Shinya Aoki
Impact in
-
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
-
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
Papers in
-
- Sphingolipid Metabolism and Signaling 6
- Lipid Membrane Structure and Behavior 3
- Protein Kinase Regulation and GTPase Signaling 2
-
- Lysosomal Storage Disorders Research 1
- Co-authors
- Yutaka Yatomi (4 shared papers)Makoto Osada (3 shared papers)Esteban C. Gabazza (3 shared papers)Yukio Ozaki (2 shared papers)Koji Suzuki (1 shared paper)Kaneo Satoh (1 shared paper)Hiroyuki Takeya (1 shared paper)Kazuhiko Nakahara (1 shared paper)
- Journals
- Blood (1 paper)Journal of Surgical Research (1 paper)The Journal of Biochemistry (1 paper)Clinical Biochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shinya Aoki
10 papers receiving 387 citations
Peers
Comparison fields: 5 of 65
- Cell Biology 96
- Hematology 46
- Molecular Biology 275
- Internal Medicine 13
- Physiology 88
Countries citing papers authored by Shinya Aoki
This map shows the geographic impact of Shinya Aoki'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 Shinya Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Aoki more than expected).
Fields of papers citing papers by Shinya Aoki
This network shows the impact of papers produced by Shinya Aoki. 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 Shinya Aoki. The network helps show where Shinya Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Shinya Aoki, 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 | 2005 | 77 | |
| 2 | 2005 | 70 | |
| 3 | 2006 | 51 | |
| 4 | 2003 | 49 | |
| 5 | 2010 | 39 | |
| 6 | 2012 | 36 | |
| 7 | 2014 | 34 | |
| 8 | 2007 | 19 | |
| 9 | 2012 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2020 | 0 |
About Shinya Aoki
Shinya Aoki is a scholar working on Molecular Biology, Physiology, Surgery, Pulmonary and Respiratory Medicine and Hematology, having authored 11 papers that have together received 392 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Platelet Disorders and Treatments (2 papers), Allergic Rhinitis and Sensitization (1 paper), Lysosomal Storage Disorders Research (1 paper) and Anesthesia and Pain Management (1 paper). The work is most often cited by research in Cell Biology (96 citations), Hematology (46 citations), Molecular Biology (275 citations), Internal Medicine (13 citations) and Physiology (88 citations). Shinya Aoki has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yutaka Yatomi, Makoto Osada, Esteban C. Gabazza, Yukio Ozaki, Koji Suzuki, Kaneo Satoh, Hiroyuki Takeya, Kazuhiko Nakahara, Hikaru Ueno and Masato Ohta. Their work appears in journals such as Blood, Journal of Surgical Research, The Journal of Biochemistry, Clinical Biochemistry and Biochemical and Biophysical Research Communications.
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.