 citations) and Toxicology (16 citations). Daniel J. Poon has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Larry E. Overman, Atsuyuki Ashimori, T. MATSUURA, Benoit Bachand, Michael A. Calter, Steven P. Govek, William D. Schmitz, Curt A. Dvorak, David C. Pryde and A. I. MEYERS. Their work appears in journals such as Journal of the American Chemical Society, Tetrahedron Letters, Bioorganic & Medicinal Chemistry Letters, The Journal of Organic Chemistry and Journal of Medicinal Chemistry.

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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