A Ammon

86 papers receiving 2.8k citations

A Ammon's Hit Papers

Escherichia coliHarboring Shiga Toxin 2 Gene Variants: Frequency and Association with Clinical Symptoms 2002 · 638 citations
6380+8+16Years since publication200400600

Peers

A Ammon
Comparison fields: 5 of 111
  • Endocrinology 980
  • Food Science 595
  • Biotechnology 173
  • Infectious Diseases 351
  • Virology 61
Replace Ingrid H.M. Friesema with:
Ingrid H.M. Friesema Netherlands
Vũ Đình Thiểm Vietnam
Véronique Vaillant France
Henriette de Valk France
Matthew L. Cartter United States
Myron M. Levine United States
Dirk Werber Germany
Dieter Van Cauteren Belgium
Judith Koch Germany
Linda Chui Canada
A Ammon relative to Ingrid H.M. Friesema Netherlands Ingrid H.M. Friesema's profile →
Citations per field
00.5×1.5×2×2.3×
Ingrid H.M. Friesema · 1×
Citations per year

Countries citing papers authored by A Ammon

Since Specialization
Citations

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

Fields of papers citing papers by A Ammon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Escherichia coliHarboring Shiga Toxin 2 Gene Variants: Frequency and Association with Clinical Symptoms
Hit paper breakdown →
2002638
2 2005171
3 2004152
4 1999107
5 200695
6 200293
7 200989
8 200384
9 200784
10 200682
11 200265
12 200965
13 200560
14 200758
15 200457
16 200053
17 200449
18 200445
19 200843
20 201042

About A Ammon

A Ammon is a scholar working on Food Science, Endocrinology, Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health, having authored 89 papers that have together received 3k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (24 papers), Data-Driven Disease Surveillance (14 papers), Escherichia coli research studies (11 papers), Zoonotic diseases and public health (7 papers), Historical and modern epidemiology studies (4 papers), Viral Infections and Outbreaks Research (4 papers), Influenza Virus Research Studies (4 papers) and Infection Control in Healthcare (4 papers). The work is most often cited by research in Endocrinology (980 citations), Food Science (595 citations), Biotechnology (173 citations), Infectious Diseases (351 citations) and Virology (61 citations). A Ammon has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Helge Karch, Martina Bielaszewska, Alex W. Friedrich, Wenlan Zhang, Thorsten Kuczius, M Pulz, Lyle R. Petersen, Dirk Werber, Helge Karch and Gérard Krause. Their work appears in journals such as Eurosurveillance, Emerging infectious diseases, Epidemiology and Infection, The Journal of Infectious Diseases and European Journal of Clinical Microbiology & Infectious Diseases.

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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