Jun Mine
Impact in
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- Epilepsy research and treatment
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- Liver Disease and Transplantation
Papers in
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- Epilepsy research and treatment 4
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- Mitochondrial Function and Pathology 2
- Sphingolipid Metabolism and Signaling 1
- Co-authors
- D Moine (1 shared paper)Yuko Kubota (4 shared papers)Yukitoshi Takahashi (4 shared papers)Takeshi Taketani (3 shared papers)Katsumi Imai (3 shared papers)Koichi Baba (1 shared paper)Yushi Inoue (3 shared papers)Kazuko Kishi (2 shared papers)
- Journals
- Brain and Development (2 papers)Journal of the Peripheral Nervous System (1 paper)Developmental Medicine & Child Neurology (1 paper)Journal of the Japan Epilepsy Society (1 paper)PubMed (3 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Mine
9 papers receiving 108 citations
Peers
Comparison fields: 5 of 33
- Psychiatry and Mental health 47
- Hepatology 16
- Cellular and Molecular Neuroscience 25
- Clinical Biochemistry 6
- Neurology 10
Countries citing papers authored by Jun Mine
This map shows the geographic impact of Jun Mine'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 Mine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mine more than expected).
Fields of papers citing papers by Jun Mine
This network shows the impact of papers produced by Jun Mine. 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 Mine. The network helps show where Jun Mine may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mine, 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 | 2013 | 36 | |
| 2 | 2014 | 29 | |
| 3 | Splenoportographic changes in chronic pancreatitis. | 1968 | 29 |
| 4 | 2012 | 8 | |
| 5 | 2023 | 4 | |
| 6 | [Effectiveness of topiramate in eleven patients with Dravet syndrome]. | 2010 | 4 |
| 7 | Characteristics of epilepsy and immunological markers in epileptic patients after infl uenza- associated encephalopathy | 2013 | 4 |
| 8 | [Remarkable effect of a modified ketogenic diet in a boy with focal seizures followed by epileptic spasms in a cluster]. | 2011 | 2 |
| 9 | 2020 | 1 |
About Jun Mine
Jun Mine is a scholar working on Psychiatry and Mental health, Molecular Biology, Pediatrics, Perinatology and Child Health, Clinical Biochemistry and Physiology, having authored 9 papers that have together received 117 indexed citations. Recurring topics across this work include Epilepsy research and treatment (4 papers), Metabolism and Genetic Disorders (2 papers), Mitochondrial Function and Pathology (2 papers), Sphingolipid Metabolism and Signaling (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper), Pancreatitis Pathology and Treatment (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Psychiatry and Mental health (47 citations), Hepatology (16 citations), Cellular and Molecular Neuroscience (25 citations), Clinical Biochemistry (6 citations) and Neurology (10 citations). Jun Mine has collaborated with scholars based in Japan and United States. Frequent co-authors include D Moine, Yuko Kubota, Yukitoshi Takahashi, Takeshi Taketani, Katsumi Imai, Koichi Baba, Yushi Inoue, Kazuko Kishi, Yoko Ohtsuka and Etsuko Yamazaki. Their work appears in journals such as Brain and Development, Journal of the Peripheral Nervous System, Developmental Medicine & Child Neurology, Journal of the Japan Epilepsy Society and PubMed.
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.