Tadahisa Kitamura
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 10
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Barrier Structure and Function Studies 3
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- Nerve injury and regeneration 5
- Neuroscience and Neuropharmacology Research 4
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 10
- Barrier Structure and Function Studies 3
- Cell Biology top 10%
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- RNA regulation and disease 4
- S100 Proteins and Annexins 3
- RNA Research and Splicing 3
- Co-authors
- Toshihiko MiyakeSetsuya FujitaMasaru FukudaTakanori HattoriKazuo KawasakiTakuya SakaguchiYoshinari GaharaManabu Nakayama
- Partner nations
- JapanAustriaUnited States
In The Last Decade
Tadahisa Kitamura
32 papers receiving 927 citations
Peers
Comparison fields: 5 of 86
- Developmental Neuroscience 251
- Neurology 296
- Cellular and Molecular Neuroscience 373
- Neurology 109
- Cell Biology 114
Countries citing papers authored by Tadahisa Kitamura
This map shows the geographic impact of Tadahisa Kitamura'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 Tadahisa Kitamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadahisa Kitamura more than expected).
Fields of papers citing papers by Tadahisa Kitamura
This network shows the impact of papers produced by Tadahisa Kitamura. 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 Tadahisa Kitamura. The network helps show where Tadahisa Kitamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tadahisa Kitamura, 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 | 2003 | 6 | |
| 2 | 2000 | 2 | |
| 3 | 1996 | 46 | |
| 4 | 1995 | 4 | |
| 5 | 1995 | 13 | |
| 6 | 1994 | 76 | |
| 7 | 1994 | 6 | |
| 8 | 1993 | 144 | |
| 9 | 1993 | 7 | |
| 10 | 1992 | 37 | |
| 11 | 1992 | 46 | |
| 12 | 1989 | 47 | |
| 13 | 1989 | 6 | |
| 14 | 1988 | 144 | |
| 15 | 1988 | 16 | |
| 16 | 1987 | 45 | |
| 17 | 1974 | 15 | |
| 18 | 1973 | 24 | |
| 19 | 1972 | 19 | |
| 20 | 1972 | 1 |
About Tadahisa Kitamura
Tadahisa Kitamura is a scholar working on Developmental Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 943 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Nerve injury and regeneration (5 papers), RNA regulation and disease (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Barrier Structure and Function Studies (3 papers), S100 Proteins and Annexins (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Developmental Neuroscience (251 citations), Neurology (296 citations) and Cellular and Molecular Neuroscience (373 citations). Tadahisa Kitamura has collaborated with scholars based in Japan, Austria and United States. Frequent co-authors include Toshihiko Miyake, Setsuya Fujita, Masaru Fukuda, Takanori Hattori, Kazuo Kawasaki, Takuya Sakaguchi, Yoshinari Gahara, Manabu Nakayama, Osamu Ohara and Sachihiko Watanabe. Their work appears in journals such as The Journal of Comparative Neurology, Brain Research and Gene.
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.