Hiroko Okada

2.5k total citations · 1 hit paper
120 papers, 1.7k citations indexed

About

Hiroko Okada is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Health. According to data from OpenAlex, Hiroko Okada has authored 120 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in General Health Professions, 24 papers in Public Health, Environmental and Occupational Health and 17 papers in Health. Recurrent topics in Hiroko Okada's work include Health Literacy and Information Accessibility (19 papers), Vaccine Coverage and Hesitancy (13 papers) and Misinformation and Its Impacts (12 papers). Hiroko Okada is often cited by papers focused on Health Literacy and Information Accessibility (19 papers), Vaccine Coverage and Hesitancy (13 papers) and Misinformation and Its Impacts (12 papers). Hiroko Okada collaborates with scholars based in Japan, Ireland and United States. Hiroko Okada's co-authors include Takahiro Kiuchi, Tsuyoshi Okuhara, Koji Yasutomo, Yoichi Maekawa, Kenji Kishihara, Shin‐ichi Tsukumo, Hajime Hisaeda, Kunisuke Himeno, Hisamaru Hirai and Yuki Hayashi and has published in prestigious journals such as Nature Medicine, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Hiroko Okada

94 papers receiving 1.7k citations

Hit Papers

Performance of ChatGPT Across Different Versions in Medic... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis
    2024 73 citations Tsuyoshi Okuhara, Hiroko Okada et al. Journal of Medical Internet Research profile →

Peers

Hiroko Okada
Quentin Eichbaum United States
Atsuko Aoyama Japan
Christina Tam United States
Ryung S. Kim United States
Peter Berger Austria
Fiona C. Shenton United Kingdom
Kim Burns Australia
Marc Dupuis Switzerland
Mukesh Kumar United States
Kelly V. Ruggles United States
Quentin Eichbaum United States
Hiroko Okada
Citations per year, relative to Hiroko Okada Hiroko Okada (= 1×) peers Quentin Eichbaum

Countries citing papers authored by Hiroko Okada

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Okada. A scholar is included among the top collaborators of Hiroko Okada 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 Hiroko Okada. Hiroko Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Ito, Shinya, et al.. (2024). Evaluating the overall quality of online information on nuclear power plant accidents in Japanese. Radioprotection. 60(1). 109–119. 2 indexed citations
5.
Okuhara, Tsuyoshi, et al.. (2024). Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis. Journal of Medical Internet Research. 26. e60807–e60807. 73 indexed citations breakdown →
6.
Okuhara, Tsuyoshi, et al.. (2024). Large Language Models in Dental Licensing Examinations: Systematic Review and Meta-Analysis. International Dental Journal. 75(1). 213–222. 8 indexed citations
7.
Hara, Satoshi, Takeshi Kusunoki, Hiroshi Nakagawa, et al.. (2024). Impact of Reduced Acidic Earwax pH and Earwax‐Determinant Genotypes in Acquired Middle Ear Cholesteatoma. Otolaryngology. 171(5). 1511–1517.
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Okuhara, Tsuyoshi, et al.. (2024). Readability of online and offline written health information: a protocol of a systematic review of systematic reviews. BMJ Open. 14(12). e079756–e079756. 1 indexed citations
9.
Okuhara, Tsuyoshi, et al.. (2023). Intervention studies to encourage HPV vaccination using narrative: A scoping review. Patient Education and Counseling. 111. 107689–107689. 7 indexed citations
10.
Okuhara, Tsuyoshi, et al.. (2023). Evaluating the understandability and actionability of online CKD educational materials. Clinical and Experimental Nephrology. 28(1). 31–39. 2 indexed citations
11.
Okuhara, Tsuyoshi, et al.. (2023). Encouraging COVID-19 vaccination by focusing on anticipated affect: A scoping review. Heliyon. 9(12). e22655–e22655. 5 indexed citations
12.
Okuhara, Tsuyoshi, et al.. (2022). Translation, Cross-Cultural Adaptation, and Validation of the Japanese Version of the Patient Education Materials Assessment Tool (PEMAT). International Journal of Environmental Research and Public Health. 19(23). 15763–15763. 19 indexed citations
13.
Goto, Eiko, Hirono Ishikawa, Tsuyoshi Okuhara, et al.. (2022). Associations between job and workplace factors, health and physical factors, personal factors, and presenteeism among general employees in Japan: A longitudinal study. Journal of Occupational Health. 64(1). e12344–e12344. 4 indexed citations
14.
Okada, Hiroko, et al.. (2022). Development of the Japanese Version of the Infertility Stigma Scale: Examination of Its Reliability and Validity. Healthcare. 10(3). 505–505. 4 indexed citations
15.
Okuhara, Tsuyoshi, et al.. (2021). Japanese newspaper advertisements for dietary supplements before and after COVID-19: a content analysis. BMJ Open. 11(11). e050898–e050898. 9 indexed citations
16.
Okuhara, Tsuyoshi, et al.. (2021). Changes in Anxiety and Stress Among Pregnant Women During the COVID-19 Pandemic: Content Analysis of a Japanese Social Question-and-Answer Website. JMIR Pediatrics and Parenting. 4(3). e27733–e27733. 1 indexed citations
17.
Kizawa, Yoshiyuki, Hiroko Okada, Takuya Kawahara, & Tatsuya Morita. (2020). Effects of Brief Nurse Advance Care Planning Intervention with Visual Materials on Goal-of-Care Preference of Japanese Elderly Patients with Chronic Disease: A Pilot Randomized-Controlled Trial. Journal of Palliative Medicine. 23(8). 1076–1083. 10 indexed citations
18.
Goto, Eiko, Hirono Ishikawa, Tsuyoshi Okuhara, et al.. (2020). Presenteeism among workers: health-related factors, work-related factors and health literacy. Occupational Medicine. 70(8). 564–569. 20 indexed citations
19.
Okada, Hiroko, et al.. (2012). A Case of Acute Intracranial Rhinosinusitis Complications. Practica Oto-Rhino-Laryngologica. 105(3). 233–237.
20.
Asai, Shuji, Toshitsugu Sato, Takuya Tada, et al.. (2004). Absence of procarboxypeptidase R induces complement-mediated lethal inflammation in LPS-primed mice. Molecular Immunology. 41. 204. 1 indexed citations

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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