Jun Natsume
Impact in
- Psychiatry and Mental health top 1%
- Epilepsy research and treatment
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- Neonatal and fetal brain pathology
- Pharmacological Effects and Toxicity Studies
Papers in
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- Epilepsy research and treatment 59
-
- Neonatal and fetal brain pathology 38
- Fetal and Pediatric Neurological Disorders 22
- Pharmacological Effects and Toxicity Studies 13
- Co-authors
- Andrea BernasconiAkihisa OkumuraNeda BernasconiKazuyoshi WatanabeHiroyuki KidokoroTetsuo KubotaFrédérick AndermannSeiji Kojima
- Journals
- Brain and Development (30 papers)Epilepsia (13 papers)Pediatric Neurology (11 papers)Neuropediatrics (6 papers)Developmental Medicine & Child Neurology (5 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Jun Natsume
137 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Psychiatry and Mental health 826
- Pediatrics, Perinatology and Child Health 668
- Microbiology 144
- Cellular and Molecular Neuroscience 345
- Infectious Diseases 325
Countries citing papers authored by Jun Natsume
This map shows the geographic impact of Jun Natsume'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 Jun Natsume with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Natsume more than expected).
Fields of papers citing papers by Jun Natsume
This network shows the impact of papers produced by Jun Natsume. 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 Jun Natsume. The network helps show where Jun Natsume may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Natsume, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 5 | |
| 15 | 2018 | 10 | |
| 16 | 2018 | 4 | |
| 17 | 2015 | 6 | |
| 18 | 2015 | 33 | |
| 19 | 1996 | 28 | |
| 20 | 1995 | 7 |
About Jun Natsume
Jun Natsume is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Microbiology and Infectious Diseases, having authored 148 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epilepsy research and treatment (59 papers), Neonatal and fetal brain pathology (38 papers), Infectious Encephalopathies and Encephalitis (23 papers), Fetal and Pediatric Neurological Disorders (22 papers), Neonatal Respiratory Health Research (15 papers), Metabolism and Genetic Disorders (15 papers), Pharmacological Effects and Toxicity Studies (13 papers) and Neuroscience and Neuropharmacology Research (13 papers). The work is most often cited by research in Psychiatry and Mental health (826 citations), Pediatrics, Perinatology and Child Health (668 citations), Microbiology (144 citations), Cellular and Molecular Neuroscience (345 citations) and Infectious Diseases (325 citations). Jun Natsume has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Andrea Bernasconi, Akihisa Okumura, Neda Bernasconi, Kazuyoshi Watanabe, Hiroyuki Kidokoro, Tetsuo Kubota, Neda Bernasconi, Frédérick Andermann, Seiji Kojima and Fumio Hayakawa. Their work appears in journals such as Brain and Development, Epilepsia, Pediatric Neurology, Neuropediatrics and Developmental Medicine & Child 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.