Davina Campbell
- Molecular Medicine top 2%
- Food Science top 10%
- Infectious Diseases top 10%
- Endocrinology top 5%
- Molecular Biology
- Co-authors
- Jason P. FolsterAllison C. BrownAmelia BickneseJessica C. ChenCindy R. FriedmanAnna BowenJulian E. GrassJoseph D. Lutgring
- Topics
- Antibiotic Resistance in Bacteria (13 papers)Bacterial Identification and Susceptibility Testing (7 papers)Salmonella and Campylobacter epidemiology (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesJournal of Clinical Microbiology
- Partner nations
- United StatesAustraliaUganda
In The Last Decade
Davina Campbell
22 papers receiving 331 citations
Peers
Comparison fields: 5 of 52
- Molecular Medicine 183
- Food Science 137
- Infectious Diseases 128
- Endocrinology 115
- Molecular Biology 58
Countries citing papers authored by Davina Campbell
This map shows the geographic impact of Davina Campbell'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 Davina Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davina Campbell more than expected).
Fields of papers citing papers by Davina Campbell
This network shows the impact of papers produced by Davina Campbell. 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 Davina Campbell. The network helps show where Davina Campbell may publish in the future.
Co-authorship network of co-authors of Davina Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Davina Campbell. A scholar is included among the top collaborators of Davina Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Davina Campbell. Davina Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 30 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 24 | |
| 15 | 76 | |
| 16 | 12 | |
| 17 | 3 | |
| 18 | 48 | |
| 19 | Notes from the Field: Outbreaks of Shigella sonnei Infection with Decreased Susceptibility to Azithromycin Among Men Who Have Sex with Men - Chicago and Metropolitan Minneapolis-St. Paul, 2014. | 24 |
| 20 | 12 |
About Davina Campbell
Davina Campbell is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 23 papers that have together received 344 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Molecular Medicine (183 citations), Endocrinology (115 citations) and Food Science (137 citations). Davina Campbell has collaborated with scholars based in United States, Australia and Uganda. Frequent co-authors include Jason P. Folster, Allison C. Brown, Amelia Bicknese, Jessica C. Chen, Cindy R. Friedman, Anna Bowen, Julian E. Grass, Joseph D. Lutgring, Jacqueline Hurd and Robert D. Kirkcaldy. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Clinical 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.