Takao Kojo

19 papers receiving 473 citations

Peers

Takao Kojo
Comparison fields: 5 of 70
  • Surgery 392
  • Pulmonary and Respiratory Medicine 306
  • Cardiology and Cardiovascular Medicine 111
  • Public Health, Environmental and Occupational Health 45
  • Epidemiology 44
Replace Giuseppe Calcaterra with:
Giuseppe Calcaterra Italy
Olamide Alabi United States
Timothy B. Cotts United States
Jennifer Gillen United States
V. Vodovar France
Trisha Radia United Kingdom
Jan D. Manzetti United States
Sandrine Jean France
Barakat Adeola Animasahun Nigeria
S. Kristen Sexson Tejtel United States
Takao Kojo relative to Giuseppe Calcaterra Italy Giuseppe Calcaterra's profile →
Citations per field
00.5×10×15×22.3×
Giuseppe Calcaterra · 1×
Citations per year

Countries citing papers authored by Takao Kojo

Since Specialization
Citations

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

Fields of papers citing papers by Takao Kojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Kojo

This figure shows the co-authorship network connecting the top 25 collaborators of Takao Kojo. A scholar is included among the top collaborators of Takao Kojo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takao Kojo. Takao Kojo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 13
5 82
6 7
7 13
8 5
9 30
10 4
11 4
12 235
13 6
14
[Satisfaction with hospital care among diabetic outpatients and its associated factors. Secondary use of official statistics].
2
15 35
16 13
17 1
18
[Self-injury in Japan: epidemiological features from the nationwide survey data of 2010].
3
19 22

About Takao Kojo

Takao Kojo is a scholar working on Emergency Medical Services, Emergency Medicine and Geriatrics and Gerontology, having authored 19 papers that have together received 481 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (6 papers), Coronary Artery Anomalies (4 papers) and Global Health Workforce Issues (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (306 citations), Surgery (392 citations) and Cardiology and Cardiovascular Medicine (111 citations). Takao Kojo has collaborated with scholars based in Japan, Qatar and United States. Frequent co-authors include Yosikazu Nakamura, Ryusuke Ae, Kazuhiko Kotani, Yasuko Aoyama, Nobuko Makino, Hiroshi Yanagawa, Mayumi Yashiro, Satoshi Tsuboi, Ritei Uehara and Takashi Sano. Their work appears in journals such as International Journal of Environmental Research and Public Health, Preventive Medicine and Journal of Epidemiology.

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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