Hiroyuki Motoshima
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 0.5%
- Metabolism, Diabetes, and Cancer 20
- Protein Structure and Dynamics 12
- Peroxisome Proliferator-Activated Receptors 10
- Physiology top 1%
- Adipose Tissue and Metabolism 22
- Physiology top 1%
- Adipose Tissue and Metabolism 22
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- Adipokines, Inflammation, and Metabolic Diseases 15
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- Enzyme Structure and Function 15
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- Pancreatic function and diabetes 15
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- Diabetes Treatment and Management 10
- Co-authors
- Barry J. GoldsteinTakashi KumasakaRonald E. StenkampKrzysztof PalczewskiCraig A. BehnkeTetsuya HoriDavid C. TellerTetsuji Okada
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hiroyuki Motoshima
94 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cellular and Molecular Neuroscience 2.9k
- Molecular Biology 6.5k
- Endocrine and Autonomic Systems 542
- Physiology 1.7k
- Physiology 245
Countries citing papers authored by Hiroyuki Motoshima
This map shows the geographic impact of Hiroyuki Motoshima'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 Motoshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroyuki Motoshima more than expected).
Fields of papers citing papers by Hiroyuki Motoshima
This network shows the impact of papers produced by Hiroyuki Motoshima. 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 Motoshima. The network helps show where Hiroyuki Motoshima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroyuki Motoshima, 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 | 2023 | 0 | |
| 3 | 2020 | 20 | |
| 4 | 2019 | 4 | |
| 5 | 2016 | 10 | |
| 6 | 2014 | 22 | |
| 7 | Cloning, expression and purification of cold adapted acetate kinase from Shewanella species AS-11 | 2012 | 1 |
| 8 | 2012 | 37 | |
| 9 | 2010 | 9 | |
| 10 | 2008 | 58 | |
| 11 | 2008 | 8 | |
| 12 | 2007 | 36 | |
| 13 | 2007 | 73 | |
| 14 | 2005 | 29 | |
| 15 | 2003 | 44 | |
| 16 | 2002 | 19 | |
| 17 | 2001 | 15 | |
| 18 | Crystal Structure of Rhodopsin: A G Protein-Coupled Receptorbreakdown → | 2000 | 4567 |
| 19 | 2000 | 51 | |
| 20 | 2000 | 44 |
About Hiroyuki Motoshima
Hiroyuki Motoshima is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Physiology, having authored 97 papers that have together received 9.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (22 papers), Metabolism, Diabetes, and Cancer (20 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Enzyme Structure and Function (15 papers), Pancreatic function and diabetes (15 papers), Protein Structure and Dynamics (12 papers), Peroxisome Proliferator-Activated Receptors (10 papers) and Diabetes Treatment and Management (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Molecular Biology (6.5k citations) and Endocrine and Autonomic Systems (542 citations). Hiroyuki Motoshima has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Barry J. Goldstein, Takashi Kumasaka, Ronald E. Stenkamp, Krzysztof Palczewski, Craig A. Behnke, Tetsuya Hori, David C. Teller, Tetsuji Okada, Brian A. Fox and Masaki Yamamoto. Their work appears in journals such as Science, Journal of Biological Chemistry 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.