A. Hase

498 citations
16 papers · 412 · h-index 9

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Viral gastroenteritis research and epidemiology

Papers in

    • Escherichia coli research studies 6
    • Enterobacteriaceae and Cronobacter Research 2
    • Salmonella and Campylobacter epidemiology 3

A. Hase

14 papers receiving 399 citations

Peers

A. Hase
Comparison fields: 5 of 64
  • Endocrinology 172
  • Infectious Diseases 140
  • Biotechnology 58
  • Food Science 118
  • Molecular Medicine 25
Replace Stefan Kaulfuß with:
Stefan Kaulfuß Germany
David T. Mulder Canada
Cristina Giogha Australia
Manon Rosselin Switzerland
P M Newsome Australia
A M Bordun Australia
Ayan Lahiri India
Thomas A. Halsey United States
Krzysztof Grzymajło Poland
Spiros Servos United Kingdom
A. Hase relative to Stefan Kaulfuß Germany Stefan Kaulfuß's profile →
Citations per field
00.5×1.5×
Stefan Kaulfuß · 1×
Citations per year

Countries citing papers authored by A. Hase

Since Specialization
Citations

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

Fields of papers citing papers by A. Hase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1995150
2 200254
3 200944
4 200440
5 200040
6 199824
7 199424
8 200611
9
Phage typing and DNA-based comparison of strains of enterohemorrhagic Escherichia coli O157 from apparently sporadic infections in Osaka City, Japan, 1996.
20018
10 19907
11 19874
12 19893
13 20002
14 20241
15 20250
16 20250

About A. Hase

A. Hase is a scholar working on Endocrinology, Food Science, Infectious Diseases, Molecular Biology and Immunology, having authored 16 papers that have together received 412 indexed citations. Recurring topics across this work include Escherichia coli research studies (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Aquaculture disease management and microbiota (3 papers), Bacteriophages and microbial interactions (2 papers), Genomics and Phylogenetic Studies (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Listeria monocytogenes in Food Safety (2 papers). The work is most often cited by research in Endocrinology (172 citations), Infectious Diseases (140 citations), Biotechnology (58 citations), Food Science (118 citations) and Molecular Medicine (25 citations). A. Hase has collaborated with scholars based in Japan, Sweden and India. Frequent co-authors include Masato Enari, Shigekazu Nagata, Yoshikazu Nishikawa, Junetsu Ogasawara, Kosuke Haruki, Ziwen Zhou, Kentaro Arikawa, Hiromi Nakamura, T. Cheasty and Anna Helander. Their work appears in journals such as Epidemiology and Infection, The EMBO Journal, Journal of Clinical Microbiology, Journal of Applied Microbiology and International Journal of Food 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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