Makiko Hayashi
- Hepatology top 2%
- Biological Psychiatry top 5%
- Immunology top 5%
- IL-33, ST2, and ILC Pathways 3
- Macrophage Migration Inhibitory Factor 3
- Molecular Biology top 5%
- Genomics, phytochemicals, and oxidative stress 8
- Neurology top 5%
- Botulinum Toxin and Related Neurological Disorders 3
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- Aortic aneurysm repair treatments 8
- Aortic Disease and Treatment Approaches 8
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- Hereditary Neurological Disorders 5
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- Infectious Aortic and Vascular Conditions 3
- Co-authors
- Masayuki YamamotoTakashi MoriguchiHozumi MotohashiTakafumi SuzukiRyo FunayamaEri KobayashiHiroki SekineNobuyuki Tanaka
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Makiko Hayashi
51 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Hepatology 453
- Biological Psychiatry 84
- Immunology 472
- Molecular Biology 1.5k
- Neurology 181
Countries citing papers authored by Makiko Hayashi
This map shows the geographic impact of Makiko Hayashi'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 Makiko Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makiko Hayashi more than expected).
Fields of papers citing papers by Makiko Hayashi
This network shows the impact of papers produced by Makiko Hayashi. 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 Makiko Hayashi. The network helps show where Makiko Hayashi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makiko Hayashi, 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 | 2025 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 14 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 13 | |
| 8 | 2018 | 11 | |
| 9 | 2017 | 35 | |
| 10 | 2017 | 43 | |
| 11 | 2016 | 135 | |
| 12 | 2014 | 63 | |
| 13 | 2013 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2013 | 7 | |
| 16 | 2012 | 18 | |
| 17 | 2011 | 58 | |
| 18 | 2008 | 5 | |
| 19 | 2002 | 185 | |
| 20 | 1999 | 286 |
About Makiko Hayashi
Makiko Hayashi is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Neurology, having authored 54 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (8 papers), Aortic aneurysm repair treatments (8 papers), Aortic Disease and Treatment Approaches (8 papers), Hereditary Neurological Disorders (5 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Infectious Aortic and Vascular Conditions (3 papers) and Macrophage Migration Inhibitory Factor (3 papers). The work is most often cited by research in Hepatology (453 citations), Biological Psychiatry (84 citations) and Immunology (472 citations). Makiko Hayashi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Masayuki Yamamoto, Takashi Moriguchi, Hozumi Motohashi, Takafumi Suzuki, Ryo Funayama, Eri Kobayashi, Hiroki Sekine, Nobuyuki Tanaka, Takeshi Nagashima and Keiko Nakayama. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.