Dai Kimura

37 papers receiving 429 citations

Peers

Dai Kimura
Comparison fields: 5 of 80
  • Critical Care and Intensive Care Medicine 40
  • Biomaterials 63
  • Pulmonary and Respiratory Medicine 144
  • Endocrine and Autonomic Systems 29
  • Surgery 128
Replace Philipp A. Pickerodt with:
Philipp A. Pickerodt Germany
John R. Salsbury United States
Yu Oshima Japan
Christian Bleilevens Germany
Thomas Waldow Germany
Milena V. Oliveira Brazil
Xi Wu China
Min Zeng China
Ronald G. Tompkins United States
Terence Gourlay United Kingdom
Dai Kimura relative to Philipp A. Pickerodt Germany Philipp A. Pickerodt's profile →
Citations per field
00.5×2.6×
Philipp A. Pickerodt · 1×
Citations per year

Countries citing papers authored by Dai Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Dai Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200262
2 199744
3 201539
4 200227
5 200822
6 201520
7 201120
8 201919
9 199719
10 201916
11 201516
12 200315
13 201812
14 201611
15 200911
16 201210
17
Inter-Cell Interference Coordination (ICIC) Technology
201210
18 201310
19 20098
20 20167

About Dai Kimura

Dai Kimura is a scholar working on Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Surgery, Computer Networks and Communications and Epidemiology, having authored 41 papers that have together received 443 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (8 papers), Respiratory Support and Mechanisms (6 papers), Neonatal Respiratory Health Research (6 papers), Cooperative Communication and Network Coding (5 papers), Advanced Wireless Network Optimization (4 papers), Respiratory viral infections research (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (40 citations), Biomaterials (63 citations), Pulmonary and Respiratory Medicine (144 citations), Endocrine and Autonomic Systems (29 citations) and Surgery (128 citations). Dai Kimura has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Hiroyuki Seki, Tatsuo Nakamura, Yoshio Hori, Yoshimochi Kurokawa, Yasuhiko Shimizu, Susumu Satomi, Balagangadhar Totapally, Andreas Schwingshackl, André Raszynski and Cynthia R. Rovnaghi. Their work appears in journals such as Critical Care Medicine, Frontiers in Pediatrics, Pediatric Critical Care Medicine, American Journal of Physiology-Heart and Circulatory Physiology and Lung.

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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