Shiori Sekine
- Clinical Biochemistry top 5%
- Epidemiology top 5%
- Autophagy in Disease and Therapy 9
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 15
- ATP Synthase and ATPases Research 6
- RNA Research and Splicing 3
- RNA regulation and disease 2
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments 2
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease 4
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Richard J. YouleChunxin WangHidenori IchijoSarah PicklesCatherine L. NezichJohn A. HammerZhe ZhangJonathon L. Burman
- Journals
- Molecular Cell (3 papers)Journal of Biological Chemistry (3 papers)The Journal of Biochemistry (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Shiori Sekine
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Clinical Biochemistry 138
- Epidemiology 569
- Molecular Biology 957
- Neurology 194
- Cell Biology 171
Countries citing papers authored by Shiori Sekine
This map shows the geographic impact of Shiori Sekine'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 Shiori Sekine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiori Sekine more than expected).
Fields of papers citing papers by Shiori Sekine
This network shows the impact of papers produced by Shiori Sekine. 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 Shiori Sekine. The network helps show where Shiori Sekine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shiori Sekine, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 40 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 51 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 121 | |
| 13 | 2018 | 237 | |
| 14 | 2017 | 2 | |
| 15 | 2016 | 6 | |
| 16 | 2016 | 25 | |
| 17 | 2015 | 39 | |
| 18 | 2014 | 27 | |
| 19 | 2012 | 142 | |
| 20 | 2012 | 46 |
About Shiori Sekine
Shiori Sekine is a scholar working on Cell Biology, Molecular Biology and Cancer Research, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (15 papers), Autophagy in Disease and Therapy (9 papers), ATP Synthase and ATPases Research (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), RNA Research and Splicing (3 papers), RNA regulation and disease (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (138 citations), Epidemiology (569 citations) and Molecular Biology (957 citations). Shiori Sekine has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Richard J. Youle, Chunxin Wang, Hidenori Ichijo, Sarah Pickles, Catherine L. Nezich, John A. Hammer, Zhe Zhang, Jonathon L. Burman, Jose Norberto S. Vargas and Xufeng Wu. Their work appears in journals such as Molecular Cell, Journal of Biological Chemistry, The Journal of Biochemistry, The Journal of Cell Biology and Journal of the American Society for Mass Spectrometry.
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.