Eiichi Inada

108 papers receiving 1.2k citations

Peers

Eiichi Inada
Comparison fields: 5 of 105
  • Anesthesiology and Pain Medicine 107
  • Critical Care and Intensive Care Medicine 53
  • Developmental Neuroscience 39
  • Endocrine and Autonomic Systems 55
  • Physiology 204
Replace Bernhard Iglseder with:
Bernhard Iglseder Austria
Isao Tsuneyoshi Japan
Paul R. Knight United States
Munetaka Hirose Japan
Koshi Makita Japan
Jack Jallo United States
B. Biber Sweden
Takuya Miyawaki Japan
Chun‐Chang Yeh Taiwan
M. Laub Denmark
Eiichi Inada relative to Bernhard Iglseder Austria Bernhard Iglseder's profile →
Citations per field
00.5×1.6×
Bernhard Iglseder · 1×
Citations per year

Countries citing papers authored by Eiichi Inada

Since Specialization
Citations

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

Fields of papers citing papers by Eiichi Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201154
2 201146
3 201944
4 201143
5 198941
6 201940
7 201139
8 201637
9 201034
10 201234
11 199433
12 201133
13 201432
14 201331
15 201330
16 201429
17 201728
18 201726
19 201823
20 200721

About Eiichi Inada

Eiichi Inada is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Physiology, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine, having authored 116 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Cardiac, Anesthesia and Surgical Outcomes (11 papers), Tracheal and airway disorders (8 papers), Airway Management and Intubation Techniques (7 papers), Congenital Diaphragmatic Hernia Studies (7 papers), Hemodynamic Monitoring and Therapy (5 papers), Cancer, Stress, Anesthesia, and Immune Response (5 papers) and Anesthesia and Pain Management (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (107 citations), Critical Care and Intensive Care Medicine (53 citations), Developmental Neuroscience (39 citations), Endocrine and Autonomic Systems (55 citations) and Physiology (204 citations). Eiichi Inada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Keisuke Yamaguchi, Masako Iseki, Seiichiro Kumakura, Isao Nagaoka, Taisuke Murakami, Kenji Suzuki, Yusuke Sugasawa, Takashi Sakurai, Maiko Hasegawa‐Moriyama and Atsuyuki Yamataka. Their work appears in journals such as Pediatric Surgery International, Journal of Cardiothoracic and Vascular Anesthesia, Anesthesiology, PLoS ONE and Journal of Clinical Anesthesia.

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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