Davina Campbell

40 total papers · 661 total citations
23 papers, 342 citations indexed

About

Davina Campbell is a scholar working on Molecular Medicine, Infectious Diseases and Clinical Biochemistry. According to data from OpenAlex, Davina Campbell has authored 23 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Medicine, 9 papers in Infectious Diseases and 7 papers in Clinical Biochemistry. Recurrent topics in Davina Campbell's work include Antibiotic Resistance in Bacteria (13 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Davina Campbell is often cited by papers focused on Antibiotic Resistance in Bacteria (13 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). Davina Campbell collaborates with scholars based in United States, Uganda and Australia. Davina Campbell's co-authors include Jason P. Folster, Allison C. Brown, Amelia Bicknese, Cindy R. Friedman, Jessica C. Chen, Anna Bowen, Julian E. Grass, Jacqueline Hurd, Joseph D. Lutgring and Louise Francois Watkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Davina Campbell

22 papers receiving 329 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Davina Campbell	183	135	126	115	58	23	342
Marina Morach	131 0.7×	151 1.1×	117 0.9×	140 1.2×	59 1.0×	16	379
Yousef M. Abouzeed	133 0.7×	182 1.3×	93 0.7×	91 0.8×	97 1.7×	19	385
Su-Ran Kim	240 1.3×	133 1.0×	113 0.9×	120 1.0×	52 0.9×	14	392
Cornelis Poppe	178 1.0×	169 1.3×	120 1.0×	96 0.8×	74 1.3×	16	396
Jae-Young Oh	177 1.0×	165 1.2×	77 0.6×	144 1.3×	48 0.8×	25	393
Troels Ronco	114 0.6×	159 1.2×	147 1.2×	135 1.2×	78 1.3×	18	372
Clarissa A. Borges	133 0.7×	123 0.9×	71 0.6×	164 1.4×	80 1.4×	25	362
Shizhen Ma	160 0.9×	58 0.4×	124 1.0×	55 0.5×	87 1.5×	20	388
You-Wun Wang	166 0.9×	230 1.7×	66 0.5×	198 1.7×	59 1.0×	26	378
Fernanda Fernandes Santos	140 0.8×	92 0.7×	128 1.0×	235 2.0×	82 1.4×	35	390

Countries citing papers authored by Davina Campbell

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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