Daisuke Tsukui

18 papers receiving 429 citations

Daisuke Tsukui's Hit Papers

Uric Acid in Inflammation and the Pathogenesis of Atherosclerosis 2021 · 216 citations
2160+1+3Years since publication50100150200

Peers

Daisuke Tsukui
Comparison fields: 5 of 76
  • Nephrology 219
  • Rheumatology 41
  • Pathology and Forensic Medicine 40
  • Pulmonary and Respiratory Medicine 54
  • Epidemiology 52
Replace Ho Cheol Song with:
Ho Cheol Song South Korea
Koji Takaori Japan
Scott Morris United Kingdom
Wenxiu Chang China
Saima Chohan United States
Masaaki Izumi Japan
Minjie Zhou China
Gianluca Fasoli Italy
Jiaxing Tan China
Daisuke Tsukui relative to Ho Cheol Song South Korea Ho Cheol Song's profile →
Citations per field
00.5×2×4×6×7.7×
Ho Cheol Song · 1×
Citations per year

Countries citing papers authored by Daisuke Tsukui

Since Specialization
Citations

This map shows the geographic impact of Daisuke Tsukui'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 Tsukui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Tsukui more than expected).

Fields of papers citing papers by Daisuke Tsukui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisuke Tsukui. 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 Tsukui. The network helps show where Daisuke Tsukui may publish in the future.

Co-authors

The 25 scholars most cited alongside Daisuke Tsukui, 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 Tsukui Line = papers co-authored together Daisuke Tsukui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Uric Acid in Inflammation and the Pathogenesis of Atherosclerosis
Hit paper breakdown →
2021216
2 2020125
3 200814
4 201713
5 20179
6 20218
7 20217
8 20207
9 20117
10 20206
11 20226
12 20185
13 20204
14 20234
15 20224
16 20203
17 20223
18 20081
19 20240
20 20180

About Daisuke Tsukui

Daisuke Tsukui is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Immunology, Rheumatology and Neurology, having authored 21 papers that have together received 442 indexed citations. Recurring topics across this work include Vasculitis and related conditions (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Inflammasome and immune disorders (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Acute Ischemic Stroke Management (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Esophageal and GI Pathology (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Nephrology (219 citations), Rheumatology (41 citations), Pathology and Forensic Medicine (40 citations), Pulmonary and Respiratory Medicine (54 citations) and Epidemiology (52 citations). Daisuke Tsukui has collaborated with scholars based in Japan. Frequent co-authors include Hajime Kono, Yoshitaka Kimura, Makoto Hosoyamada, Akiko Onda, Tamiko Yanagida, Keisuke Suzuki, Koichi Hirata, Shunsei Hirohata, Hidehiro Takekawa and Keisuke Suzuki. Their work appears in journals such as Mayo Clinic Proceedings, Gastrointestinal Endoscopy, Modern Rheumatology, International Journal of Molecular Sciences and Arteriosclerosis Thrombosis and Vascular Biology.

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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