Keiko Ueda

58 papers receiving 1.3k citations

Keiko Ueda's Hit Papers

Safety and efficacy of rituximab in systemic sclerosis (DESIRES): a double-blind, investigator-initiated, randomised, placebo-controlled trial 2021 · 151 citations
1510+1+3Years since publication50100150

Peers

Keiko Ueda
Comparison fields: 5 of 101
  • Clinical Biochemistry 305
  • Pathology and Forensic Medicine 269
  • Endocrine and Autonomic Systems 69
  • Cardiology and Cardiovascular Medicine 196
  • Complementary and alternative medicine 54
Replace Neil Dalton with:
Neil Dalton United Kingdom
Juan J. Chillarón Spain
Ludovico Coppola Italy
Takuhito Shoji Japan
L. S. Eriksson Sweden
M. P. Brand United Kingdom
Pauling Chu Taiwan
Alev Hasanoğlu Türkiye
Özlem Gülbahar Türkiye
Robert W. Schrier United States
Keiko Ueda relative to Neil Dalton United Kingdom Neil Dalton's profile →
Citations per field
00.5×5.3×
Neil Dalton · 1×
Citations per year

Countries citing papers authored by Keiko Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Safety and efficacy of rituximab in systemic sclerosis (DESIRES): a double-blind, investigator-initiated, randomised, placebo-controlled trial
Hit paper breakdown →
2021151
2 2006144
3 2007125
4 201193
5 200784
6 201172
7 201267
8 201161
9 201154
10 201944
11 201941
12 202238
13 199933
14 199931
15 201528
16 200927
17 202223
18 202023
19 199721
20 201413

About Keiko Ueda

Keiko Ueda is a scholar working on Pulmonary and Respiratory Medicine, Clinical Biochemistry, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Lung Cancer Diagnosis and Treatment (5 papers), Systemic Sclerosis and Related Diseases (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Regulation of Appetite and Obesity (3 papers), Pericarditis and Cardiac Tamponade (3 papers), Pleural and Pulmonary Diseases (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Clinical Biochemistry (305 citations), Pathology and Forensic Medicine (269 citations), Endocrine and Autonomic Systems (69 citations), Cardiology and Cardiovascular Medicine (196 citations) and Complementary and alternative medicine (54 citations). Keiko Ueda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kazuaki Chayama, Masao Yoshizumi, Yukihito Higashi, Chikara Goto, Kenji Nishioka, Daisuke Jitsuiki, Kensuke Noma, Takashi Umemura, Masashi Kimura and Yukari Uemura. Their work appears in journals such as Molecular Genetics and Metabolism, Lara D. Veeken, The Lancet Rheumatology, Journal of the American College of Cardiology and Clinical and Translational Science.

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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