Jun Kataoka

12 papers receiving 145 citations

Peers

Jun Kataoka
Comparison fields: 5 of 38
  • Critical Care and Intensive Care Medicine 65
  • Radiological and Ultrasound Technology 21
  • Pulmonary and Respiratory Medicine 40
  • Geriatrics and Gerontology 4
  • Anesthesiology and Pain Medicine 5
Replace Akihiro Takaba with:
Akihiro Takaba Japan
Ryota Fuke Japan
Tessa Broadley Australia
Charlotte Salmon-Gandonnière France
Kenzo Ishii Japan
Elizabeth Hibbert Australia
Tammy L. Eaton United States
Laëtitia Bodet-Contentin France
Sylvène Rosselli France
Christopher L. Mosher United States
Jun Kataoka relative to Akihiro Takaba Japan Akihiro Takaba's profile →
Citations per field
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Akihiro Takaba · 1×
Citations per year

Countries citing papers authored by Jun Kataoka

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kataoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202169
2 201820
3 201912
4 202311
5 20189
6 20178
7 20216
8 20195
9 20203
10 20172
11 20251
12 20151
13 20250

About Jun Kataoka

Jun Kataoka is a scholar working on Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Neurology, Cardiology and Cardiovascular Medicine and Anesthesiology and Pain Medicine, having authored 13 papers that have together received 147 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (5 papers), Intensive Care Unit Cognitive Disorders (2 papers), Acute Myeloid Leukemia Research (1 paper), Bone and Joint Diseases (1 paper), Simulation-Based Education in Healthcare (1 paper), Airway Management and Intubation Techniques (1 paper), Youth Substance Use and School Attendance (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (65 citations), Radiological and Ultrasound Technology (21 citations), Pulmonary and Respiratory Medicine (40 citations), Geriatrics and Gerontology (4 citations) and Anesthesiology and Pain Medicine (5 citations). Jun Kataoka has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Shigeki Fujitani, Yasuhiro Norisue, Tomoya Okazaki, Tomoya Yamashita, Daisuke Kawakami, Masatoshi Okumura, Mumon Takita, Akihiro Takaba, Tomohiro Adachi and Hiromasa Irie. Their work appears in journals such as Annals of Intensive Care, Respiratory Care, Critical Care Medicine, Journal of Critical Care and Intensive Care Medicine Experimental.

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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