Ayaka Shima
- Endocrinology top 2%
- Escherichia coli research studies 7
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 5
- Food Science top 5%
- Salmonella and Campylobacter epidemiology 5
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 5
- Clostridium difficile and Clostridium perfringens research 4
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- Bacterial Genetics and Biotechnology 4
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- Pharmaceutical and Antibiotic Environmental Impacts 3
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- Gut microbiota and health 3
- Co-authors
- Shinji YamasakiAtsushi HinenoyaSharda Prasad AwasthiAtsushi IguchiRabee OmbarakÉric OswaldAkira NagitaTeizo Tsukamoto
- Journals
- Scientific Reports (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Infection and Immunity (1 paper)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Ayaka Shima
24 papers receiving 569 citations
Peers
Comparison fields: 5 of 81
- Endocrinology 240
- Molecular Medicine 176
- Food Science 162
- Infectious Diseases 117
- Biotechnology 48
Countries citing papers authored by Ayaka Shima
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 14 | |
| 2 | 2022 | 4 | |
| 3 | 2022 | 22 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 8 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 34 | |
| 10 | 2016 | 70 | |
| 11 | 2016 | 113 | |
| 12 | 2016 | 8 | |
| 13 | 2016 | 46 | |
| 14 | 2015 | 14 | |
| 15 | 2015 | 24 | |
| 16 | 2015 | 25 | |
| 17 | Isolation, determination and antibiotic resistant of food-born Providencia spp. | 2014 | 2 |
| 18 | 2012 | 14 | |
| 19 | 2012 | 12 | |
| 20 | 2012 | 39 |
About Ayaka Shima
Ayaka Shima is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 24 papers that have together received 588 indexed citations. Recurring topics across this work include Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Salmonella and Campylobacter 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) and Food Science (162 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, Ye Yang and Tsuyoshi Sekizuka. 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.