D. Swinne
- Epidemiology top 2%
- Infectious Diseases top 2%
- Cell Biology top 5%
- Plant Science top 10%
- Molecular Biology
- Co-authors
- N. NolardTeun BoekhoutFerry HagenC De VroeyJacques F. MeisCorné H. W. KlaassenMassimo CogliatiMaría Francisca Colom
- Topics
- Fungal Infections and Studies (37 papers)Nail Diseases and Treatments (19 papers)Antifungal resistance and susceptibility (19 papers)
- Journals
- Journal of Clinical MicrobiologyAntimicrobial Agents and ChemotherapyEmerging infectious diseases
- Partner nations
- BelgiumNetherlandsSpain
In The Last Decade
D. Swinne
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Epidemiology 1.0k
- Infectious Diseases 823
- Cell Biology 344
- Plant Science 204
- Molecular Biology 144
Countries citing papers authored by D. Swinne
This map shows the geographic impact of D. Swinne'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 D. Swinne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Swinne more than expected).
Fields of papers citing papers by D. Swinne
This network shows the impact of papers produced by D. Swinne. 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 D. Swinne. The network helps show where D. Swinne may publish in the future.
Co-authorship network of co-authors of D. Swinne
This figure shows the co-authorship network connecting the top 25 collaborators of D. Swinne. A scholar is included among the top collaborators of D. Swinne 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 D. Swinne. D. Swinne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 120 | |
| 2 | 16 | |
| 3 | The occurrence of the primary pathogenic yeastCryptococcus gattii in Europe | 1 |
| 4 | 7 | |
| 5 | 20 | |
| 6 | 11 | |
| 7 | 34 | |
| 8 | 44 | |
| 9 | 9 | |
| 10 | 40 | |
| 11 | Comparison of the sensititre yeastone colorimetric method with the nccls broth microdilution modified reference method for amphotericin B, fluconazole, itraconazole and voriconazole susceptibility testing against candida non-albicans species | 0 |
| 12 | Nouveaux cas d'infections par Prototheca zopfii chez la vache laitière en Belgique | 2 |
| 13 | 57 | |
| 14 | 53 | |
| 15 | 16 | |
| 16 | 23 | |
| 17 | 83 | |
| 18 | [Ecology of Cryptococcus neoformans in central Africa]. | 12 |
| 19 | 17 | |
| 20 | 37 |
About D. Swinne
D. Swinne is a scholar working on Epidemiology, Infectious Diseases and Cell Biology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fungal Infections and Studies (37 papers), Nail Diseases and Treatments (19 papers) and Antifungal resistance and susceptibility (19 papers). The work is most often cited by research in Infectious Diseases (823 citations), Epidemiology (1.0k citations) and Cell Biology (344 citations). D. Swinne has collaborated with scholars based in Belgium, Netherlands and Spain. Frequent co-authors include N. Nolard, Teun Boekhout, Ferry Hagen, C De Vroey, Jacques F. Meis, Corné H. W. Klaassen, Massimo Cogliati, María Francisca Colom, Aristea Velegraki and Kathrin Tintelnot. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Emerging 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.