Matthias Filter

1.4k citations
54 papers · 1.0k · h-index 17

Impact in

    • Microbial infections and disease research
  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology

Papers in

Matthias Filter

50 papers receiving 953 citations

Peers

Matthias Filter
Comparison fields: 5 of 95
  • Microbiology 206
  • Hepatology 169
  • Endocrinology 107
  • Small Animals 123
  • Food Science 290
Replace Madalena Vieira‐Pinto with:
Madalena Vieira‐Pinto Portugal
Samuel Paulo Cibulski Brazil
Alina Wieliczko Poland
Shahida Baqar United States
Diana Meemken Germany
Angela Berndt Germany
Anne Liljander Kenya
Sandra M. Kelly United States
David W. Dreesen United States
Kenji Sadamasu Japan
Matthias Filter relative to Madalena Vieira‐Pinto Portugal Madalena Vieira‐Pinto's profile →
Citations per field
00.5×3.5×
Madalena Vieira‐Pinto · 1×
Citations per year

Countries citing papers authored by Matthias Filter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Matthias Filter Line = papers co-authored together Matthias Filter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006192
2 201697
3 201179
4 200755
5 200848
6 200843
7 201042
8 202137
9 201630
10 200526
11 201525
12 200823
13 201822
14 201722
15 201918
16 201817
17 201817
18 201415
19 201114
20 200913

About Matthias Filter

Matthias Filter is a scholar working on Food Science, Molecular Biology, Infectious Diseases, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Food Safety and Hygiene (10 papers), Salmonella and Campylobacter epidemiology (9 papers), Zoonotic diseases and public health (8 papers), Animal Disease Management and Epidemiology (8 papers), Food Supply Chain Traceability (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Listeria monocytogenes in Food Safety (5 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Microbiology (206 citations), Hepatology (169 citations), Endocrinology (107 citations), Small Animals (123 citations) and Food Science (290 citations). Matthias Filter has collaborated with scholars based in Germany, Denmark and France. Frequent co-authors include Lothar H. Wieler, Reimar Johne, Christa Ewers, Antina Lübke‐Becker, Astrid Bethe, E. Trojnar, Jörg Hofmann, Anika Schielke, Michael F.G. Schmidt and Peter Schierack. Their work appears in journals such as Archives of Animal Nutrition, International Journal of Food Microbiology, Current Opinion in Food Science, EFSA Journal and One Health.

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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