Ayako Mikami
Impact in
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- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
- Epilepsy research and treatment
Papers in
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- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 4
- Tuberculosis Research and Epidemiology 1
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- Long-Term Effects of COVID-19 3
- Co-authors
- Wataru Sugiura (8 shared papers)Norio Ohmagari (6 shared papers)Hideo Matsumoto (3 shared papers)Katsunaka Mikami (3 shared papers)Kyoji Ito (1 shared paper)Yuichi Inoue (3 shared papers)Hiroyuki Hibino (3 shared papers)Hidenobu Suzuki (3 shared papers)
- Journals
- Modern Rheumatology (2 papers)Cannabis and Cannabinoid Research (1 paper)Psychiatry and Clinical Neurosciences (1 paper)Life (1 paper)Human Psychopharmacology Clinical and Experimental (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Ayako Mikami
16 papers receiving 108 citations
Peers
Comparison fields: 5 of 48
- Psychiatry and Mental health 27
- Biological Psychiatry 4
- Infectious Diseases 29
- Neurology 14
- Modeling and Simulation 4
Countries citing papers authored by Ayako Mikami
This map shows the geographic impact of Ayako Mikami'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 Ayako Mikami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayako Mikami more than expected).
Fields of papers citing papers by Ayako Mikami
This network shows the impact of papers produced by Ayako Mikami. 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 Ayako Mikami. The network helps show where Ayako Mikami may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayako Mikami, 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 | 2020 | 19 | |
| 2 | 2013 | 16 | |
| 3 | 2014 | 13 | |
| 4 | 2012 | 12 | |
| 5 | 2020 | 10 | |
| 6 | 2013 | 10 | |
| 7 | 2013 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2022 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | [A case of rheumatoid arthritis with bucillamine-induced myasthenia gravis treated by immunoadsorption therapy]. | 1999 | 2 |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 |
About Ayako Mikami
Ayako Mikami is a scholar working on Infectious Diseases, Neurology, Molecular Biology, Psychiatry and Mental health and Oncology, having authored 17 papers that have together received 110 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Schizophrenia research and treatment (3 papers), Long-Term Effects of COVID-19 (3 papers), Bone Metabolism and Diseases (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Neuroscience and Neural Engineering (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Psychiatry and Mental health (27 citations), Biological Psychiatry (4 citations), Infectious Diseases (29 citations), Neurology (14 citations) and Modeling and Simulation (4 citations). Ayako Mikami has collaborated with scholars based in Japan and United States. Frequent co-authors include Wataru Sugiura, Norio Ohmagari, Hideo Matsumoto, Katsunaka Mikami, Kyoji Ito, Yuichi Inoue, Hiroyuki Hibino, Hidenobu Suzuki, Yuji Akiyama and Yu Asanuma. Their work appears in journals such as Modern Rheumatology, Cannabis and Cannabinoid Research, Psychiatry and Clinical Neurosciences, Life and Human Psychopharmacology Clinical and Experimental.
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.