Shingo Kajimura
Impact in
- Physiology top 0.02%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
- Rehabilitation top 0.02%
- Exercise and Physiological Responses
Papers in
- Physiology 104
- Adipose Tissue and Metabolism 102
-
- Exercise and Physiological Responses 23
- Co-authors
- Bruce M. Spiegelman (18 shared papers)Patrick Seale (6 shared papers)Kosaku Shinoda (19 shared papers)Gygi Steven P. (7 shared papers)Paul Cohen (5 shared papers)Saverio Cinti (5 shared papers)Labros S. Sidossis (3 shared papers)Mark P. Jedrychowski (7 shared papers)
- Journals
- Cell Metabolism (16 papers)Nature (13 papers)Nature Communications (10 papers)General and Comparative Endocrinology (7 papers)Nature Metabolism (6 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Shingo Kajimura
135 papers receiving 30.2k citations
Shingo Kajimura's Hit Papers
Peers
Comparison fields: 5 of 174
- Physiology 17.4k
- Rehabilitation 3.1k
- Epidemiology 11.9k
- Biochemistry 2.2k
- Geriatrics and Gerontology 966
Countries citing papers authored by Shingo Kajimura
This map shows the geographic impact of Shingo Kajimura'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 Shingo Kajimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shingo Kajimura more than expected).
Fields of papers citing papers by Shingo Kajimura
This network shows the impact of papers produced by Shingo Kajimura. 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 Shingo Kajimura. The network helps show where Shingo Kajimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Shingo Kajimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 2 | A PGC1-α-dependent myokine that drives brown-fat-like development of white fat and thermogenesis Hit paper breakdown → | 2012 | 4043 |
| 3 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 4 | PRDM16 controls a brown fat/skeletal muscle switch Hit paper breakdown → | 2008 | 1931 |
| 5 | Prdm16 determines the thermogenic program of subcutaneous white adipose tissue in mice Hit paper breakdown → | 2010 | 1066 |
| 6 | Transcriptional Control of Brown Fat Determination by PRDM16 Hit paper breakdown → | 2007 | 992 |
| 7 | Brown and Beige Fat: Physiological Roles beyond Heat Generation Hit paper breakdown → | 2015 | 799 |
| 8 | Anti-diabetic drugs inhibit obesity-linked phosphorylation of PPARγ by Cdk5 Hit paper breakdown → | 2010 | 758 |
| 9 | Ablation of PRDM16 and Beige Adipose Causes Metabolic Dysfunction and a Subcutaneous to Visceral Fat Switch Hit paper breakdown → | 2014 | 733 |
| 10 | PPARγ agonists Induce a White-to-Brown Fat Conversion through Stabilization of PRDM16 Protein Hit paper breakdown → | 2012 | 665 |
| 11 | A Creatine-Driven Substrate Cycle Enhances Energy Expenditure and Thermogenesis in Beige Fat Hit paper breakdown → | 2015 | 644 |
| 12 | Initiation of myoblast to brown fat switch by a PRDM16–C/EBP-β transcriptional complex Hit paper breakdown → | 2009 | 616 |
| 13 | Brown and beige fat in humans: thermogenic adipocytes that control energy and glucose homeostasis Hit paper breakdown → | 2015 | 566 |
| 14 | Human BAT Possesses Molecular Signatures That Resemble Beige/Brite Cells Hit paper breakdown → | 2012 | 556 |
| 15 | UCP1-independent signaling involving SERCA2b-mediated calcium cycling regulates beige fat thermogenesis and systemic glucose homeostasis Hit paper breakdown → | 2017 | 510 |
| 16 | The Common and Distinct Features of Brown and Beige Adipocytes Hit paper breakdown → | 2018 | 441 |
| 17 | Accumulation of succinate controls activation of adipose tissue thermogenesis Hit paper breakdown → | 2018 | 434 |
| 18 | 2016 | 433 | |
| 19 | BCAA catabolism in brown fat controls energy homeostasis through SLC25A44 Hit paper breakdown → | 2019 | 431 |
| 20 | The cellular and functional complexity of thermogenic fat Hit paper breakdown → | 2021 | 387 |
About Shingo Kajimura
Shingo Kajimura is a scholar working on Physiology, Rehabilitation, Biochemistry, Epidemiology and Cell Biology, having authored 140 papers that have together received 30.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (102 papers), Adipokines, Inflammation, and Metabolic Diseases (34 papers), Lipid metabolism and biosynthesis (23 papers), Exercise and Physiological Responses (23 papers), Muscle metabolism and nutrition (17 papers), Cardiovascular Disease and Adiposity (13 papers), Mitochondrial Function and Pathology (13 papers) and Cancer, Hypoxia, and Metabolism (11 papers). The work is most often cited by research in Physiology (17.4k citations), Rehabilitation (3.1k citations), Epidemiology (11.9k citations), Biochemistry (2.2k citations) and Geriatrics and Gerontology (966 citations). Shingo Kajimura has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Bruce M. Spiegelman, Patrick Seale, Kosaku Shinoda, Gygi Steven P., Paul Cohen, Saverio Cinti, Labros S. Sidossis, Mark P. Jedrychowski, Pontus Boström and Jang Hyun Choi. Their work appears in journals such as Cell Metabolism, Nature, Nature Communications, General and Comparative Endocrinology and Nature Metabolism.
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.