Daniela Schmid
Impact in
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- Clostridium difficile and Clostridium perfringens research
- SARS-CoV-2 detection and testing
- Antimicrobial Resistance in Staphylococcus
- Biotechnology top 2%
- Listeria monocytogenes in Food Safety
Papers in
-
- Viral gastroenteritis research and epidemiology 10
- Clostridium difficile and Clostridium perfringens research 7
- Antimicrobial Resistance in Staphylococcus 5
- Food Science 13
- Salmonella and Campylobacter epidemiology 13
- Co-authors
- Franz J. Allerberger (61 shared papers)I Lederer (12 shared papers)Steliana Huhulescu (9 shared papers)Werner Ruppitsch (12 shared papers)Hung-Wei Kuo (10 shared papers)Ariane Tatjana Pietzka (4 shared papers)R. Fretz (7 shared papers)Günther Wewalka (7 shared papers)
In The Last Decade
Daniela Schmid
73 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Infectious Diseases 722
- Biotechnology 203
- Modeling and Simulation 65
- Food Science 192
- Health 81
Countries citing papers authored by Daniela Schmid
This map shows the geographic impact of Daniela Schmid'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 Daniela Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Schmid more than expected).
Fields of papers citing papers by Daniela Schmid
This network shows the impact of papers produced by Daniela Schmid. 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 Daniela Schmid. The network helps show where Daniela Schmid may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Schmid, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 144 | |
| 2 | 2014 | 96 | |
| 3 | 2019 | 94 | |
| 4 | 2008 | 83 | |
| 5 | 2009 | 75 | |
| 6 | 2007 | 69 | |
| 7 | 2004 | 51 | |
| 8 | 2019 | 50 | |
| 9 | 2008 | 48 | |
| 10 | 2008 | 47 | |
| 11 | 2019 | 47 | |
| 12 | 2011 | 46 | |
| 13 | 2020 | 46 | |
| 14 | 2009 | 43 | |
| 15 | 2006 | 38 | |
| 16 | 2008 | 38 | |
| 17 | 2012 | 37 | |
| 18 | 2005 | 33 | |
| 19 | 2018 | 33 | |
| 20 | 2019 | 33 |
About Daniela Schmid
Daniela Schmid is a scholar working on Infectious Diseases, Food Science, Epidemiology, Endocrinology and Molecular Medicine, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (13 papers), Viral gastroenteritis research and epidemiology (10 papers), Virology and Viral Diseases (10 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Legionella and Acanthamoeba research (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Listeria monocytogenes in Food Safety (3 papers). The work is most often cited by research in Infectious Diseases (722 citations), Biotechnology (203 citations), Modeling and Simulation (65 citations), Food Science (192 citations) and Health (81 citations). Daniela Schmid has collaborated with scholars based in Austria, Sweden and Germany. Frequent co-authors include Franz J. Allerberger, I Lederer, Steliana Huhulescu, Werner Ruppitsch, Hung-Wei Kuo, Ariane Tatjana Pietzka, R. Fretz, Günther Wewalka, Lukas Richter and Markus Hell. Their work appears in journals such as Eurosurveillance, International Journal of Infectious Diseases, Clinical Microbiology and Infection, Journal of Hospital Infection and Infection.
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.