David Poon

1.7k citations
28 papers · 1.4k · h-index 17

Impact in

    • Genomics and Chromatin Dynamics
    • Protein Structure and Dynamics
    • Fungal and yeast genetics research
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments

Papers in

David Poon

28 papers receiving 1.3k citations

Peers

David Poon
Comparison fields: 5 of 59
  • Molecular Biology 877
  • Epidemiology 180
  • Radiology, Nuclear Medicine and Imaging 102
  • Spectroscopy 67
  • Biotechnology 27
Replace Magnus Lundqvist with:
Magnus Lundqvist Sweden
Per Jonasson Sweden
Takuo Suzuki Japan
S Utsumi Japan
Yoshio Taniyama Japan
Roberta Pascolutti United States
Maija Puhka Finland
Shuaixin Gao China
W. Mark Abbott United Kingdom
Bojana Popovic United Kingdom
David Poon relative to Magnus Lundqvist Sweden Magnus Lundqvist's profile →
Citations per field
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Magnus Lundqvist · 1×
Citations per year

Countries citing papers authored by David Poon

Since Specialization
Citations

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

Fields of papers citing papers by David Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996248
2 1998176
3 1989110
4 2013110
5 1995104
6 199381
7 199479
8 199657
9 199054
10 200654
11 199145
12 200740
13 200637
14 201632
15 198929
16 199726
17 199321
18 198917
19 200317
20 200617

About David Poon

David Poon is a scholar working on Molecular Biology, Spectroscopy, Geriatrics and Gerontology, Radiology, Nuclear Medicine and Imaging and Periodontics, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), Pancreatic function and diabetes (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Advanced NMR Techniques and Applications (2 papers), Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Enzyme Structure and Function (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Molecular Biology (877 citations), Epidemiology (180 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Spectroscopy (67 citations) and Biotechnology (27 citations). David Poon has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Peter Anthony Weil, Yu Bai, Kevin Struhl, Zarmik Moqtaderi, Nancy M. Sawtell, Richard Thompson, Stephen G. Withers, Lawrence P. McIntosh, Roland W. Stein and James Whelan. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, mAbs, Journal of Virology and Biochemistry.

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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