Jun Kunikata

20 papers receiving 235 citations

Jun Kunikata's Hit Papers

Extracorporeal cardiopulmonary resuscitation in adult patients with out-of-hospital cardiac arrest: a retrospective large cohort multicenter study in Japan 2022 · 99 citations
990+1+2Years since publication255075

Peers

Jun Kunikata
Comparison fields: 5 of 38
  • Emergency Medicine 137
  • Health Informatics 6
  • Pediatrics, Perinatology and Child Health 18
  • Critical Care and Intensive Care Medicine 6
  • Clinical Biochemistry 4
Replace Ann M. Faherty with:
Ann M. Faherty New Zealand
In Soo Cho South Korea
Walter Paladino United States
Satoshi Matsui Japan
Fumiko Nakamura Japan
María Luisa Bertrand Spain
R. Denman Australia
Markus Waitz Germany
Trond Dehli Norway
Neil Mittal United States
Jun Kunikata relative to Ann M. Faherty New Zealand Ann M. Faherty's profile →
Citations per field
00.5×2×4×6×
Ann M. Faherty · 1×
Citations per year

Countries citing papers authored by Jun Kunikata

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kunikata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extracorporeal cardiopulmonary resuscitation in adult patients with out-of-hospital cardiac arrest: a retrospective large cohort multicenter study in Japan
Hit paper breakdown →
202299
2 202128
3 202217
4 202216
5 201410
6 201810
7 20238
8 20248
9 20247
10 20216
11 20125
12 20215
13 20235
14 20245
15 20124
16 20224
17 20213
18 20212
19 20161
20 20231

About Jun Kunikata

Jun Kunikata is a scholar working on Emergency Medicine, Pediatrics, Perinatology and Child Health, Complementary and alternative medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 244 indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (9 papers), Cervical Cancer and HPV Research (3 papers), Neonatal Health and Biochemistry (3 papers), Cardiovascular and exercise physiology (2 papers), Neonatal and fetal brain pathology (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Infant Development and Preterm Care (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Emergency Medicine (137 citations), Health Informatics (6 citations), Pediatrics, Perinatology and Child Health (18 citations), Critical Care and Intensive Care Medicine (6 citations) and Clinical Biochemistry (4 citations). Jun Kunikata has collaborated with scholars based in Japan. Frequent co-authors include Takashi Iwase, Tetsuo Minamino, Hitoshi Okada, Tomohiro Hirao, Hideto Yokoi, Takashi Kusaka, Tsuyoshi Goto Sasaki, Takuji Fujisawa, Shigeru Ito and Ichiro Yokota. Their work appears in journals such as Journal of the American Heart Association, Resuscitation Plus, Scientific Reports, Journal of Clinical Medicine and Journal of Atherosclerosis and Thrombosis.

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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