Daniela Schmid

2.4k total citations
67 papers, 1.4k citations indexed

About

Daniela Schmid is a scholar working on Infectious Diseases, Epidemiology and Food Science. According to data from OpenAlex, Daniela Schmid has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Infectious Diseases, 24 papers in Epidemiology and 14 papers in Food Science. Recurrent topics in Daniela Schmid's work include Viral gastroenteritis research and epidemiology (23 papers), Salmonella and Campylobacter epidemiology (12 papers) and Virology and Viral Diseases (11 papers). Daniela Schmid is often cited by papers focused on Viral gastroenteritis research and epidemiology (23 papers), Salmonella and Campylobacter epidemiology (12 papers) and Virology and Viral Diseases (11 papers). Daniela Schmid collaborates with scholars based in Austria, Sweden and Germany. Daniela Schmid's co-authors include Franz Allerberger, I Lederer, Steliana Huhulescu, Werner Ruppitsch, Hung-Wei Kuo, Ariane Pietzka, Erica Simons, G. Wewalka, R. Fretz and Christoph Wenisch and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Daniela Schmid

67 papers receiving 1.3k citations

Peers

Daniela Schmid
Comparison fields: 5 of 110
  • Infectious Diseases 736
  • Epidemiology 463
  • Food Science 303
  • Biotechnology 226
  • Molecular Biology 156
Replace Gerhard Falkenhorst with:
Gerhard Falkenhorst Germany
Stefan Brockmann Germany
Robert E. Fontaine United States
Shua J. Chai United States
Bradford A. Kay United States
M. T. Osterholm United States
Doris Altmann Germany
Ramesh Kumar India
Roger A. Feldman United States
Chad K. Porter United States
Gerhard Falkenhorst Germany View profile →
Citations per field, relative to Daniela Schmid
Daniela Schmid · 1×
Citations per year, relative to Daniela Schmid
Daniela Schmid · 1×

Countries citing papers authored by Daniela Schmid

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniela Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Schmid. A scholar is included among the top collaborators of Daniela Schmid based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Schmid. Daniela Schmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 5
3 33
4 14
5 6
6 4
7 31
8 11
9 84
10 13
11
A foodborne outbreak due to Salmonella Typhimurium DT3 seemingly linked to more than one reservoir, Austria July 2011.
1
12 7
13 34
14 13
15 3
16 64
17 39
18 16
19 21
20 8

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.

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