Yukiko Doi
Impact in
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
- Neurology 19
- Neuroinflammation and Neurodegeneration Mechanisms 18
- Immunology 17
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 4
- Co-authors
- Akio Suzumura (19 shared papers)Tetsuya Mizuno (19 shared papers)Hideyuki Takeuchi (18 shared papers)Yoshifumi Sonobe (15 shared papers)Shijie Jin (13 shared papers)Jun Kawanokuchi (14 shared papers)Mariko Noda (10 shared papers)Bijay Parajuli (7 shared papers)
- Journals
- Blood (4 papers)Brain Research (3 papers)PLoS ONE (3 papers)Tetrahedron (2 papers)Journal of Neuroinflammation (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Yukiko Doi
47 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Neurology 667
- Biological Psychiatry 129
- Developmental Neuroscience 111
- Immunology 556
- Cellular and Molecular Neuroscience 255
Countries citing papers authored by Yukiko Doi
This map shows the geographic impact of Yukiko Doi'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 Yukiko Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Doi more than expected).
Fields of papers citing papers by Yukiko Doi
This network shows the impact of papers produced by Yukiko Doi. 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 Yukiko Doi. The network helps show where Yukiko Doi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yukiko Doi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 175 | |
| 2 | 2012 | 129 | |
| 3 | 2010 | 123 | |
| 4 | 2011 | 123 | |
| 5 | 2011 | 121 | |
| 6 | 2009 | 119 | |
| 7 | 2008 | 91 | |
| 8 | 2013 | 90 | |
| 9 | 2008 | 89 | |
| 10 | 2008 | 85 | |
| 11 | 2009 | 82 | |
| 12 | 2010 | 47 | |
| 13 | 1995 | 38 | |
| 14 | 2012 | 37 | |
| 15 | 2012 | 36 | |
| 16 | 2012 | 36 | |
| 17 | 1992 | 34 | |
| 18 | 2018 | 26 | |
| 19 | 2005 | 25 | |
| 20 | 1996 | 25 |
About Yukiko Doi
Yukiko Doi is a scholar working on Neurology, Immunology, Molecular Biology, Hematology and Cellular and Molecular Neuroscience, having authored 50 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Acute Myeloid Leukemia Research (6 papers), Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Immune cells in cancer (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Immune Cell Function and Interaction (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Neurology (667 citations), Biological Psychiatry (129 citations), Developmental Neuroscience (111 citations), Immunology (556 citations) and Cellular and Molecular Neuroscience (255 citations). Yukiko Doi has collaborated with scholars based in Japan and United States. Frequent co-authors include Akio Suzumura, Tetsuya Mizuno, Hideyuki Takeuchi, Yoshifumi Sonobe, Shijie Jin, Jun Kawanokuchi, Mariko Noda, Bijay Parajuli, Jianfeng Liang and Hiroyuki Mizoguchi. Their work appears in journals such as Blood, Brain Research, PLoS ONE, Tetrahedron and Journal of Neuroinflammation.
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.