Sei Harada
Impact in
- Ophthalmology top 5%
- Retinal Diseases and Treatments
-
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
Papers in
-
- Metabolomics and Mass Spectrometry Studies 19
- Gut microbiota and health 5
-
- Retinal Diseases and Treatments 4
- Co-authors
- Toru Takebayashi (30 shared papers)Miho Iida (19 shared papers)Tomoyoshi Soga (14 shared papers)Akiyoshi Hirayama (14 shared papers)Masaru Tomita (14 shared papers)Masahiro Sugimoto (14 shared papers)Yuji Nishiwaki (7 shared papers)Kazuyo Kuwabara (19 shared papers)
- Journals
- Journal of Atherosclerosis and Thrombosis (4 papers)PLoS ONE (4 papers)Environmental Health and Preventive Medicine (3 papers)Journal of Epidemiology (3 papers)Scientific Reports (3 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Sei Harada
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Ophthalmology 90
- Molecular Biology 500
- Physiology 136
- Biological Psychiatry 12
- Spectroscopy 86
Countries citing papers authored by Sei Harada
This map shows the geographic impact of Sei Harada'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 Sei Harada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei Harada more than expected).
Fields of papers citing papers by Sei Harada
This network shows the impact of papers produced by Sei Harada. 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 Sei Harada. The network helps show where Sei Harada may publish in the future.
Co-authors
The 25 scholars most cited alongside Sei Harada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 99 | |
| 2 | 2019 | 92 | |
| 3 | 2015 | 86 | |
| 4 | 2015 | 74 | |
| 5 | 2018 | 63 | |
| 6 | 2019 | 63 | |
| 7 | 2016 | 51 | |
| 8 | 2020 | 46 | |
| 9 | 2020 | 46 | |
| 10 | 2018 | 39 | |
| 11 | 2019 | 39 | |
| 12 | 2014 | 39 | |
| 13 | 2020 | 38 | |
| 14 | 2016 | 37 | |
| 15 | 2019 | 37 | |
| 16 | 2021 | 35 | |
| 17 | 2023 | 25 | |
| 18 | 2020 | 24 | |
| 19 | 2020 | 22 | |
| 20 | 2016 | 22 |
About Sei Harada
Sei Harada is a scholar working on Molecular Biology, Ophthalmology, Physiology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (19 papers), Nutritional Studies and Diet (5 papers), Gut microbiota and health (5 papers), Diet and metabolism studies (5 papers), Retinal Diseases and Treatments (4 papers), COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Ophthalmology (90 citations), Molecular Biology (500 citations), Physiology (136 citations), Biological Psychiatry (12 citations) and Spectroscopy (86 citations). Sei Harada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toru Takebayashi, Miho Iida, Tomoyoshi Soga, Akiyoshi Hirayama, Masaru Tomita, Masahiro Sugimoto, Yuji Nishiwaki, Kazuyo Kuwabara, Daisuke Sugiyama and Tomonori Okamura. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, PLoS ONE, Environmental Health and Preventive Medicine, Journal of Epidemiology and Scientific Reports.
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.