Riki Kawaguchi
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 0.5%
- Developmental Neuroscience top 0.2%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Giovanni CoppolaMichael V. SofroniewBaljit S. KhakhHui SunYan AoTimothy M. O’SheaJoshua E. BurdaMark A. Anderson
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (25 papers)Nerve injury and regeneration (20 papers)Neurogenesis and neuroplasticity mechanisms (20 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Riki Kawaguchi
100 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.1k
- Cellular and Molecular Neuroscience 2.0k
- Neurology 1.4k
- Developmental Neuroscience 1.2k
- Pathology and Forensic Medicine 882
Countries citing papers authored by Riki Kawaguchi
This map shows the geographic impact of Riki Kawaguchi'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 Riki Kawaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riki Kawaguchi more than expected).
Fields of papers citing papers by Riki Kawaguchi
This network shows the impact of papers produced by Riki Kawaguchi. 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 Riki Kawaguchi. The network helps show where Riki Kawaguchi may publish in the future.
Co-authorship network of co-authors of Riki Kawaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Riki Kawaguchi. A scholar is included among the top collaborators of Riki Kawaguchi 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 Riki Kawaguchi. Riki Kawaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 44 | |
| 9 | 27 | |
| 10 | 30 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | Molecular basis of astrocyte diversity and morphology across the CNS in health and diseasebreakdown → | 296 |
| 15 | 95 | |
| 16 | 16 | |
| 17 | 44 | |
| 18 | 13 | |
| 19 | 31 | |
| 20 | A Membrane Receptor for Retinol Binding Protein Mediates Cellular Uptake of Vitamin Abreakdown → | 633 |
About Riki Kawaguchi
Riki Kawaguchi is a scholar working on Developmental Neuroscience, Neurology and Biochemistry, having authored 104 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Nerve injury and regeneration (20 papers) and Neurogenesis and neuroplasticity mechanisms (20 papers). The work is most often cited by research in Developmental Neuroscience (1.2k citations), Neurology (1.4k citations) and Cellular and Molecular Neuroscience (2.0k citations). Riki Kawaguchi has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Giovanni Coppola, Michael V. Sofroniew, Baljit S. Khakh, Hui Sun, Yan Ao, Timothy M. O’Shea, Joshua E. Burda, Mark A. Anderson, Timothy J. Deming and Julia Bailey‐Serres. Their work appears in journals such as Nature, Science and Cell.
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.