David Poon
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Virology top 10%
Papers in
-
- Genomics and Chromatin Dynamics 9
- RNA Research and Splicing 6
- Fungal and yeast genetics research 5
- RNA and protein synthesis mechanisms 5
- DNA Repair Mechanisms 2
- Glycosylation and Glycoproteins Research 2
- Co-authors
- P. Anthony Weil (14 shared papers)Yu Bai (3 shared papers)Andrew Campbell (3 shared papers)Kevin Struhl (1 shared paper)Zarmik Moqtaderi (1 shared paper)Richard Thompson (1 shared paper)Nancy Sawtell (1 shared paper)Stephen G. Withers (6 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Molecular and Cellular Biology (5 papers)Biochemistry (2 papers)Journal of Virology (2 papers)mAbs (2 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
David Poon
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.2k
- Virology 53
- Genetics 227
- Immunology 133
- Biotechnology 55
Countries citing papers authored by David Poon
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
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.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 258 | |
| 2 | 1998 | 172 | |
| 3 | 1994 | 130 | |
| 4 | 1995 | 113 | |
| 5 | 1989 | 111 | |
| 6 | 2013 | 98 | |
| 7 | 1993 | 83 | |
| 8 | 1994 | 81 | |
| 9 | 1996 | 59 | |
| 10 | 2006 | 53 | |
| 11 | 1990 | 52 | |
| 12 | 1991 | 47 | |
| 13 | 2007 | 38 | |
| 14 | 2006 | 36 | |
| 15 | 2016 | 32 | |
| 16 | 1989 | 29 | |
| 17 | 1997 | 26 | |
| 18 | 1993 | 22 | |
| 19 | 1989 | 18 | |
| 20 | 2006 | 17 |
About David Poon
David Poon is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Plant Science and Materials Chemistry, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), RNA Research and Splicing (6 papers), Fungal and yeast genetics research (5 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (3 papers), Enzyme Production and Characterization (3 papers), DNA Repair Mechanisms (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Virology (53 citations), Genetics (227 citations), Immunology (133 citations) and Biotechnology (55 citations). David Poon has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include P. Anthony Weil, Yu Bai, Andrew Campbell, Kevin Struhl, Zarmik Moqtaderi, Richard Thompson, Nancy Sawtell, Stephen G. Withers, Roger D. Kornberg and James Whelan. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Biochemistry, Journal of Virology and mAbs.
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.