Jun Oto

1.7k citations
75 papers · 1.1k · h-index 21

Impact in

Papers in

Jun Oto

73 papers receiving 1.1k citations

Peers

Jun Oto
Comparison fields: 5 of 85
  • Critical Care and Intensive Care Medicine 338
  • Anesthesiology and Pain Medicine 157
  • Pulmonary and Respiratory Medicine 392
  • Emergency Medicine 103
  • Developmental Neuroscience 26
Replace KATHERINE V. BIAGAS with:
KATHERINE V. BIAGAS United States
Paul Kessler Germany
Jean Claude Raphaël France
Dimitry Y. Baranov United States
Ramesh Ramaiah United States
Ségolène Mrozek France
Peter J. Radell Sweden
Helmut Trimmel Austria
Shouri Lahiri United States
Jesús Conill Sancho Spain
Jun Oto relative to KATHERINE V. BIAGAS United States KATHERINE V. BIAGAS's profile →
Citations per field
00.5×2×2.9×
KATHERINE V. BIAGAS · 1×
Citations per year

Countries citing papers authored by Jun Oto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Oto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014107
2 201285
3 202268
4 201946
5 201645
6 202043
7 201740
8 202040
9 202033
10 202030
11 202130
12 202427
13 201327
14 201127
15 201126
16 201726
17 201324
18 201023
19 201022
20 201122

About Jun Oto

Jun Oto is a scholar working on Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine, Emergency Medicine and Emergency Medical Services, having authored 75 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (27 papers), Intensive Care Unit Cognitive Disorders (18 papers), Airway Management and Intubation Techniques (9 papers), Nosocomial Infections in ICU (8 papers), Neonatal Respiratory Health Research (4 papers), Central Venous Catheters and Hemodialysis (4 papers), Sepsis Diagnosis and Treatment (4 papers) and Cardiac Arrest and Resuscitation (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (338 citations), Anesthesiology and Pain Medicine (157 citations), Pulmonary and Respiratory Medicine (392 citations), Emergency Medicine (103 citations) and Developmental Neuroscience (26 citations). Jun Oto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masaji Nishimura, Nobuto Nakanishi, Hideaki Imanaka, Mutsuo Onodera, Emiko Nakataki, Rie Tsutsumi, Taiga Itagaki, Katsunori Yamamoto, Shigefumi Koike and Robert M. Kacmarek. Their work appears in journals such as Respiratory Care, The Journal of Medical Investigation, Intensive Care Medicine, Journal of Intensive Care and American Journal of Infection Control.

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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