Hitomi Kurinami
- Physiology top 5%
- Molecular Biology
- Neurology top 2%
- Cellular and Molecular Neuroscience top 5%
- Surgery
- Co-authors
- Ryuichi MorishitaNaoyuki SatoMunehisa ShimamuraHiromi RakugiDaisuke TakeuchiShuko TakedaMitsuru ShinoharaToshio Ogihara
- Topics
- Alzheimer's disease research and treatments (7 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Computational Drug Discovery Methods (5 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
Hitomi Kurinami
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Physiology 668
- Molecular Biology 600
- Neurology 372
- Cellular and Molecular Neuroscience 311
- Surgery 213
Countries citing papers authored by Hitomi Kurinami
This map shows the geographic impact of Hitomi Kurinami'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 Hitomi Kurinami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitomi Kurinami more than expected).
Fields of papers citing papers by Hitomi Kurinami
This network shows the impact of papers produced by Hitomi Kurinami. 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 Hitomi Kurinami. The network helps show where Hitomi Kurinami may publish in the future.
Co-authorship network of co-authors of Hitomi Kurinami
This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Kurinami. A scholar is included among the top collaborators of Hitomi Kurinami 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 Hitomi Kurinami. Hitomi Kurinami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 38 | |
| 4 | 27 | |
| 5 | 31 | |
| 6 | 41 | |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 15 | |
| 10 | 407 | |
| 11 | 99 | |
| 12 | 49 | |
| 13 | 22 | |
| 14 | 33 | |
| 15 | 6 | |
| 16 | Clinical Trial of Human Gene Therapy Using Hepatocyte Growth Factor Gene Transfer(Translational Research in Cardiovascular Disease, The 69th Annual Scientific Meeting of the Japanese Circulation Society) | 1 |
| 17 | 45 | |
| 18 | 68 | |
| 19 | 24 | |
| 20 | 54 |
About Hitomi Kurinami
Hitomi Kurinami is a scholar working on Neurology, Developmental Neuroscience and Rehabilitation, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Neurology (372 citations), Physiology (668 citations) and Biological Psychiatry (61 citations). Hitomi Kurinami has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Ryuichi Morishita, Naoyuki Sato, Munehisa Shimamura, Hiromi Rakugi, Daisuke Takeuchi, Shuko Takeda, Mitsuru Shinohara, Toshio Ogihara, Takanori Kunieda and Kozue Uchio‐Yamada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.