Daisuke Kukidome

2.7k citations
30 papers · 2.2k indexed · h-index 21

Impact in

Papers in

Daisuke Kukidome

30 papers receiving 2.2k citations

Peers

Daisuke Kukidome
Comparison fields: 5 of 111
  • Clinical Biochemistry 287
  • Physiology 570
  • Endocrinology, Diabetes and Metabolism 364
  • Geriatrics and Gerontology 77
  • Biochemistry 116
Replace Kazuhiro Sonoda with:
Kazuhiro Sonoda Japan
Stephan Schiekofer Germany
Manuela Bartoli United States
M. Rosca United States
Yoshihisa Nakatani Japan
Shunji Hayashidani Japan
Dominique Détaille France
Aleksandr E. Vendrov United States
Noelia Díaz‐Morales Spain
Yusaku Mori Japan
Daisuke Kukidome relative to Kazuhiro Sonoda Japan Kazuhiro Sonoda's profile →
Citations per field
00.5×1.5×1.8×
Kazuhiro Sonoda · 1×
Citations per year

Countries citing papers authored by Daisuke Kukidome

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daisuke Kukidome Line = papers co-authored together Daisuke Kukidome links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202020
2 201727
3 201662
4 20162
5 201686
6 201528
7 201422
8 201327
9 20109
10 200874
11 200736
12 200773
13 200797
14 2007191
15 200613
16 2006439
17 200464
18 200474
19 200414
20 2003299

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.

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