Jun Tomio

1.1k total citations
42 papers, 662 citations indexed

About

Jun Tomio is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Emergency Medicine. According to data from OpenAlex, Jun Tomio has authored 42 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Public Health, Environmental and Occupational Health and 8 papers in Emergency Medicine. Recurrent topics in Jun Tomio's work include Cardiac Arrest and Resuscitation (6 papers), Traffic and Road Safety (6 papers) and Injury Epidemiology and Prevention (5 papers). Jun Tomio is often cited by papers focused on Cardiac Arrest and Resuscitation (6 papers), Traffic and Road Safety (6 papers) and Injury Epidemiology and Prevention (5 papers). Jun Tomio collaborates with scholars based in Japan, United States and Ireland. Jun Tomio's co-authors include Shinji Nakahara, Masao Ichikawa, Naoto Morimura, Yasuki Kobayashi, Tetsuya Sakamoto, Hideto Takahashi, Hideto Takahashi, Fumiaki Nakamura, Tetsuya Sakamoto and M. Nishida and has published in prestigious journals such as JAMA, PLoS ONE and Annals of Surgery.

In The Last Decade

Jun Tomio

41 papers receiving 647 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Tomio Japan 14 309 149 121 111 89 42 662
Hans Järnbert‐Pettersson Sweden 11 326 1.1× 84 0.6× 128 1.1× 142 1.3× 78 0.9× 38 708
Jesse J. Sturm United States 15 230 0.7× 108 0.7× 64 0.5× 156 1.4× 24 0.3× 33 729
Ville Ponkilainen Finland 14 125 0.4× 122 0.8× 98 0.8× 454 4.1× 142 1.6× 123 1.0k
Christian Lycke Ellingsen Norway 11 274 0.9× 70 0.5× 138 1.1× 173 1.6× 37 0.4× 23 660
Mansoor N. Bangash United Kingdom 14 114 0.4× 163 1.1× 28 0.2× 152 1.4× 69 0.8× 34 833
Beena D. Kamath‐Rayne United States 23 383 1.2× 175 1.2× 137 1.1× 264 2.4× 39 0.4× 85 1.8k
John Welsh United States 8 107 0.3× 146 1.0× 59 0.5× 212 1.9× 64 0.7× 11 675
Rana Bachir Lebanon 17 303 1.0× 212 1.4× 123 1.0× 276 2.5× 82 0.9× 64 932
Kathy Baker United States 17 125 0.4× 103 0.7× 123 1.0× 347 3.1× 56 0.6× 43 918
John B. McCabe United States 15 250 0.8× 124 0.8× 41 0.3× 319 2.9× 53 0.6× 51 810

Countries citing papers authored by Jun Tomio

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tomio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tomio

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tomio. A scholar is included among the top collaborators of Jun Tomio 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 Jun Tomio. Jun Tomio 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
1.
Inada, Haruhiko, Jun Tomio, Shinji Nakahara, & Masao Ichikawa. (2023). Association between mandatory cognitive testing for license renewal and motor vehicle collisions and road injuries. Journal of the American Geriatrics Society. 71(4). 1145–1155. 3 indexed citations
2.
Ando, Yukio, et al.. (2023). Long- and Short-Term Trends in Outpatient Attendance by Speciality in Japan: A Joinpoint Regression Analysis in the Context of the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 20(23). 7133–7133. 2 indexed citations
3.
Tomio, Jun, et al.. (2023). Association between spatial access and hospitalization for ambulatory care sensitive conditions: A retrospective cohort study using claims data. SSM - Population Health. 25. 101565–101565. 1 indexed citations
4.
Tomio, Jun, et al.. (2022). Trends in dental visits during the state of emergency for COVID-19 in Japan: a retrospective observational study. BMJ Open. 12(9). e064666–e064666. 7 indexed citations
5.
Tomio, Jun, et al.. (2022). Hospitalizations for Ambulatory Care Sensitive Conditions in a Large City of Japan: a Descriptive Analysis Using Claims Data. Journal of General Internal Medicine. 37(15). 3917–3924. 2 indexed citations
6.
Nakahara, Shinji, Haruhiko Inada, Masao Ichikawa, & Jun Tomio. (2022). Japan's Slow Response to Improve Access to Inpatient Care for COVID-19 Patients. Frontiers in Public Health. 9. 791182–791182. 7 indexed citations
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Yamana, Hayato, et al.. (2020). Treatment of latent tuberculosis infection in patients receiving biologic agents. Journal of Infection and Chemotherapy. 27(2). 243–249. 1 indexed citations
10.
Hara, Konan, et al.. (2019). Can income-based co-payment rates improve disparity? The case of the choice between brand-name and generic drugs. BMC Health Services Research. 19(1). 780–780. 6 indexed citations
11.
Zaitsu, Masayoshi, et al.. (2018). Impact of a direct-to-consumer information campaign on prescription patterns for overactive bladder. BMC Health Services Research. 18(1). 325–325. 3 indexed citations
12.
Hara, Konan, Jun Tomio, Thomas Svensson, et al.. (2018). Association measures of claims-based algorithms for common chronic conditions were assessed using regularly collected data in Japan. Journal of Clinical Epidemiology. 99. 84–95. 36 indexed citations
13.
Tomio, Jun, et al.. (2018). Association between local-level resources for home care and home deaths: A nationwide spatial analysis in Japan. PLoS ONE. 13(8). e0201649–e0201649. 23 indexed citations
14.
Tomio, Jun, Hayato Yamana, Hiroki Matsui, et al.. (2017). Tuberculosis screening prior to anti‐tumor necrosis factor therapy among patients with immune‐mediated inflammatory diseases in Japan: a longitudinal study using a large‐scale health insurance claims database. International Journal of Rheumatic Diseases. 20(11). 1674–1683. 11 indexed citations
15.
Inada, Haruhiko, Jun Tomio, Shinji Nakahara, et al.. (2016). National 10-year trend in road injuries involving school children on the way to and from school in Japan, 2003–2012. Injury Prevention. 23(5). 297–302. 3 indexed citations
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Satō, Hajime, et al.. (2010). The public acceptance of smallpox vaccination to fight bioterrorism in Japan: results of a large-scale opinion survey in Japan. Environmental Health and Preventive Medicine. 16(5). 290–298. 1 indexed citations
19.
Nakahara, Shinji, Jun Tomio, Masao Ichikawa, et al.. (2010). Effectiveness of advanced airway management by paramedics for witnessed out-of-hospital cardiac arrest of cardiac origin. Resuscitation. 81(2). S18–S18. 2 indexed citations
20.
Tomio, Jun, Satoshi Toyokawa, Shinichi Tanihara, Kazuo Inoue, & Yasuki Kobayashi. (2010). Quality of care for diabetes patients using National Health Insurance claims data in Japan. Journal of Evaluation in Clinical Practice. 16(6). 1164–1169. 25 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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