Tomoichi Kusunoki
- Pediatrics, Perinatology and Child Health top 10%
- Epidemiology
- Molecular Biology
- Neurology top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Tadashi SawadaAkihiko KinugasaKentaro TsunamotoYasuo KasubuchiMorimi ShimadaYuji MorikawaHiroshi YoshiokaTetsuo Hashida
- Topics
- Metabolism and Genetic Disorders (11 papers)Neuroblastoma Research and Treatments (7 papers)Glycogen Storage Diseases and Myoclonus (5 papers)
- Journals
- PEDIATRICSCancerAnnals of Neurology
- Partner nations
- Japan
In The Last Decade
Tomoichi Kusunoki
53 papers receiving 632 citations
Peers
Comparison fields: 5 of 80
- Pediatrics, Perinatology and Child Health 167
- Epidemiology 160
- Molecular Biology 158
- Neurology 129
- Endocrinology, Diabetes and Metabolism 105
Countries citing papers authored by Tomoichi Kusunoki
This map shows the geographic impact of Tomoichi Kusunoki'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 Tomoichi Kusunoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoichi Kusunoki more than expected).
Fields of papers citing papers by Tomoichi Kusunoki
This network shows the impact of papers produced by Tomoichi Kusunoki. 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 Tomoichi Kusunoki. The network helps show where Tomoichi Kusunoki may publish in the future.
Co-authorship network of co-authors of Tomoichi Kusunoki
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoichi Kusunoki. A scholar is included among the top collaborators of Tomoichi Kusunoki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomoichi Kusunoki. Tomoichi Kusunoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 149 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | Total Therapy of A Patient with Stage IV Neuroblastoma : Clinical Use of the Maturation Provocative Therapy | 1 |
| 12 | 54 | |
| 13 | 3 | |
| 14 | 11 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 5 |
About Tomoichi Kusunoki
Tomoichi Kusunoki is a scholar working on Clinical Biochemistry, Pediatrics, Perinatology and Child Health and Endocrine and Autonomic Systems, having authored 57 papers that have together received 694 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Neuroblastoma Research and Treatments (7 papers) and Glycogen Storage Diseases and Myoclonus (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (58 citations), Neurology (129 citations) and Pediatrics, Perinatology and Child Health (167 citations). Tomoichi Kusunoki has collaborated with scholars based in Japan. Frequent co-authors include Tadashi Sawada, Akihiko Kinugasa, Kentaro Tsunamoto, Yasuo Kasubuchi, Morimi Shimada, Yuji Morikawa, Hiroshi Yoshioka, Tetsuo Hashida, Takafumi Matsumura and Izumi Sakamoto. Their work appears in journals such as PEDIATRICS, Cancer and Annals of Neurology.
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.