Daisuke Kukidome
Impact in
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
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- Advanced Glycation End Products research 5
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 4
- Co-authors
- Eiichi ArakiTakeshi MatsumuraTakeshi NishikawaKazuhiro SonodaHiroyuki MotoshimaMiyuki YanoKazuo FujisawaTetsuya Taguchi
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Journal of Diabetes Investigation (3 papers)Diabetes (3 papers)Diabetes Research and Clinical Practice (3 papers)Atherosclerosis (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Daisuke Kukidome
30 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Clinical Biochemistry 287
- Physiology 570
- Endocrinology, Diabetes and Metabolism 364
- Geriatrics and Gerontology 77
- Biochemistry 116
Countries citing papers authored by Daisuke Kukidome
This map shows the geographic impact of Daisuke Kukidome'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 Daisuke Kukidome with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kukidome more than expected).
Fields of papers citing papers by Daisuke Kukidome
This network shows the impact of papers produced by Daisuke Kukidome. 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 Daisuke Kukidome. The network helps show where Daisuke Kukidome may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kukidome, 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 | 2020 | 20 | |
| 2 | 2017 | 27 | |
| 3 | 2016 | 62 | |
| 4 | 2016 | 2 | |
| 5 | 2016 | 86 | |
| 6 | 2015 | 28 | |
| 7 | 2014 | 22 | |
| 8 | 2013 | 27 | |
| 9 | 2010 | 9 | |
| 10 | 2008 | 74 | |
| 11 | 2007 | 36 | |
| 12 | 2007 | 73 | |
| 13 | 2007 | 97 | |
| 14 | 2007 | 191 | |
| 15 | 2006 | 13 | |
| 16 | 2006 | 439 | |
| 17 | 2004 | 64 | |
| 18 | 2004 | 74 | |
| 19 | 2004 | 14 | |
| 20 | 2003 | 299 |
About Daisuke Kukidome
Daisuke Kukidome is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Cancer Research, Ophthalmology and Physiology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Advanced Glycation End Products research (5 papers), Mitochondrial Function and Pathology (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (287 citations), Physiology (570 citations), Endocrinology, Diabetes and Metabolism (364 citations), Geriatrics and Gerontology (77 citations) and Biochemistry (116 citations). Daisuke Kukidome has collaborated with scholars based in Japan and United States. Frequent co-authors include Eiichi Araki, Takeshi Matsumura, Takeshi Nishikawa, Kazuhiro Sonoda, Hiroyuki Motoshima, Miyuki Yano, Kazuo Fujisawa, Tetsuya Taguchi, Tomoko Matsuo and Shinsuke Kiritoshi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Diabetes Investigation, Diabetes, Diabetes Research and Clinical Practice and Atherosclerosis.
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.