Matthias Filter
- Microbiology top 2%
- Endocrinology top 5%
- Hepatology top 5%
- Small Animals top 5%
- Food Science top 5%
- Food Safety and Hygiene 10
- Salmonella and Campylobacter epidemiology 9
- Food Supply Chain Traceability 6
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- Animal Disease Management and Epidemiology 8
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- Zoonotic diseases and public health 8
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- Viral gastroenteritis research and epidemiology 7
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- Listeria monocytogenes in Food Safety 5
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- Bacillus and Francisella bacterial research 5
- Co-authors
- Lothar H. WielerReimar JohneBernd AppelChrista EwersAntina Lübke‐BeckerAstrid BetheE. TrojnarJörg Hofmann
- Cited by
- MicrobiologyEndocrinologyHepatology
In The Last Decade
Matthias Filter
50 papers receiving 936 citations
Peers
Comparison fields: 5 of 96
- Microbiology 207
- Endocrinology 112
- Hepatology 166
- Small Animals 123
- Food Science 300
Countries citing papers authored by Matthias Filter
This map shows the geographic impact of Matthias Filter'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 Matthias Filter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Filter more than expected).
Fields of papers citing papers by Matthias Filter
This network shows the impact of papers produced by Matthias Filter. 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 Matthias Filter. The network helps show where Matthias Filter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthias Filter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 2 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 7 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 4 | |
| 11 | 2018 | 22 | |
| 12 | 2014 | 15 | |
| 13 | 2013 | 4 | |
| 14 | 2013 | 6 | |
| 15 | 2011 | 77 | |
| 16 | 2011 | 1 | |
| 17 | 2010 | 41 | |
| 18 | 2009 | 13 | |
| 19 | 2008 | 23 | |
| 20 | 2006 | 189 |
About Matthias Filter
Matthias Filter is a scholar working on Food Science, Infectious Diseases, Agronomy and Crop Science, Endocrinology and Molecular Medicine, having authored 54 papers that have together received 986 indexed citations. Recurring topics across this work include Food Safety and Hygiene (10 papers), Salmonella and Campylobacter epidemiology (9 papers), Animal Disease Management and Epidemiology (8 papers), Zoonotic diseases and public health (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Food Supply Chain Traceability (6 papers), Listeria monocytogenes in Food Safety (5 papers) and Bacillus and Francisella bacterial research (5 papers). The work is most often cited by research in Microbiology (207 citations), Endocrinology (112 citations), Hepatology (166 citations), Small Animals (123 citations) and Food Science (300 citations). Matthias Filter has collaborated with scholars based in Germany, Denmark and France. Frequent co-authors include Lothar H. Wieler, Reimar Johne, Bernd Appel, Christa Ewers, Antina Lübke‐Becker, Astrid Bethe, E. Trojnar, Jörg Hofmann, Anika Schielke and Peter Schierack. Their work appears in journals such as International Journal of Food Microbiology, Archives of Animal Nutrition, Current Opinion in Food Science, Applied and Environmental Microbiology and Veterinary 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.