Cameron Flegg
Impact in
- Microbiology top 5%
- Reproductive tract infections research
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- Cellular transport and secretion
- Microtubule and mitosis dynamics
Papers in
-
- Burkholderia infections and melioidosis 4
- Autophagy in Disease and Therapy 1
-
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Wnt/β-catenin signaling in development and cancer 1
- Co-authors
- Ifor R. Beacham (4 shared papers)Justin A. Boddey (3 shared papers)Sarah Mathews (3 shared papers)Peter Timms (3 shared papers)Ian R. Peak (3 shared papers)Christopher J. Day (2 shared papers)Deborah Stenzel (2 shared papers)Mariana Brocardo (2 shared papers)
- Journals
- Infection and Immunity (2 papers)Journal of Biological Chemistry (2 papers)Microbial Pathogenesis (1 paper)Traffic (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Cameron Flegg
12 papers receiving 370 citations
Peers
Comparison fields: 5 of 64
- Microbiology 100
- Cell Biology 84
- Epidemiology 169
- Endocrinology 14
- Molecular Biology 160
Countries citing papers authored by Cameron Flegg
This map shows the geographic impact of Cameron Flegg'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 Cameron Flegg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron Flegg more than expected).
Fields of papers citing papers by Cameron Flegg
This network shows the impact of papers produced by Cameron Flegg. 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 Cameron Flegg. The network helps show where Cameron Flegg may publish in the future.
Co-authors
The 25 scholars most cited alongside Cameron Flegg, 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 | 2005 | 71 | |
| 2 | 2001 | 54 | |
| 3 | 2001 | 47 | |
| 4 | 2006 | 39 | |
| 5 | 2006 | 33 | |
| 6 | 2006 | 32 | |
| 7 | 2002 | 29 | |
| 8 | 2010 | 24 | |
| 9 | 2013 | 18 | |
| 10 | 2013 | 16 | |
| 11 | 2006 | 15 | |
| 12 | 2001 | 2 |
About Cameron Flegg
Cameron Flegg is a scholar working on Epidemiology, Molecular Biology, Microbiology, Infectious Diseases and Cell Biology, having authored 12 papers that have together received 380 indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (4 papers), Reproductive tract infections research (3 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Autophagy in Disease and Therapy (1 paper), Machine Learning in Bioinformatics (1 paper), Genetic factors in colorectal cancer (1 paper), RNA and protein synthesis mechanisms (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Microbiology (100 citations), Cell Biology (84 citations), Epidemiology (169 citations), Endocrinology (14 citations) and Molecular Biology (160 citations). Cameron Flegg has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Ifor R. Beacham, Justin A. Boddey, Sarah Mathews, Peter Timms, Ian R. Peak, Christopher J. Day, Deborah Stenzel, Mariana Brocardo, Rohan D. Teasdale and Beric R. Henderson. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, Microbial Pathogenesis, Traffic and BMC Bioinformatics.
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.