Kenji Mokuno
- Molecular Biology
- Neurology top 5%
- Cellular and Molecular Neuroscience top 10%
- Physiology
- Neurology top 10%
- Co-authors
- Kanefusa KatoTsutomu YanagiI SobueYukihiko MatsuokaDavid PleasureGen SobueS RikuTakeshi Yasuda
- Topics
- S100 Proteins and Annexins (12 papers)Genetic Neurodegenerative Diseases (5 papers)Peripheral Neuropathies and Disorders (4 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Kenji Mokuno
42 papers receiving 816 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 416
- Neurology 252
- Cellular and Molecular Neuroscience 237
- Physiology 108
- Neurology 106
Countries citing papers authored by Kenji Mokuno
This map shows the geographic impact of Kenji Mokuno'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 Kenji Mokuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Mokuno more than expected).
Fields of papers citing papers by Kenji Mokuno
This network shows the impact of papers produced by Kenji Mokuno. 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 Kenji Mokuno. The network helps show where Kenji Mokuno may publish in the future.
Co-authorship network of co-authors of Kenji Mokuno
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Mokuno. A scholar is included among the top collaborators of Kenji Mokuno 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 Kenji Mokuno. Kenji Mokuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 3 | |
| 3 | 21 | |
| 4 | [Features of MRI diffusion weighted image in early stage of lateral medullary infarction presenting Wallenberg syndrome]. | 2 |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 43 | |
| 9 | 35 | |
| 10 | [Superoxide dismutase in cerebrospinal fluid in patients with neurological diseases]. | 2 |
| 11 | 11 | |
| 12 | 26 | |
| 13 | 59 | |
| 14 | [Cerebrospinal fluid levels of 28 kDa calcium-binding protein in patients with neurological diseases]. | 1 |
| 15 | [Cerebrospinal fluid neuron-specific enolase (NSE) and S-100b protein in Guillain-Barré syndrome--their relations to prognosis]. | 2 |
| 16 | [Neuron-specific enolase and S-100 protein levels in cerebrospinal fluid of patients with cervical spondylosis and ossification of posterior longitudinal ligaments]. | 1 |
| 17 | 52 | |
| 18 | 46 | |
| 19 | [Basic and clinical studies of measurement of neuron-specific enolase (NSE) by radioimmunoassay]. | 0 |
| 20 | 31 |
About Kenji Mokuno
Kenji Mokuno is a scholar working on Neurology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 43 papers that have together received 839 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (12 papers), Genetic Neurodegenerative Diseases (5 papers) and Peripheral Neuropathies and Disorders (4 papers). The work is most often cited by research in Developmental Neuroscience (74 citations), Neurology (252 citations) and Cellular and Molecular Neuroscience (237 citations). Kenji Mokuno has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Kanefusa Kato, Tsutomu Yanagi, I Sobue, Yukihiko Matsuoka, David Pleasure, Gen Sobue, S Riku, Takeshi Yasuda, Barbara Kreider and Maria Sessa. Their work appears in journals such as Neurology, Brain Research and Journal of Neurochemistry.
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.