E. Weigl
Impact in
- Parasitology top 10%
- Vector-borne infectious diseases
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
Papers in
-
- Viral Infections and Vectors 6
- Antifungal resistance and susceptibility 3
-
- Heat shock proteins research 5
- Yeasts and Rust Fungi Studies 3
- Co-authors
- Milan Raška (18 shared papers)Michal Křupka (10 shared papers)Martin Petřek (3 shared papers)Jir̆ı́ Drábek (2 shared papers)Roland du Bois (1 shared paper)Vı́tězslav Kolek (1 shared paper)M. Bunce (1 shared paper)Kenneth I. Welsh (1 shared paper)
- Journals
- Mycoses (5 papers)Archivum Immunologiae et Therapiae Experimentalis (2 papers)Mycopathologia (2 papers)Immunology Letters (1 paper)Medical Mycology (1 paper)
- Partner nations
- CzechiaUnited KingdomUnited States
In The Last Decade
E. Weigl
31 papers receiving 502 citations
Peers
Comparison fields: 5 of 71
- Parasitology 47
- Infectious Diseases 115
- Virology 26
- Immunology 107
- Microbiology 29
Countries citing papers authored by E. Weigl
This map shows the geographic impact of E. Weigl'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 E. Weigl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Weigl more than expected).
Fields of papers citing papers by E. Weigl
This network shows the impact of papers produced by E. Weigl. 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 E. Weigl. The network helps show where E. Weigl may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Weigl, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 95 | |
| 2 | 1997 | 58 | |
| 3 | 2007 | 47 | |
| 4 | 2005 | 42 | |
| 5 | 2005 | 33 | |
| 6 | 2008 | 32 | |
| 7 | 2015 | 26 | |
| 8 | 2007 | 26 | |
| 9 | 2001 | 26 | |
| 10 | 1999 | 21 | |
| 11 | 2004 | 19 | |
| 12 | 1996 | 19 | |
| 13 | 2007 | 15 | |
| 14 | 2011 | 13 | |
| 15 | 2010 | 12 | |
| 16 | 2004 | 12 | |
| 17 | 2002 | 9 | |
| 18 | 1998 | 6 | |
| 19 | 2005 | 6 | |
| 20 | 1999 | 4 |
About E. Weigl
E. Weigl is a scholar working on Infectious Diseases, Molecular Biology, Cell Biology, Immunology and Parasitology, having authored 32 papers that have together received 545 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (7 papers), Plant Pathogens and Fungal Diseases (7 papers), Viral Infections and Vectors (6 papers), Heat shock proteins research (5 papers), Nail Diseases and Treatments (5 papers), Antifungal resistance and susceptibility (3 papers), Yeasts and Rust Fungi Studies (3 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Parasitology (47 citations), Infectious Diseases (115 citations), Virology (26 citations), Immunology (107 citations) and Microbiology (29 citations). E. Weigl has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Milan Raška, Michal Křupka, Martin Petřek, Jir̆ı́ Drábek, Roland du Bois, Vı́tězslav Kolek, M. Bunce, Kenneth I. Welsh, Kateřina Zachová and Peter Safranek. Their work appears in journals such as Mycoses, Archivum Immunologiae et Therapiae Experimentalis, Mycopathologia, Immunology Letters and Medical Mycology.
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.