Yukiko Naito
- Physiology top 5%
- Nitric Oxide and Endothelin Effects 5
- Diet and metabolism studies 4
- Adenosine and Purinergic Signaling 4
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 4
- Nutrition and Dietetics top 10%
- Fatty Acid Research and Health 12
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology 6
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology 6
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- Cholesterol and Lipid Metabolism 7
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- Renin-Angiotensin System Studies 3
- Journals
- The Journal of Immunology (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yukiko Naito
58 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 119
- Physiology 101
- Cancer Research 180
- Nutrition and Dietetics 155
- Biochemistry 50
- Biochemistry 53
Countries citing papers authored by Yukiko Naito
This map shows the geographic impact of Yukiko Naito'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 Yukiko Naito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Naito more than expected).
Fields of papers citing papers by Yukiko Naito
This network shows the impact of papers produced by Yukiko Naito. 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 Yukiko Naito. The network helps show where Yukiko Naito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yukiko Naito, 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 | 2023 | 0 | |
| 2 | 2020 | 13 | |
| 3 | 2015 | 18 | |
| 4 | 2013 | 27 | |
| 5 | 2011 | 62 | |
| 6 | 2009 | 8 | |
| 7 | 2008 | 33 | |
| 8 | 2008 | 14 | |
| 9 | 2008 | 12 | |
| 10 | 2007 | 14 | |
| 11 | 2007 | 10 | |
| 12 | 2006 | 0 | |
| 13 | Chemopreventive effect of a probiotic preparation on the development of preneoplastic and neoplastic colonic lesions: an experimental study. | 2003 | 30 |
| 14 | 2000 | 9 | |
| 15 | 2000 | 24 | |
| 16 | 2000 | 21 | |
| 17 | 1998 | 19 | |
| 18 | 1998 | 5 | |
| 19 | 1998 | 3 | |
| 20 | 1987 | 55 |
About Yukiko Naito
Yukiko Naito is a scholar working on Biochemistry, Nutrition and Dietetics and Physiology, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (12 papers), Cholesterol and Lipid Metabolism (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Diet and metabolism studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Adenosine and Purinergic Signaling (4 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Physiology (101 citations), Cancer Research (180 citations) and Nutrition and Dietetics (155 citations). Yukiko Naito has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Naoki Ohara, Masashi Naito, Naoharu Iwai, Huachun Weng, John DiGiovanni, Xu Ji, Kosuke Endo, Xiao Ma, Tomoko Nagata and Go Hirokawa. Their work appears in journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute and Annals of the New York Academy of Sciences.
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.