Hiroyuki Mori
- Nephrology top 2%
- Physiology top 5%
- Adipose Tissue and Metabolism 16
- Diet and metabolism studies 2
- Epidemiology top 10%
- Adipokines, Inflammation, and Metabolic Diseases 7
- Genetics top 10%
- Mesenchymal stem cell research 3
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- Metabolism, Diabetes, and Cancer 6
- PI3K/AKT/mTOR signaling in cancer 2
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- Lipid metabolism and biosynthesis 3
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- Exercise and Physiological Responses 2
- Co-authors
- Ormond A. MacDougaldSebastian D. ParleeStephen I. LentzMasato KasugaYoshikazu TamoriJiro MasugiKun‐Liang GuanKen Inoki
- Journals
- Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Hiroyuki Mori
22 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Nephrology 251
- Physiology 610
- Orthopedics and Sports Medicine 119
- Epidemiology 407
- Genetics 118
Countries citing papers authored by Hiroyuki Mori
This map shows the geographic impact of Hiroyuki 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 Hiroyuki Mori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Mori more than expected).
Fields of papers citing papers by Hiroyuki Mori
This network shows the impact of papers produced by Hiroyuki 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 Hiroyuki Mori. The network helps show where Hiroyuki Mori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroyuki 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 8 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 43 | |
| 6 | 2022 | 66 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 14 | |
| 9 | 2019 | 23 | |
| 10 | 2018 | 82 | |
| 11 | 2017 | 31 | |
| 12 | 2016 | 38 | |
| 13 | 2015 | 119 | |
| 14 | 2014 | 309 | |
| 15 | 2011 | 5 | |
| 16 | mTORC1 activation in podocytes is a critical step in the development of diabetic nephropathy in micebreakdown → | 2011 | 438 |
| 17 | 2009 | 92 | |
| 18 | 2007 | 28 | |
| 19 | 2001 | 29 | |
| 20 | 2000 | 188 |
About Hiroyuki Mori
Hiroyuki Mori is a scholar working on Physiology, Biochemistry and Rehabilitation, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Mesenchymal stem cell research (3 papers), Lipid metabolism and biosynthesis (3 papers), Exercise and Physiological Responses (2 papers), Diet and metabolism studies (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Nephrology (251 citations), Physiology (610 citations) and Orthopedics and Sports Medicine (119 citations). Hiroyuki Mori has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Ormond A. MacDougald, Sebastian D. Parlee, Stephen I. Lentz, Masato Kasuga, Yoshikazu Tamori, Jiro Masugi, Kun‐Liang Guan, Ken Inoki, David J. Kwiatkowski and Tsuneo Ikenoue. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.
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.