Tsuyoshi Okuhara

1.5k citations
101 papers · 873 indexed · 1 hit paper · h-index 17

Tsuyoshi Okuhara

84 papers receiving 855 citations

Hit Papers

Performance of ChatGPT Across Different Versions in Medic...73202420262025204060

Peers

Tsuyoshi Okuhara
Comparison fields: 5 of 131
  • Health Informatics 84
  • Health 220
  • Family Practice 27
  • Applied Psychology 52
  • General Health Professions 253
Replace Julie Ayre with:
Julie Ayre Australia
Joseph Ali United States
Cheuk Chi Tam United States
Tera L Reynolds United States
Robin J. Jacobs United States
Angelos P. Kassianos United Kingdom
Kevin Padrez United States
Brian Li Han Wong United Kingdom
Sunmoo Yoon United States
Nicola Diviani Switzerland
Tsuyoshi Okuhara relative to Julie Ayre Australia Julie Ayre's profile →
Citations per field
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Julie Ayre · 1×
Citations per year

Countries citing papers authored by Tsuyoshi Okuhara

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Okuhara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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4 20242
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Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysisbreakdown →
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6 20248
7 20241
8 20237
9 20232
10 20235
11 202219
12 20224
13 20224
14 20212
15 20219
16 20211
17 202020
18 20184
19 20183
20 20182

About Tsuyoshi Okuhara

Tsuyoshi Okuhara is a scholar working on Health Informatics, Health and Applied Psychology, having authored 101 papers that have together received 873 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (29 papers), Vaccine Coverage and Hesitancy (19 papers), Misinformation and Its Impacts (17 papers), Media Influence and Health (14 papers), Behavioral Health and Interventions (10 papers), Social Media in Health Education (10 papers), Mobile Health and mHealth Applications (8 papers) and Patient-Provider Communication in Healthcare (7 papers). The work is most often cited by research in Health Informatics (84 citations), Health (220 citations) and Family Practice (27 citations). Tsuyoshi Okuhara has collaborated with scholars based in Japan, Ireland and Australia. Frequent co-authors include Takahiro Kiuchi, Hiroko Okada, Hirono Ishikawa, Mio Kato, Eiko Goto, Masafumi OKADA, Tsuyoshi Chiba, Rie Akamatsu, Yoshiyuki Kizawa and Misa Shimpo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nutrients.

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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