G. Shaw
Impact in
- Inorganic Chemistry top 10%
- Asymmetric Hydrogenation and Catalysis
- Organic Chemistry top 10%
- Organometallic Complex Synthesis and Catalysis
Papers in
-
- Organometallic Complex Synthesis and Catalysis 5
-
- RNA and protein synthesis mechanisms 5
- Biochemical and Molecular Research 4
- RNA modifications and cancer 4
- Co-authors
- Xinhua Ji (14 shared papers)Michael I. Bruce (5 shared papers)Joseph E. Tropea (5 shared papers)Jianhua Gan (3 shared papers)F. G. A. Stone (4 shared papers)David S. Waugh (4 shared papers)Donald L. Court (2 shared papers)Nina Costantino (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry (3 papers)FEBS Journal (2 papers)Journal of Organometallic Chemistry (2 papers)Structure (2 papers)Molecular Microbiology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
G. Shaw
27 papers receiving 543 citations
Peers
Comparison fields: 5 of 66
- Inorganic Chemistry 87
- Organic Chemistry 167
- Molecular Biology 346
- Genetics 87
- Endocrinology 15
Countries citing papers authored by G. Shaw
This map shows the geographic impact of G. Shaw'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 G. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Shaw more than expected).
Fields of papers citing papers by G. Shaw
This network shows the impact of papers produced by G. Shaw. 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 G. Shaw. The network helps show where G. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Shaw, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 129 | |
| 2 | 2007 | 100 | |
| 3 | 1972 | 68 | |
| 4 | 2008 | 39 | |
| 5 | 1954 | 23 | |
| 6 | 2011 | 20 | |
| 7 | 2019 | 20 | |
| 8 | 1972 | 18 | |
| 9 | 2012 | 16 | |
| 10 | 1972 | 15 | |
| 11 | 1971 | 14 | |
| 12 | 2017 | 13 | |
| 13 | 2011 | 13 | |
| 14 | 2007 | 13 | |
| 15 | 1972 | 11 | |
| 16 | 2014 | 10 | |
| 17 | 2008 | 8 | |
| 18 | 1973 | 8 | |
| 19 | 2020 | 5 | |
| 20 | 2015 | 5 |
About G. Shaw
G. Shaw is a scholar working on Organic Chemistry, Molecular Biology, Genetics, Inorganic Chemistry and Pharmaceutical Science, having authored 27 papers that have together received 565 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (5 papers), Organometallic Complex Synthesis and Catalysis (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Bacteriophages and microbial interactions (4 papers), Biochemical and Molecular Research (4 papers), RNA modifications and cancer (4 papers) and Fluorine in Organic Chemistry (4 papers). The work is most often cited by research in Inorganic Chemistry (87 citations), Organic Chemistry (167 citations), Molecular Biology (346 citations), Genetics (87 citations) and Endocrinology (15 citations). G. Shaw has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Xinhua Ji, Michael I. Bruce, Joseph E. Tropea, Jianhua Gan, F. G. A. Stone, David S. Waugh, Donald L. Court, Nina Costantino, Yu‐He Liang and Ding Jun Jin. Their work appears in journals such as Bioorganic & Medicinal Chemistry, FEBS Journal, Journal of Organometallic Chemistry, Structure and Molecular Microbiology.
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.