Yuko Kitamura
Impact in
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- Phytochemicals and Antioxidant Activities
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- Hormonal and reproductive studies
Papers in
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- Sphingolipid Metabolism and Signaling 3
- Co-authors
- Ikuyo Ichi (6 shared papers)Shosuke Kojo (6 shared papers)Yuji Miyata (2 shared papers)Toshiro Matsui (2 shared papers)Takashi Tanaka (2 shared papers)Ju Qiu (2 shared papers)Kazunari Tanaka (2 shared papers)Tatsuya Matsura (3 shared papers)
- Journals
- Scientific Reports (2 papers)Toxicology (1 paper)European Journal of Endocrinology (1 paper)Journal of Cardiovascular Pharmacology (1 paper)Journal of Apicultural Research (1 paper)
- Partner nations
- JapanEgyptBangladesh
In The Last Decade
Yuko Kitamura
34 papers receiving 329 citations
Peers
Comparison fields: 5 of 85
- Biochemistry 28
- Endocrinology, Diabetes and Metabolism 49
- Pharmacology 23
- Pathology and Forensic Medicine 47
- Biochemistry 17
Countries citing papers authored by Yuko Kitamura
This map shows the geographic impact of Yuko Kitamura'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 Yuko Kitamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Kitamura more than expected).
Fields of papers citing papers by Yuko Kitamura
This network shows the impact of papers produced by Yuko Kitamura. 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 Yuko Kitamura. The network helps show where Yuko Kitamura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Kitamura, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 40 | |
| 2 | 2012 | 30 | |
| 3 | 2013 | 29 | |
| 4 | 2021 | 28 | |
| 5 | 2008 | 26 | |
| 6 | 2008 | 26 | |
| 7 | 1996 | 17 | |
| 8 | 2010 | 15 | |
| 9 | 1981 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 1996 | 11 | |
| 12 | 2010 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 1996 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2005 | 5 | |
| 17 | 2010 | 5 | |
| 18 | 1994 | 5 | |
| 19 | 2010 | 5 | |
| 20 | 2021 | 4 |
About Yuko Kitamura
Yuko Kitamura is a scholar working on Molecular Biology, Epidemiology, Ecology, Evolution, Behavior and Systematics, Genetics and Infectious Diseases, having authored 36 papers that have together received 337 indexed citations. Recurring topics across this work include Insect and Pesticide Research (4 papers), Animal Virus Infections Studies (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Plant and animal studies (3 papers), T-cell and Retrovirus Studies (3 papers), Liver Disease and Transplantation (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Biochemistry (28 citations), Endocrinology, Diabetes and Metabolism (49 citations), Pharmacology (23 citations), Pathology and Forensic Medicine (47 citations) and Biochemistry (17 citations). Yuko Kitamura has collaborated with scholars based in Japan, Egypt and Bangladesh. Frequent co-authors include Ikuyo Ichi, Shosuke Kojo, Yuji Miyata, Toshiro Matsui, Takashi Tanaka, Ju Qiu, Kazunari Tanaka, Tatsuya Matsura, Yasuo Inoshima and Yuji O. Kamatari. Their work appears in journals such as Scientific Reports, Toxicology, European Journal of Endocrinology, Journal of Cardiovascular Pharmacology and Journal of Apicultural Research.
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.