Koichi Maruyama
Impact in
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- Neonatal and fetal brain pathology
- Infant Development and Preterm Care
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
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- Neonatal and fetal brain pathology 19
- Infant Development and Preterm Care 5
-
- Metabolism and Genetic Disorders 6
- Co-authors
- Akihisa OkumuraKazuyoshi WatanabeTetsuo KubotaFumio HayakawaHiroyuki KidokoroYoshiki KaneokeRyusuke KakigiToru Kato
- Journals
- Brain and Development (18 papers)Epilepsia (4 papers)Japanese Journal of Applied Physics (4 papers)Neuroscience Research (2 papers)Journal of the Physical Society of Japan (2 papers)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Koichi Maruyama
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Pediatrics, Perinatology and Child Health 356
- Psychiatry and Mental health 153
- Cognitive Neuroscience 186
- Nuclear and High Energy Physics 97
- Radiation 57
Countries citing papers authored by Koichi Maruyama
This map shows the geographic impact of Koichi Maruyama'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 Koichi Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Maruyama more than expected).
Fields of papers citing papers by Koichi Maruyama
This network shows the impact of papers produced by Koichi Maruyama. 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 Koichi Maruyama. The network helps show where Koichi Maruyama may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichi Maruyama, 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 | 0 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 7 | |
| 5 | 2018 | 9 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 16 | |
| 8 | 2016 | 9 | |
| 9 | 2014 | 2 | |
| 10 | 2013 | 2 | |
| 11 | 2010 | 6 | |
| 12 | 2009 | 18 | |
| 13 | 2007 | 21 | |
| 14 | 2006 | 24 | |
| 15 | 2006 | 14 | |
| 16 | 2004 | 1 | |
| 17 | 2003 | 35 | |
| 18 | 2003 | 11 | |
| 19 | 2002 | 15 | |
| 20 | 1989 | 11 |
About Koichi Maruyama
Koichi Maruyama is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Psychiatry and Mental health, Nuclear and High Energy Physics and Radiation, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (19 papers), Epilepsy research and treatment (13 papers), Neonatal Respiratory Health Research (9 papers), Quantum Chromodynamics and Particle Interactions (7 papers), Nuclear physics research studies (6 papers), Metabolism and Genetic Disorders (6 papers), Infant Development and Preterm Care (5 papers) and Particle physics theoretical and experimental studies (5 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (356 citations), Psychiatry and Mental health (153 citations), Cognitive Neuroscience (186 citations), Nuclear and High Energy Physics (97 citations) and Radiation (57 citations). Koichi Maruyama has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Akihisa Okumura, Kazuyoshi Watanabe, Tetsuo Kubota, Fumio Hayakawa, Hiroyuki Kidokoro, Yoshiki Kaneoke, Ryusuke Kakigi, Toru Kato, K. Yamasawa and P.P. Biringer. Their work appears in journals such as Brain and Development, Epilepsia, Japanese Journal of Applied Physics, Neuroscience Research and Journal of the Physical Society of Japan.
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.