Daisuke Tsukui

582 citations
20 papers · 367 · 1 hit paper · h-index 7

Impact in

Papers in

Daisuke Tsukui

17 papers receiving 359 citations

Daisuke Tsukui's Hit Papers

Uric Acid in Inflammation and the Pathogenesis of Atherosclerosis 2021 · 180 citations
1800+1+3Years since publication50100150

Peers

Daisuke Tsukui
Comparison fields: 5 of 81
  • Nephrology 192
  • Pathology and Forensic Medicine 74
  • Rheumatology 51
  • Internal Medicine 10
  • Epidemiology 88
Replace Panagiotis Giamalis with:
Panagiotis Giamalis Greece
Karin Shimada Japan
Miyuki Yokoyama Japan
Hakkı Yılmaz Türkiye
Kaan Okyay Türkiye
Tianjun Guan China
Giuseppe Palmiero Italy
Tiziana Spatola Italy
Hironori Miyahara Japan
Daisuke Tsukui relative to Panagiotis Giamalis Greece Panagiotis Giamalis's profile →
Citations per field
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Panagiotis Giamalis · 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
#Work
1
Uric Acid in Inflammation and the Pathogenesis of Atherosclerosis
Hit paper breakdown →
2021180
2 2020107
3 200813
4 20179
5 20207
6 20117
7 20217
8 20216
9 20206
10 20185
11 20225
12 20204
13 20223
14 20203
15 20223
16 20231
17 20081
18 20240
19 20210
20 20180

About Daisuke Tsukui

Daisuke Tsukui is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Molecular Biology and Nephrology, having authored 20 papers that have together received 367 indexed citations. Recurring topics across this work include Vasculitis and related conditions (5 papers), Acute Ischemic Stroke Management (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Inflammasome and immune disorders (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Immune Cell Function and Interaction (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and Esophageal and GI Pathology (2 papers). The work is most often cited by research in Nephrology (192 citations), Pathology and Forensic Medicine (74 citations), Rheumatology (51 citations), Internal Medicine (10 citations) and Epidemiology (88 citations). Daisuke Tsukui has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hajime Kono, Yoshitaka Kimura, Makoto Hosoyamada, Akiko Onda, Tamiko Yanagida, Koichi Hirata, Keisuke Suzuki, Hirotaka Sato, Hiroaki Fujita and Yoshiaki Kiyanagi. Their work appears in journals such as Mayo Clinic Proceedings, Gastrointestinal Endoscopy, iScience, Pediatric Rheumatology and Medicine.

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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