Yosuke Mori
Impact in
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- Neuropeptides and Animal Physiology
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in
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- Receptor Mechanisms and Signaling 9
- Pharmacological Receptor Mechanisms and Effects 2
- Protein Kinase Regulation and GTPase Signaling 2
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- Neuropeptides and Animal Physiology 9
- Co-authors
- Toshio Nishikimi (12 shared papers)Hiroaki Matsuoka (10 shared papers)Kazuyoshi Tadokoro (10 shared papers)Kazumi Akimoto (8 shared papers)Kenji Kangawa (7 shared papers)Fumiki Yoshihara (6 shared papers)Xin Wang (3 shared papers)Naohiko Kobayashi (3 shared papers)
- Journals
- Hypertension (4 papers)Journal of Hypertension (2 papers)Regulatory Peptides (2 papers)Journal of Cardiac Failure (1 paper)Population Ecology (1 paper)
- Partner nations
- JapanUnited StatesBrunei
In The Last Decade
Yosuke Mori
19 papers receiving 444 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 200
- Nephrology 50
- Cardiology and Cardiovascular Medicine 136
- Endocrinology, Diabetes and Metabolism 95
- Molecular Biology 247
Countries citing papers authored by Yosuke Mori
This map shows the geographic impact of Yosuke Mori'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 Yosuke Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yosuke Mori more than expected).
Fields of papers citing papers by Yosuke Mori
This network shows the impact of papers produced by Yosuke Mori. 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 Yosuke Mori. The network helps show where Yosuke Mori may publish in the future.
Co-authors
The 25 scholars most cited alongside Yosuke Mori, 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 | 2004 | 84 | |
| 2 | 2002 | 63 | |
| 3 | 2003 | 51 | |
| 4 | 2003 | 43 | |
| 5 | 2003 | 33 | |
| 6 | 2003 | 32 | |
| 7 | 2004 | 28 | |
| 8 | 2002 | 26 | |
| 9 | 2003 | 22 | |
| 10 | 2008 | 17 | |
| 11 | 2002 | 15 | |
| 12 | 2011 | 14 | |
| 13 | 2004 | 11 | |
| 14 | 2014 | 4 | |
| 15 | 2004 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2000 | 1 | |
| 20 | 1996 | 0 |
About Yosuke Mori
Yosuke Mori is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Social Psychology, having authored 20 papers that have together received 456 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (9 papers), Hormonal Regulation and Hypertension (2 papers), Neuroendocrine regulation and behavior (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Horticultural and Viticultural Research (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (200 citations), Nephrology (50 citations), Cardiology and Cardiovascular Medicine (136 citations), Endocrinology, Diabetes and Metabolism (95 citations) and Molecular Biology (247 citations). Yosuke Mori has collaborated with scholars based in Japan, United States and Brunei. Frequent co-authors include Toshio Nishikimi, Hiroaki Matsuoka, Kazuyoshi Tadokoro, Kazumi Akimoto, Kenji Kangawa, Fumiki Yoshihara, Xin Wang, Naohiko Kobayashi, Naoto Minamino and Hidehiko Ono. Their work appears in journals such as Hypertension, Journal of Hypertension, Regulatory Peptides, Journal of Cardiac Failure and Population Ecology.
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.