Mika Aoki
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Angiogenesis and VEGF in Cancer 6
- Receptor Mechanisms and Signaling 3
- Chemical Synthesis and Analysis 2
-
- Veterinary Oncology Research 4
- 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)The Journal of Antibiotics (1 paper)Stem Cells (1 paper)Tetrahedron Letters (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Mika Aoki
34 papers receiving 557 citations
Peers
Comparison fields: 5 of 89
- Genetics 120
- Cancer Research 60
- Molecular Biology 270
- Biomaterials 40
- Urology 19
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 | 69 | |
| 2 | 2007 | 58 | |
| 3 | 2004 | 56 | |
| 4 | 2006 | 48 | |
| 5 | 2005 | 41 | |
| 6 | 2006 | 37 | |
| 7 | 2006 | 23 | |
| 8 | 2004 | 23 | |
| 9 | 1993 | 22 | |
| 10 | 2019 | 18 | |
| 11 | 2020 | 16 | |
| 12 | 1997 | 16 | |
| 13 | 2003 | 14 | |
| 14 | 2006 | 14 | |
| 15 | Case-control association study of human netrin G1 gene in Japanese schizophrenia. | 2004 | 12 |
| 16 | 2018 | 10 | |
| 17 | 2013 | 9 | |
| 18 | 1999 | 9 | |
| 19 | 2011 | 9 | |
| 20 | 2007 | 9 |
About Mika Aoki
Mika Aoki is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Surgery and Genetics, having authored 38 papers that have together received 563 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (6 papers), Veterinary Oncology Research (4 papers), Mesenchymal stem cell research (3 papers), Receptor Mechanisms and Signaling (3 papers), Diabetes Treatment and Management (3 papers), Neuropeptides and Animal Physiology (3 papers), Virus-based gene therapy research (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Genetics (120 citations), Cancer Research (60 citations), Molecular Biology (270 citations), Biomaterials (40 citations) and Urology (19 citations). Mika Aoki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Toyoaki Murohara, Takahisa Kondo, Koichi S. Kobayashi, Kenji Okumura, Toyojiro Matsuishi, Kimiyasu Egami, Yasushi Numaguchi, Kimihiro Komori, Ping Li and Minoru Ueda. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, The Journal of Antibiotics, Stem Cells, Tetrahedron Letters and Bioorganic & Medicinal Chemistry Letters.
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.