Ayaka Shima

1.1k citations
24 papers · 588 · h-index 15

Impact in

    • Escherichia coli research studies
    • Enterobacteriaceae and Cronobacter Research
    • Antibiotic Resistance in Bacteria

Papers in

Ayaka Shima

24 papers receiving 569 citations

Peers

Ayaka Shima
Comparison fields: 5 of 81
  • Endocrinology 240
  • Molecular Medicine 176
  • Food Science 162
  • Infectious Diseases 117
  • Biotechnology 48
Replace Ariadnna Cruz‐Córdova with:
Ariadnna Cruz‐Córdova Mexico
Tomasz Wołkowicz Poland
Ygnacio Martínez‐Laguna Mexico
Jérémy Glodt France
Guangcai Duan China
Sébastien Houle Canada
Sara A. Ochoa Mexico
Ronan A. Murphy United Kingdom
Kamonnut Singkhamanan Thailand
Lidia Ruiz‐Roldán Spain
Ayaka Shima relative to Ariadnna Cruz‐Córdova Mexico Ariadnna Cruz‐Córdova's profile →
Citations per field
00.5×1.5×
Ariadnna Cruz‐Córdova · 1×
Citations per year

Countries citing papers authored by Ayaka Shima

Since Specialization
Citations

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

Fields of papers citing papers by Ayaka Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016113
2 201670
3 201646
4 201239
5 201639
6 201734
7 202127
8 201525
9 201524
10 202222
11 201517
12 201815
13 201214
14 202314
15 201514
16 202113
17 201212
18 202210
19 201510
20 20208

About Ayaka Shima

Ayaka Shima is a scholar working on Infectious Diseases, Molecular Biology, Endocrinology, Molecular Medicine and Food Science, having authored 24 papers that have together received 588 indexed citations. Recurring topics across this work include Escherichia coli research studies (7 papers), Salmonella and Campylobacter epidemiology (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Endocrinology (240 citations), Molecular Medicine (176 citations), Food Science (162 citations), Infectious Diseases (117 citations) and Biotechnology (48 citations). Ayaka Shima has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Shinji Yamasaki, Atsushi Hinenoya, Sharda Prasad Awasthi, Atsushi Iguchi, Rabee Ombarak, Éric Oswald, Akira Nagita, Teizo Tsukamoto, Satowa Suzuki and Prabhanshu Tripathi. Their work appears in journals such as Scientific Reports, Antimicrobial Agents and Chemotherapy, Infection and Immunity, International Journal of Food Microbiology and Nature 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.

Explore authors with similar magnitude of impact