Yoshimi Kawamura
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms 3
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis 14
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 6
- Wnt/β-catenin signaling in development and cancer 4
- Pluripotent Stem Cells Research 3
- Biotechnology top 5%
- Organic Chemistry top 10%
- Synthetic Organic Chemistry Methods 3
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- Bioactive Compounds and Antitumor Agents 3
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- Computational Drug Discovery Methods 3
- Co-authors
- Takeshi YagiKoichí MatsumotoRyosuke KanekoYoshihiro TeruiTakahiro HirabayashiHiroshi NakaiTeruyoshi HirayamaYukio Yasuda
- Cited by
- AgingPharmacologyMolecular Biology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Yoshimi Kawamura
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Aging 31
- Pharmacology 288
- Molecular Biology 798
- Biotechnology 100
- Organic Chemistry 306
Countries citing papers authored by Yoshimi Kawamura
This map shows the geographic impact of Yoshimi Kawamura'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 Yoshimi Kawamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshimi Kawamura more than expected).
Fields of papers citing papers by Yoshimi Kawamura
This network shows the impact of papers produced by Yoshimi Kawamura. 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 Yoshimi Kawamura. The network helps show where Yoshimi Kawamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoshimi Kawamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 22 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 10 | |
| 8 | 2019 | 11 | |
| 9 | 2012 | 11 | |
| 10 | 2011 | 64 | |
| 11 | 2009 | 35 | |
| 12 | 2006 | 146 | |
| 13 | 2006 | 18 | |
| 14 | 2005 | 15 | |
| 15 | 2002 | 63 | |
| 16 | 2001 | 31 | |
| 17 | 1992 | 44 | |
| 18 | 1990 | 157 | |
| 19 | 1989 | 21 | |
| 20 | 1988 | 12 |
About Yoshimi Kawamura
Yoshimi Kawamura is a scholar working on Aging, Microbiology and Toxicology, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (14 papers), Mitochondrial Function and Pathology (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Pluripotent Stem Cells Research (3 papers), Computational Drug Discovery Methods (3 papers) and Synthetic Organic Chemistry Methods (3 papers). The work is most often cited by research in Aging (31 citations), Pharmacology (288 citations) and Molecular Biology (798 citations). Yoshimi Kawamura has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Takeshi Yagi, Koichí Matsumoto, Ryosuke Kaneko, Yoshihiro Terui, Takahiro Hirabayashi, Hiroshi Nakai, Teruyoshi Hirayama, Yukio Yasuda, K. Nagashima and Hiroshi Itazaki. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.
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.