Yuko Hirota
Impact in
- Epidemiology top 5%
- Autophagy in Disease and Therapy
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
- Epidemiology 14
- Autophagy in Disease and Therapy 11
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- Mitochondrial Function and Pathology 3
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Tomotake Kanki (7 shared papers)Dongchon Kang (6 shared papers)Tetsu Saigusa (5 shared papers)Yusuke Kurihara (5 shared papers)Yoshimasa Aoki (5 shared papers)Takeshi Uchiumi (4 shared papers)Yoshitaka Tanaka (6 shared papers)M. Aihara (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (8 papers)Molecular Pharmacology (2 papers)Breast Cancer (2 papers)Journal of Biological Chemistry (2 papers)Drug Metabolism and Disposition (1 paper)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Yuko Hirota
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Epidemiology 729
- Cell Biology 348
- Physiology 97
- Virology 74
- Aging 28
Countries citing papers authored by Yuko Hirota
This map shows the geographic impact of Yuko Hirota'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 Hirota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Hirota more than expected).
Fields of papers citing papers by Yuko Hirota
This network shows the impact of papers produced by Yuko Hirota. 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 Hirota. The network helps show where Yuko Hirota may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Hirota, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 226 | |
| 2 | 2011 | 178 | |
| 3 | 2015 | 173 | |
| 4 | 2009 | 121 | |
| 5 | 2013 | 120 | |
| 6 | 2009 | 88 | |
| 7 | 2013 | 49 | |
| 8 | 2014 | 46 | |
| 9 | 2008 | 43 | |
| 10 | 2012 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2007 | 39 | |
| 13 | 2005 | 21 | |
| 14 | 2004 | 19 | |
| 15 | 2004 | 18 | |
| 16 | 2016 | 18 | |
| 17 | 2019 | 17 | |
| 18 | 2010 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2003 | 14 |
About Yuko Hirota
Yuko Hirota is a scholar working on Epidemiology, Molecular Biology, Cell Biology, Physiology and Physiology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Cellular transport and secretion (8 papers), Calcium signaling and nucleotide metabolism (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Lysosomal Storage Disorders Research (4 papers), Mitochondrial Function and Pathology (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Epidemiology (729 citations), Cell Biology (348 citations), Physiology (97 citations), Virology (74 citations) and Aging (28 citations). Yuko Hirota has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Tomotake Kanki, Dongchon Kang, Tetsu Saigusa, Yusuke Kurihara, Yoshimasa Aoki, Takeshi Uchiumi, Yoshitaka Tanaka, M. Aihara, Yoshitaka Tanaka and Hideaki Fujita. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Pharmacology, Breast Cancer, Journal of Biological Chemistry and Drug Metabolism and Disposition.
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.