Hitoshi Ueda

3.7k citations
131 papers · 3.0k · 1 hit paper · h-index 28

Impact in

Papers in

Hitoshi Ueda

127 papers receiving 2.9k citations

Hitoshi Ueda's Hit Papers

Rivaroxaban vs. Warfarin in Japanese Patients With Atrial Fibrillation 2012 · 488 citations
4880+4+9Years since publication100200300400

Peers

Hitoshi Ueda
Comparison fields: 5 of 134
  • Internal Medicine 215
  • Cardiology and Cardiovascular Medicine 885
  • Pharmaceutical Science 231
  • Nephrology 159
  • Neurology 102
Replace David M. Long with:
David M. Long United States
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Ewa Stępień Poland
Hiroshi Matsuo Japan
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Citations per field
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Citations per year

Countries citing papers authored by Hitoshi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rivaroxaban vs. Warfarin in Japanese Patients With Atrial Fibrillation
Hit paper breakdown →
2012488
2 1985351
3 199495
4 201289
5 199987
6 199178
7 198877
8 198963
9 201359
10 200857
11 201455
12 198753
13 199652
14 201050
15 201148
16 199747
17 199247
18 200246
19 200846
20 200245

About Hitoshi Ueda

Hitoshi Ueda is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Pharmaceutical Science and Spectroscopy, having authored 131 papers that have together received 3.0k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (11 papers), RNA and protein synthesis mechanisms (11 papers), Drug Solubulity and Delivery Systems (10 papers), Analytical Chemistry and Chromatography (9 papers), Lung Cancer Diagnosis and Treatment (6 papers), Protein purification and stability (6 papers), Superconducting Materials and Applications (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Internal Medicine (215 citations), Cardiology and Cardiovascular Medicine (885 citations), Pharmaceutical Science (231 citations), Nephrology (159 citations) and Neurology (102 citations). Hitoshi Ueda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hiromasa Nagase, Mariko Kajikawa, Masahiro Tajiri, Mitsunobu Doi, Norio Tanahashi, Shinichiro Uchiyama, Shinya Goto, Shin‐ichi Momomura, Tohru Izumi and Masayasu Matsumoto. Their work appears in journals such as Circulation Journal, Journal of Stroke and Cerebrovascular Diseases, Journal of Pharmaceutical and Biomedical Analysis, Journal of Thoracic Oncology and Journal of Thoracic Imaging.

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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