Hajime Kusayanagi
- Neurology top 1%
- Pathology and Forensic Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Francesco MoriDiego CentonzeGiorgio BernardiFabrizia MonteleoneClaudia CodecàGiacomo KochFabio ButtariCarolina Gabri Nicoletti
- Topics
- Multiple Sclerosis Research Studies (13 papers)Neuroscience and Neuropharmacology Research (7 papers)Transcranial Magnetic Stimulation Studies (7 papers)
- Partner nations
- ItalyJapanUnited States
In The Last Decade
Hajime Kusayanagi
26 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Neurology 778
- Pathology and Forensic Medicine 419
- Cellular and Molecular Neuroscience 356
- Neurology 274
- Cognitive Neuroscience 229
Countries citing papers authored by Hajime Kusayanagi
This map shows the geographic impact of Hajime Kusayanagi'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 Hajime Kusayanagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Kusayanagi more than expected).
Fields of papers citing papers by Hajime Kusayanagi
This network shows the impact of papers produced by Hajime Kusayanagi. 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 Hajime Kusayanagi. The network helps show where Hajime Kusayanagi may publish in the future.
Co-authorship network of co-authors of Hajime Kusayanagi
This figure shows the co-authorship network connecting the top 25 collaborators of Hajime Kusayanagi. A scholar is included among the top collaborators of Hajime Kusayanagi 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 Hajime Kusayanagi. Hajime Kusayanagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Influence of Electroacupuncture Stimulation on Nitric Monoxide Production in Vascular Endothelial Cells in Rats. | 3 |
| 2 | Influence of Palmatine on Bone Metabolism in Ovariectomized Mice and Cytokine Secretion of Osteoblasts. | 15 |
| 3 | KAMPO MEDICINE "DAIKENCHUTO" PREVENTS THE DECREASE OF INTERSTITIAL CELLS OF CAJAL IN MICE WITH CONSTIPATION INDUCED BY MORPHINE | 0 |
| 4 | 15 | |
| 5 | 71 | |
| 6 | 64 | |
| 7 | 61 | |
| 8 | 53 | |
| 9 | 32 | |
| 10 | 70 | |
| 11 | 95 | |
| 12 | 52 | |
| 13 | 39 | |
| 14 | 91 | |
| 15 | 17 | |
| 16 | 22 | |
| 17 | 193 | |
| 18 | 97 | |
| 19 | 118 | |
| 20 | 94 |
About Hajime Kusayanagi
Hajime Kusayanagi is a scholar working on Neurology, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Neuroscience and Neuropharmacology Research (7 papers) and Transcranial Magnetic Stimulation Studies (7 papers). The work is most often cited by research in Neurology (778 citations), Developmental Neuroscience (106 citations) and Pathology and Forensic Medicine (419 citations). Hajime Kusayanagi has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Francesco Mori, Diego Centonze, Giorgio Bernardi, Fabrizia Monteleone, Claudia Codecà, Giacomo Koch, Fabio Buttari, Carolina Gabri Nicoletti, Silvia Rossi and Stefania Fiore. Their work appears in journals such as Journal of Neuroscience, Neurology and Journal of Neurophysiology.
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.