Akiko Ueda

103 papers receiving 2.2k citations

Peers

Akiko Ueda
Comparison fields: 5 of 112
  • Pharmacology 524
  • Microbiology 38
  • Environmental Chemistry 204
  • Endocrinology, Diabetes and Metabolism 239
  • Biochemistry 98
Replace Winfried Beil with:
Winfried Beil Germany
Dan Weng China
Kathleen G. Dickman United States
Ankur Seth United States
Shuzo Otani Japan
Michael A. Watson United States
Xiaonan Han United States
Thomas Nolte Germany
JaeHun Cheong South Korea
Danyel Jennen Netherlands
Akiko Ueda relative to Winfried Beil Germany Winfried Beil's profile →
Citations per field
00.5×10×13.6×
Winfried Beil · 1×
Citations per year

Countries citing papers authored by Akiko Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002382
2 2001299
3 2000219
4 200393
5 201364
6 200558
7 200354
8 200546
9 201346
10 200145
11 201442
12 199939
13 201937
14 201137
15 202133
16 201232
17 202032
18 199127
19 201926
20 201025

About Akiko Ueda

Akiko Ueda is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (17 papers), Pharmacogenetics and Drug Metabolism (10 papers), Cardiac pacing and defibrillation studies (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Estrogen and related hormone effects (5 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Lichen and fungal ecology (4 papers). The work is most often cited by research in Pharmacology (524 citations), Microbiology (38 citations), Environmental Chemistry (204 citations), Endocrinology, Diabetes and Metabolism (239 citations) and Biochemistry (98 citations). Akiko Ueda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masahiko Negishi, Tatsuya Sueyoshi, Yukio Yamamoto, Heather K. Webb, Hisham K. Hamadeh, Satoru Kakizaki, Cynthia A. Afshari, Jürgen M. Lehmann, Manabu Shirai and Tatsuo NISHIZAWA. Their work appears in journals such as EP Europace, Journal of Cardiovascular Electrophysiology, Molecular Pharmacology, Phytochemistry and Drug Metabolism and Disposition.

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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