Patrick Fach

8.5k citations
161 papers · 6.7k indexed · 1 hit paper · h-index 42

Patrick Fach

158 papers receiving 6.5k citations

Hit Papers

Revisiting the STEC Testing Approach: Using espK and espV...1.0k20162026201920222505007501000

Peers

Patrick Fach
Comparison fields: 5 of 146
  • Endocrinology 2.6k
  • Infectious Diseases 2.7k
  • Food Science 2.2k
  • Biotechnology 933
  • Molecular Medicine 363
Replace Peter Rådström with:
Peter Rådström Sweden
Paul A. Blake United States
Tetsuya Hayashi Japan
T. G. Nagaraja United States
Eric W. Brown United States
Hannu Korkeala Finland
Sou‐ichi Makino Japan
William G. Miller United States
Julian I. Rood Australia
Craig T. Parker United States
Patrick Fach relative to Peter Rådström Sweden Peter Rådström's profile →
Citations per field
00.5×2.9×
Peter Rådström · 1×
Citations per year

Countries citing papers authored by Patrick Fach

Since Specialization
Citations

This map shows the geographic impact of Patrick Fach'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 Patrick Fach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Fach more than expected).

Fields of papers citing papers by Patrick Fach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Fach. 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 Patrick Fach. The network helps show where Patrick Fach may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Patrick Fach, 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 Patrick Fach Line = papers co-authored together Patrick Fach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20233
4 20236
5
qPCR method for identifying highly pathogenic Salmonella serotypes
20220
6 20226
7 20217
8 20176
9 201714
10 201722
11 201714
12 201716
13 201616
14 201314
15 20133
16 201340
17 20114
18
Detection by PCR-enzyme-linked immunosorbent assay of Clostridium botulinum in fish and environmental samples from a coastal area in northern France
20024
19 20028
20 199341

About Patrick Fach

Patrick Fach is a scholar working on Endocrinology, Infectious Diseases and Food Science, having authored 161 papers that have together received 6.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (80 papers), Viral gastroenteritis research and epidemiology (74 papers), Salmonella and Campylobacter epidemiology (49 papers), Botulinum Toxin and Related Neurological Disorders (29 papers), Bacteriophages and microbial interactions (27 papers), Diphtheria, Corynebacterium, and Tetanus (19 papers), Streptococcal Infections and Treatments (16 papers) and Listeria monocytogenes in Food Safety (15 papers). The work is most often cited by research in Endocrinology (2.6k citations), Infectious Diseases (2.7k citations) and Food Science (2.2k citations). Patrick Fach has collaborated with scholars based in France, Germany and Italy. Frequent co-authors include Sabine Delannoy, Lothar Beutin, Sylvie Pérelle, F. Dilasser, Burkhard Malorny, Joël Grout, Jeffrey Hoorfar, Hattie E. Webb, Sarah A. Ison and Byron D. Chaves. Their work appears in journals such as Applied and Environmental Microbiology, International Journal of Food Microbiology, Frontiers in Microbiology, Journal of Applied Microbiology and Journal of Clinical 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.

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