Peter G. Ng
Impact in
- Molecular Biology top 10%
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Chemical Synthesis and Analysis
- Biotechnology top 10%
Papers in
-
- DNA and Nucleic Acid Chemistry 7
- Advanced biosensing and bioanalysis techniques 4
- RNA and protein synthesis mechanisms 1
-
- Organophosphorus compounds synthesis 2
- Click Chemistry and Applications 1
- Synthesis and Characterization of Heterocyclic Compounds 1
- Co-authors
- Brian C. Froehler (2 shared papers)James A. Wells (2 shared papers)Mark D. Matteucci (2 shared papers)Parkash Jhurani (4 shared papers)Brian C. Cunningham (1 shared paper)Mark Matteucci (1 shared paper)John P. Burnier (1 shared paper)Thomas P. Graycar (1 shared paper)
- Journals
- Nucleic Acids Research (6 papers)Science (2 papers)Nucleosides and Nucleotides (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Peter G. Ng
9 papers receiving 867 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 730
- Biotechnology 76
- Endocrinology, Diabetes and Metabolism 111
- Organic Chemistry 155
- Radiology, Nuclear Medicine and Imaging 107
Countries citing papers authored by Peter G. Ng
This map shows the geographic impact of Peter G. Ng'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 Peter G. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter G. Ng more than expected).
Fields of papers citing papers by Peter G. Ng
This network shows the impact of papers produced by Peter G. Ng. 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 Peter G. Ng. The network helps show where Peter G. Ng may publish in the future.
Co-authors
The 15 scholars most cited alongside Peter G. Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 301 | |
| 2 | 1986 | 301 | |
| 3 | 1986 | 198 | |
| 4 | 1988 | 92 | |
| 5 | 1990 | 35 | |
| 6 | 1987 | 6 | |
| 7 | 1987 | 6 | |
| 8 | 1990 | 5 | |
| 9 | 1990 | 2 |
About Peter G. Ng
Peter G. Ng is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 946 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (7 papers), Advanced biosensing and bioanalysis techniques (4 papers), Organophosphorus compounds synthesis (2 papers), RNA and protein synthesis mechanisms (1 paper), Click Chemistry and Applications (1 paper), Enzyme Production and Characterization (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Synthesis and Characterization of Heterocyclic Compounds (1 paper). The work is most often cited by research in Molecular Biology (730 citations), Biotechnology (76 citations), Endocrinology, Diabetes and Metabolism (111 citations), Organic Chemistry (155 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Peter G. Ng has collaborated with scholars based in France and United States. Frequent co-authors include Brian C. Froehler, James A. Wells, Mark D. Matteucci, Parkash Jhurani, Brian C. Cunningham, Mark Matteucci, John P. Burnier, Thomas P. Graycar, David A. Estell and David B. Powers. Their work appears in journals such as Nucleic Acids Research, Science and Nucleosides and Nucleotides.
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.