Tadao Ooka

49 papers receiving 375 citations

Peers

Tadao Ooka
Comparison fields: 5 of 96
  • Health 67
  • Obstetrics and Gynecology 47
  • Health Informatics 8
  • Immunology and Allergy 31
  • Health Information Management 16
Replace Hossein Safizadeh with:
Hossein Safizadeh Iran
Sayaka Horiuchi Japan
Uri Hamiel Israel
Farzane Behnezhad Iran
Kowsar Qaderi Iran
Paul Jelfs Australia
Jennifer J. Yland United States
Brit Trogen United States
Folashade Omole United States
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Tadao Ooka relative to Hossein Safizadeh Iran Hossein Safizadeh's profile →
Citations per field
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Hossein Safizadeh · 1×
Citations per year

Countries citing papers authored by Tadao Ooka

Since Specialization
Citations

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

Fields of papers citing papers by Tadao Ooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202165
2 202037
3 202134
4 202218
5 202216
6 202014
7 202113
8 202211
9 202511
10 202310
11 202110
12 20239
13 20218
14 20227
15 20217
16 20227
17 20217
18 20227
19 20216
20 20226

About Tadao Ooka

Tadao Ooka is a scholar working on Epidemiology, Physiology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 58 papers that have together received 384 indexed citations. Recurring topics across this work include Respiratory viral infections research (14 papers), Asthma and respiratory diseases (10 papers), Allergic Rhinitis and Sensitization (8 papers), Neonatal Respiratory Health Research (7 papers), Gestational Diabetes Research and Management (6 papers), Birth, Development, and Health (6 papers), Dermatology and Skin Diseases (4 papers) and Pediatric health and respiratory diseases (4 papers). The work is most often cited by research in Health (67 citations), Obstetrics and Gynecology (47 citations), Health Informatics (8 citations), Immunology and Allergy (31 citations) and Health Information Management (16 citations). Tadao Ooka has collaborated with scholars based in Japan, United States and Chile. Frequent co-authors include Zentaro Yamagata, Hiroshi Yokomichi, Ryoji Shinohara, Yuka Akiyama, Sayaka Horiuchi, Kunio Miyake, Reiji Kojima, Sanae Otawa, Megumi Kushima and Kohei Hasegawa. Their work appears in journals such as International Journal of Environmental Research and Public Health, PLoS ONE, Frontiers in Nutrition, Journal of Diabetes Investigation and Frontiers in Immunology.

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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