Wasa Ueda

1.2k citations
57 papers · 884 indexed · h-index 15

Impact in

Papers in

Wasa Ueda

54 papers receiving 834 citations

Peers

Wasa Ueda
Comparison fields: 5 of 93
  • Anesthesiology and Pain Medicine 435
  • Developmental Neuroscience 274
  • Critical Care and Intensive Care Medicine 188
  • Surgery 349
  • Cardiology and Cardiovascular Medicine 147
Replace Rajiv Jhaveri with:
Rajiv Jhaveri United States
L.P. BRIGGS United Kingdom
Nada Sabourdin France
Takahiko Kamibayashi Japan
Hany A. Mowafi Saudi Arabia
Shigeru Maeda Japan
O Viinamäki Finland
Yushi Adachi Japan
Xavier Dupont France
Mark Tverskoy United States
Wasa Ueda relative to Rajiv Jhaveri United States Rajiv Jhaveri's profile →
Citations per field
00.5×4.7×
Rajiv Jhaveri · 1×
Citations per year

Countries citing papers authored by Wasa Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Wasa Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20209
2 20193
3 20181
4 20164
5 200912
6 20076
7 200511
8 200522
9 200530
10 200411
11 20049
12 19996
13 1997326
14 19956
15 19934
16 19933
17
Lidocaine inhibits stimulation-coupled responses of neutrophils and protein kinase C activity.
199022
18 199010
19 19894
20 198829

About Wasa Ueda

Wasa Ueda is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience, Critical Care and Intensive Care Medicine, Oral Surgery and Behavioral Neuroscience, having authored 57 papers that have together received 884 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (15 papers), Anesthesia and Sedative Agents (14 papers), Anesthesia and Neurotoxicity Research (10 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers), Dental Anxiety and Anesthesia Techniques (5 papers), Pediatric Pain Management Techniques (5 papers), Airway Management and Intubation Techniques (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (435 citations), Developmental Neuroscience (274 citations), Critical Care and Intensive Care Medicine (188 citations), Surgery (349 citations) and Cardiology and Cardiovascular Medicine (147 citations). Wasa Ueda has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Masanobu Manabe, Eri Takimoto, Jun Aono, Kikyo Mamiya, Masahisa Hirakawa, Hiroshi Yamamoto, Young‐Chang P. Arai, M. YOKOYAMA, Masahiko Tsuchiya and Kenichi Ueda. Their work appears in journals such as Anesthesia & Analgesia, Anesthesiology, Acta Anaesthesiologica Scandinavica, Pain Medicine and British Journal of Anaesthesia.

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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