Carey Lambert
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 17
- Genomics and Phylogenetic Studies 10
- Genetics 21
- Bacterial Genetics and Biotechnology 21
- Co-authors
- R. Elizabeth Sockett (36 shared papers)Michael J. Capeness (8 shared papers)Laura Hobley (11 shared papers)Andrew K. Fenton (7 shared papers)Rob Till (14 shared papers)Chien‐Yi Chang (3 shared papers)Stephan C. Schuster (2 shared papers)Snjezana Rendulic (2 shared papers)
- Journals
- Journal of Bacteriology (5 papers)Nature Communications (4 papers)Nature Microbiology (3 papers)Scientific Reports (3 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Carey Lambert
38 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Endocrinology 780
- Molecular Medicine 314
- Ecology 706
- Genetics 661
- Molecular Biology 1.2k
Countries citing papers authored by Carey Lambert
This map shows the geographic impact of Carey Lambert'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 Carey Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carey Lambert more than expected).
Fields of papers citing papers by Carey Lambert
This network shows the impact of papers produced by Carey Lambert. 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 Carey Lambert. The network helps show where Carey Lambert may publish in the future.
Co-authors
The 25 scholars most cited alongside Carey Lambert, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 294 | |
| 2 | 2004 | 146 | |
| 3 | 2011 | 133 | |
| 4 | 2016 | 123 | |
| 5 | 2006 | 120 | |
| 6 | 2007 | 103 | |
| 7 | 2017 | 93 | |
| 8 | 2003 | 83 | |
| 9 | 2010 | 80 | |
| 10 | 2012 | 76 | |
| 11 | 2011 | 54 | |
| 12 | 2008 | 48 | |
| 13 | 2006 | 48 | |
| 14 | 2012 | 44 | |
| 15 | 2011 | 41 | |
| 16 | 2013 | 41 | |
| 17 | 2015 | 40 | |
| 18 | 2009 | 39 | |
| 19 | 2015 | 37 | |
| 20 | 2016 | 37 |
About Carey Lambert
Carey Lambert is a scholar working on Molecular Biology, Genetics, Endocrinology, Ecology and Molecular Medicine, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Vibrio bacteria research studies (18 papers), Bacterial biofilms and quorum sensing (17 papers), Bacteriophages and microbial interactions (11 papers), Genomics and Phylogenetic Studies (10 papers), Antibiotic Resistance in Bacteria (8 papers), Microbial Community Ecology and Physiology (4 papers) and Micro and Nano Robotics (2 papers). The work is most often cited by research in Endocrinology (780 citations), Molecular Medicine (314 citations), Ecology (706 citations), Genetics (661 citations) and Molecular Biology (1.2k citations). Carey Lambert has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include R. Elizabeth Sockett, Michael J. Capeness, Laura Hobley, Andrew K. Fenton, Rob Till, Chien‐Yi Chang, Stephan C. Schuster, Snjezana Rendulic, Shin‐Ichi Aizawa and Andrew L. Lovering. Their work appears in journals such as Journal of Bacteriology, Nature Communications, Nature Microbiology, Scientific Reports and PLoS ONE.
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.