Barbara Willi
- Parasitology top 0.2%
- Vector-borne infectious diseases 32
- Microbiology top 0.2%
- Microbial infections and disease research 25
- Virology top 1%
- Infectious Diseases top 1%
- Viral Infections and Vectors 20
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- Herpesvirus Infections and Treatments 17
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- Bacterial Identification and Susceptibility Testing 13
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- Vector-Borne Animal Diseases 13
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- Antibiotic Resistance in Bacteria 11
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- Virus-based gene therapy research 9
- Co-authors
- Regina Hofmann‐LehmannMarina L. MeliHans LutzValentino CattoriFelicitas S. BorettiClaudia E ReuschSéverine TaskerBarbara Riond
- Cited by
- ParasitologyMicrobiologyVirology
- Journals
- Veterinary Microbiology (12 papers)Journal of Clinical Microbiology (8 papers)BMC Veterinary Research (6 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Barbara Willi
85 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 93
- Parasitology 1.7k
- Microbiology 893
- Virology 581
- Infectious Diseases 1.5k
- Applied Microbiology and Biotechnology 84
Countries citing papers authored by Barbara Willi
This map shows the geographic impact of Barbara Willi'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 Barbara Willi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Willi more than expected).
Fields of papers citing papers by Barbara Willi
This network shows the impact of papers produced by Barbara Willi. 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 Barbara Willi. The network helps show where Barbara Willi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Barbara Willi, 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 | 2023 | 2 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 6 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 16 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 13 | |
| 12 | 2017 | 20 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 32 | |
| 15 | 2010 | 56 | |
| 16 | 2009 | 59 | |
| 17 | 2008 | 21 | |
| 18 | 2007 | 75 | |
| 19 | 2007 | 20 | |
| 20 | 2007 | 24 |
About Barbara Willi
Barbara Willi is a scholar working on Parasitology, Applied Microbiology and Biotechnology, Microbiology, Virology and Molecular Medicine, having authored 86 papers that have together received 3.0k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (32 papers), Microbial infections and disease research (25 papers), Viral Infections and Vectors (20 papers), Herpesvirus Infections and Treatments (17 papers), Bacterial Identification and Susceptibility Testing (13 papers), Vector-Borne Animal Diseases (13 papers), Antibiotic Resistance in Bacteria (11 papers) and Virus-based gene therapy research (9 papers). The work is most often cited by research in Parasitology (1.7k citations), Microbiology (893 citations), Virology (581 citations), Infectious Diseases (1.5k citations) and Applied Microbiology and Biotechnology (84 citations). Barbara Willi has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Regina Hofmann‐Lehmann, Marina L. Meli, Hans Lutz, Valentino Cattori, Felicitas S. Boretti, Claudia E Reusch, Séverine Tasker, Barbara Riond, Nicole Wengi and Ravi Tandon. Their work appears in journals such as Veterinary Microbiology, Journal of Clinical Microbiology, BMC Veterinary Research, Veterinary Research and Viruses.
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.