Nadia Schürch
Impact in
- Endocrinology top 2%
- Legionella and Acanthamoeba research
- Vibrio bacteria research studies
- Parasitology top 5%
- Parasitic Infections and Diagnostics
Papers in
-
- Biochemical and Molecular Research 4
- Bacillus and Francisella bacterial research 4
-
- Legionella and Acanthamoeba research 7
- Vibrio bacteria research studies 2
- Co-authors
- Isabel Roditi (3 shared papers)André Furger (2 shared papers)Ursula Kurath (2 shared papers)Matthias Wittwer (10 shared papers)Bruno Gottstein (5 shared papers)Norbert Müller (5 shared papers)Adrian B. Hehl (2 shared papers)Erik Vassella (2 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)Experimental Parasitology (2 papers)PLoS neglected tropical diseases (2 papers)BMC Genomics (2 papers)Microbiology (1 paper)
- Partner nations
- SwitzerlandGermanyVietnam
In The Last Decade
Nadia Schürch
21 papers receiving 769 citations
Peers
Comparison fields: 5 of 62
- Endocrinology 230
- Parasitology 74
- Epidemiology 329
- Small Animals 52
- Molecular Biology 435
Countries citing papers authored by Nadia Schürch
This map shows the geographic impact of Nadia Schürch'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 Nadia Schürch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Schürch more than expected).
Fields of papers citing papers by Nadia Schürch
This network shows the impact of papers produced by Nadia Schürch. 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 Nadia Schürch. The network helps show where Nadia Schürch may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Schürch, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 135 | |
| 2 | 1994 | 86 | |
| 3 | 2014 | 67 | |
| 4 | 1997 | 64 | |
| 5 | 2009 | 51 | |
| 6 | 2014 | 43 | |
| 7 | 2010 | 43 | |
| 8 | 2008 | 35 | |
| 9 | 2019 | 29 | |
| 10 | 2009 | 27 | |
| 11 | 2012 | 27 | |
| 12 | 1994 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2013 | 24 | |
| 16 | 2009 | 22 | |
| 17 | 2011 | 18 | |
| 18 | 2015 | 16 | |
| 19 | 2012 | 10 | |
| 20 | 2019 | 9 |
About Nadia Schürch
Nadia Schürch is a scholar working on Molecular Biology, Endocrinology, Epidemiology, Genetics and Infectious Diseases, having authored 21 papers that have together received 789 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (7 papers), Trypanosoma species research and implications (4 papers), Biochemical and Molecular Research (4 papers), Bacillus and Francisella bacterial research (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Amoebic Infections and Treatments (3 papers), Vibrio bacteria research studies (2 papers) and Parasitic Infections and Diagnostics (2 papers). The work is most often cited by research in Endocrinology (230 citations), Parasitology (74 citations), Epidemiology (329 citations), Small Animals (52 citations) and Molecular Biology (435 citations). Nadia Schürch has collaborated with scholars based in Switzerland, Germany and Vietnam. Frequent co-authors include Isabel Roditi, André Furger, Ursula Kurath, Matthias Wittwer, Bruno Gottstein, Norbert Müller, Adrian B. Hehl, Erik Vassella, Gerd Pluschke and R. Braun. Their work appears in journals such as Molecular and Cellular Biology, Experimental Parasitology, PLoS neglected tropical diseases, BMC Genomics and Microbiology.
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.