Barbara Willi
Impact in
- Parasitology top 0.2%
- Vector-borne infectious diseases
- Microbiology top 0.5%
- Microbial infections and disease research
Papers in
- Parasitology 34
- Vector-borne infectious diseases 31
-
- Viral Infections and Vectors 19
- Co-authors
- Regina Hofmann‐Lehmann (60 shared papers)Marina L. Meli (44 shared papers)Hans Lutz (31 shared papers)Valentino Cattori (21 shared papers)Felicitas S. Boretti (21 shared papers)Claudia E Reusch (12 shared papers)Séverine Tasker (12 shared papers)Barbara Riond (23 shared papers)
- Journals
- Veterinary Microbiology (12 papers)Journal of Clinical Microbiology (8 papers)BMC Veterinary Research (6 papers)Veterinary Research (4 papers)Frontiers in Veterinary Science (3 papers)
- Partner nations
- SwitzerlandUnited KingdomGermany
In The Last Decade
Barbara Willi
86 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 87
- Parasitology 1.7k
- Microbiology 765
- Virology 486
- Infectious Diseases 1.3k
- Molecular Medicine 178
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-authors
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
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 180 | |
| 2 | 2005 | 154 | |
| 3 | 2004 | 128 | |
| 4 | 2009 | 117 | |
| 5 | 2007 | 99 | |
| 6 | 2007 | 89 | |
| 7 | 2006 | 88 | |
| 8 | 2009 | 87 | |
| 9 | 2009 | 86 | |
| 10 | 2009 | 84 | |
| 11 | 2007 | 80 | |
| 12 | 2009 | 79 | |
| 13 | 2007 | 77 | |
| 14 | 2006 | 75 | |
| 15 | 2007 | 72 | |
| 16 | 2009 | 70 | |
| 17 | 2005 | 64 | |
| 18 | 2010 | 62 | |
| 19 | 2015 | 62 | |
| 20 | 2019 | 60 |
About Barbara Willi
Barbara Willi is a scholar working on Parasitology, Infectious Diseases, Microbiology, Epidemiology and Virology, having authored 86 papers that have together received 3.1k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (31 papers), Microbial infections and disease research (23 papers), Viral Infections and Vectors (19 papers), Herpesvirus Infections and Treatments (12 papers), Vector-Borne Animal Diseases (11 papers), Antibiotic Resistance in Bacteria (11 papers), HIV Research and Treatment (7 papers) and Rabies epidemiology and control (6 papers). The work is most often cited by research in Parasitology (1.7k citations), Microbiology (765 citations), Virology (486 citations), Infectious Diseases (1.3k citations) and Molecular Medicine (178 citations). Barbara Willi has collaborated with scholars based in Switzerland, United Kingdom and Germany. 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 Frontiers in Veterinary Science.
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.