Mika Aoki
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
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- Angiogenesis and VEGF in Cancer
Papers in
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- Angiogenesis and VEGF in Cancer 4
- Receptor Mechanisms and Signaling 3
- Fibroblast Growth Factor Research 2
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- Proteoglycans and glycosaminoglycans research 2
- Co-authors
- Toyoaki Murohara (7 shared papers)Takahisa Kondo (5 shared papers)Koichi S. Kobayashi (4 shared papers)Kenji Okumura (2 shared papers)Toyojiro Matsuishi (1 shared paper)Kimiyasu Egami (1 shared paper)Yasushi Numaguchi (2 shared papers)Kimihiro Komori (2 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (3 papers)International Journal of Molecular Medicine (1 paper)American Journal of Veterinary Research (1 paper)Bone (1 paper)Hypertension (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Mika Aoki
35 papers receiving 588 citations
Peers
Comparison fields: 5 of 87
- Genetics 106
- Molecular Biology 242
- Cancer Research 47
- Urology 17
- Biomaterials 36
Countries citing papers authored by Mika Aoki
This map shows the geographic impact of Mika Aoki'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 Mika Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Aoki more than expected).
Fields of papers citing papers by Mika Aoki
This network shows the impact of papers produced by Mika Aoki. 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 Mika Aoki. The network helps show where Mika Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Mika Aoki, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 73 | |
| 2 | 2004 | 63 | |
| 3 | 2007 | 62 | |
| 4 | 2006 | 51 | |
| 5 | 2005 | 43 | |
| 6 | 2006 | 37 | |
| 7 | 1993 | 26 | |
| 8 | 2004 | 23 | |
| 9 | 2006 | 22 | |
| 10 | 2006 | 19 | |
| 11 | 2019 | 19 | |
| 12 | 2003 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 1997 | 16 | |
| 15 | Case-control association study of human netrin G1 gene in Japanese schizophrenia. | 2004 | 12 |
| 16 | 2018 | 11 | |
| 17 | 2004 | 10 | |
| 18 | 2011 | 10 | |
| 19 | 1999 | 9 | |
| 20 | 2013 | 9 |
About Mika Aoki
Mika Aoki is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 606 indexed citations. Recurring topics across this work include Veterinary Oncology Research (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Receptor Mechanisms and Signaling (3 papers), Diabetes Treatment and Management (3 papers), Neuropeptides and Animal Physiology (3 papers), Fibroblast Growth Factor Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Genetics (106 citations), Molecular Biology (242 citations), Cancer Research (47 citations), Urology (17 citations) and Biomaterials (36 citations). Mika Aoki has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Toyoaki Murohara, Takahisa Kondo, Koichi S. Kobayashi, Kenji Okumura, Toyojiro Matsuishi, Kimiyasu Egami, Yasushi Numaguchi, Kimihiro Komori, Ping Li and Yuji Narita. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, International Journal of Molecular Medicine, American Journal of Veterinary Research, Bone and Hypertension.
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.