Tanis C. Dingle
- Infectious Diseases top 2%
- Molecular Biology
- Epidemiology top 10%
- Molecular Medicine top 1%
- Clinical Biochemistry top 1%
- Co-authors
- Susan M. Butler‐WuKeith R. JeromeRuth Hall SedlakLinda CookGlen D. ArmstrongGeorge L. MulveyRomney M. HumphriesJennifer Dien Bard
- Topics
- Antibiotic Resistance in Bacteria (14 papers)Antifungal resistance and susceptibility (10 papers)Bacterial Identification and Susceptibility Testing (10 papers)
- Partner nations
- CanadaUnited StatesSouth Africa
In The Last Decade
Tanis C. Dingle
46 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Infectious Diseases 731
- Molecular Biology 454
- Epidemiology 449
- Molecular Medicine 346
- Clinical Biochemistry 276
Countries citing papers authored by Tanis C. Dingle
This map shows the geographic impact of Tanis C. Dingle'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 Tanis C. Dingle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanis C. Dingle more than expected).
Fields of papers citing papers by Tanis C. Dingle
This network shows the impact of papers produced by Tanis C. Dingle. 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 Tanis C. Dingle. The network helps show where Tanis C. Dingle may publish in the future.
Co-authorship network of co-authors of Tanis C. Dingle
This figure shows the co-authorship network connecting the top 25 collaborators of Tanis C. Dingle. A scholar is included among the top collaborators of Tanis C. Dingle 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 Tanis C. Dingle. Tanis C. Dingle 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 | 0 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | Antimicrobial resistance (AMR) in COVID-19 patients: a systematic review and meta-analysis (November 2019–June 2021)breakdown → | 126 |
| 12 | 61 | |
| 13 | 13 | |
| 14 | 15 | |
| 15 | 41 | |
| 16 | CLSI Methods Development and Standardization Working Group Best Practices for Evaluation of Antimicrobial Susceptibility Testsbreakdown → | 519 |
| 17 | 14 | |
| 18 | 23 | |
| 19 | 168 | |
| 20 | 40 |
About Tanis C. Dingle
Tanis C. Dingle is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antifungal resistance and susceptibility (10 papers) and Bacterial Identification and Susceptibility Testing (10 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (189 citations), Molecular Medicine (346 citations) and Clinical Biochemistry (276 citations). Tanis C. Dingle has collaborated with scholars based in Canada, United States and South Africa. Frequent co-authors include Susan M. Butler‐Wu, Keith R. Jerome, Ruth Hall Sedlak, Linda Cook, Glen D. Armstrong, George L. Mulvey, Romney M. Humphries, Jennifer Dien Bard, Barbara Zimmer and Laura Koeth. Their work appears in journals such as Biochemistry, Clinical Microbiology Reviews and Clinical Infectious Diseases.
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.