Andrew Wright
Impact in
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology
- Endocrinology top 1%
Papers in
- Co-authors
- Ann E. Reynolds (3 shared papers)Suckjoon Jun (2 shared papers)Orna Amster‐Choder (7 shared papers)Martín J. Siegert (11 shared papers)Robert E. Braun (3 shared papers)Gideon Scott Gordon (7 shared papers)Charles S. Hoffman (1 shared paper)François Taddéi (1 shared paper)
- Journals
- Journal of Bacteriology (13 papers)Proceedings of the National Academy of Sciences (9 papers)Virology (8 papers)Infection and Immunity (8 papers)Cell (7 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Andrew Wright
126 papers receiving 7.6k citations
Andrew Wright's Hit Papers
Peers
Comparison fields: 5 of 156
- Genetics 3.1k
- Endocrinology 536
- Molecular Medicine 373
- Ecology 1.8k
- Molecular Biology 4.3k
Countries citing papers authored by Andrew Wright
This map shows the geographic impact of Andrew Wright'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 Andrew Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Wright more than expected).
Fields of papers citing papers by Andrew Wright
This network shows the impact of papers produced by Andrew Wright. 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 Andrew Wright. The network helps show where Andrew Wright may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Wright, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust Growth of Escherichia coli Hit paper breakdown → | 2010 | 702 |
| 2 | Modern microprocessor built from complementary carbon nanotube transistors Hit paper breakdown → | 2019 | 567 |
| 3 | 1982 | 411 | |
| 4 | 1997 | 335 | |
| 5 | 1997 | 310 | |
| 6 | 1985 | 240 | |
| 7 | 1981 | 239 | |
| 8 | 1985 | 215 | |
| 9 | 1967 | 208 | |
| 10 | 2012 | 188 | |
| 11 | 2009 | 175 | |
| 12 | 2010 | 171 | |
| 13 | 2011 | 169 | |
| 14 | 1990 | 167 | |
| 15 | 1987 | 126 | |
| 16 | 1989 | 120 | |
| 17 | 2000 | 120 | |
| 18 | 1981 | 117 | |
| 19 | 2008 | 117 | |
| 20 | 2000 | 113 |
About Andrew Wright
Andrew Wright is a scholar working on Genetics, Ecology, Molecular Biology, Endocrinology and Microbiology, having authored 129 papers that have together received 8.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (35 papers), Bacteriophages and microbial interactions (28 papers), RNA and protein synthesis mechanisms (19 papers), DNA Repair Mechanisms (13 papers), Cryospheric studies and observations (12 papers), Bacterial Infections and Vaccines (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Escherichia coli research studies (6 papers). The work is most often cited by research in Genetics (3.1k citations), Endocrinology (536 citations), Molecular Medicine (373 citations), Ecology (1.8k citations) and Molecular Biology (4.3k citations). Andrew Wright has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Ann E. Reynolds, Suckjoon Jun, Orna Amster‐Choder, Martín J. Siegert, Robert E. Braun, Gideon Scott Gordon, Charles S. Hoffman, François Taddéi, Ping Wang and Lydia Robert. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, Virology, Infection and Immunity and Cell.
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.