Maiko Kimura
Impact in
- Organic Chemistry top 10%
- Click Chemistry and Applications
- Carbohydrate Chemistry and Synthesis
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- Chemical Synthesis and Analysis
- PI3K/AKT/mTOR signaling in cancer
Papers in
- Oncology 8
- Cancer Treatment and Pharmacology 2
- Peptidase Inhibition and Analysis 2
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- Chemical Synthesis and Analysis 3
- PI3K/AKT/mTOR signaling in cancer 3
- Co-authors
- Yoshiaki Kiso (5 shared papers)Yoshio Hayashi (5 shared papers)Tooru Kimura (5 shared papers)Youhei Sohma (5 shared papers)Atsuhiko Taniguchi (3 shared papers)Akishi Ooi (3 shared papers)Yoh Dobashi (3 shared papers)Hirochika Matsubara (3 shared papers)
- Journals
- Transfusion (4 papers)Intestinal Research (2 papers)Human Pathology (2 papers)Bioorganic & Medicinal Chemistry Letters (1 paper)Blood (1 paper)
- Partner nations
- Japan
In The Last Decade
Maiko Kimura
27 papers receiving 603 citations
Peers
Comparison fields: 5 of 69
- Organic Chemistry 154
- Molecular Biology 321
- Biomaterials 63
- Genetics 101
- Oncology 90
Countries citing papers authored by Maiko Kimura
This map shows the geographic impact of Maiko Kimura'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 Maiko Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maiko Kimura more than expected).
Fields of papers citing papers by Maiko Kimura
This network shows the impact of papers produced by Maiko Kimura. 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 Maiko Kimura. The network helps show where Maiko Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Maiko Kimura, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 95 | |
| 2 | 2005 | 85 | |
| 3 | 2017 | 62 | |
| 4 | 2008 | 45 | |
| 5 | 2010 | 42 | |
| 6 | 2015 | 40 | |
| 7 | 2005 | 38 | |
| 8 | 2005 | 34 | |
| 9 | 2003 | 32 | |
| 10 | 2012 | 26 | |
| 11 | 2012 | 24 | |
| 12 | 2016 | 16 | |
| 13 | 2016 | 15 | |
| 14 | 2024 | 13 | |
| 15 | 2021 | 10 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2012 | 4 |
About Maiko Kimura
Maiko Kimura is a scholar working on Oncology, Molecular Biology, Hematology, Surgery and Genetics, having authored 28 papers that have together received 611 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Chemical Synthesis and Analysis (3 papers), Inflammatory Bowel Disease (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Alzheimer's disease research and treatments (2 papers), Cancer Treatment and Pharmacology (2 papers), Peptidase Inhibition and Analysis (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Organic Chemistry (154 citations), Molecular Biology (321 citations), Biomaterials (63 citations), Genetics (101 citations) and Oncology (90 citations). Maiko Kimura has collaborated with scholars based in Japan. Frequent co-authors include Yoshiaki Kiso, Yoshio Hayashi, Tooru Kimura, Youhei Sohma, Atsuhiko Taniguchi, Akishi Ooi, Yoh Dobashi, Hirochika Matsubara, Katsuyoshi Matsuoka and Toshimitsu Fujii. Their work appears in journals such as Transfusion, Intestinal Research, Human Pathology, Bioorganic & Medicinal Chemistry Letters and Blood.
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.