Ai Oishi

1.6k total citations · 1 hit paper
17 papers, 802 citations indexed

About

Ai Oishi is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ai Oishi has authored 17 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 8 papers in General Health Professions and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ai Oishi's work include Palliative Care and End-of-Life Issues (10 papers), Patient Dignity and Privacy (6 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). Ai Oishi is often cited by papers focused on Palliative Care and End-of-Life Issues (10 papers), Patient Dignity and Privacy (6 papers) and Childhood Cancer Survivors' Quality of Life (5 papers). Ai Oishi collaborates with scholars based in United Kingdom, Japan and Portugal. Ai Oishi's co-authors include Greg Irving, Fliss EM Murtagh, Hajira Dambha‐Miller, Ana Luísa Neves, John Holden, Yoshiyuki Kizawa, Jun Hamano, Shingo Miyamoto, Eisuke Matsushima and Hiroyuki Otani and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ Open and Journal of Pain and Symptom Management.

In The Last Decade

Ai Oishi

16 papers receiving 783 citations

Hit Papers

International variations in primary care physician consul... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Oishi United Kingdom 9 364 340 103 90 88 17 802
Elizabeth L. Ciemins United States 16 287 0.8× 377 1.1× 105 1.0× 98 1.1× 71 0.8× 55 872
Kimberly Manalili Canada 10 614 1.7× 258 0.8× 101 1.0× 102 1.1× 105 1.2× 20 985
Cristina C. Hendrix United States 16 472 1.3× 314 0.9× 101 1.0× 105 1.2× 99 1.1× 61 979
Laura C. Feemster United States 18 343 0.9× 417 1.2× 113 1.1× 148 1.6× 54 0.6× 66 1.3k
Charles Rareshide United States 19 427 1.2× 345 1.0× 59 0.6× 68 0.8× 122 1.4× 44 1.1k
Scott Frank United States 17 375 1.0× 250 0.7× 82 0.8× 110 1.2× 76 0.9× 41 869
Anita D. Misra‐Hebert United States 19 424 1.2× 290 0.9× 42 0.4× 114 1.3× 95 1.1× 67 1.3k
Dawn M. Finnie United States 12 309 0.8× 176 0.5× 106 1.0× 153 1.7× 132 1.5× 28 763
Sandra Zelinsky Canada 11 574 1.6× 209 0.6× 44 0.4× 87 1.0× 82 0.9× 25 943
Lindsey M. Philpot United States 15 222 0.6× 186 0.5× 66 0.6× 103 1.1× 67 0.8× 63 841

Countries citing papers authored by Ai Oishi

Since Specialization
Citations

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

Fields of papers citing papers by Ai Oishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Oishi

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

All Works

17 of 17 papers shown
1.
Oishi, Ai, Jun Hamano, Kirsty Boyd, & Scott Murray. (2022). Translation and Cross-Cultural Adaptation of the Supportive and Palliative Care Indicators Tool into Japanese: A Preliminary Report. SHILAP Revista de lepidopterología. 3(1). 1–5. 5 indexed citations
2.
Son, Daisuke, Ai Oishi, & Shin‐ichi Taniguchi. (2022). The experience of providing end‐of‐life care at home: The emotional experiences of young family physicians. Journal of General and Family Medicine. 23(6). 376–383. 2 indexed citations
3.
Oishi, Ai, et al.. (2022). Self-perceived Burden for People With Life-threatening Illness: A Qualitative Systematic Review. Journal of Pain and Symptom Management. 65(3). e207–e217. 13 indexed citations
4.
Kaneko, Makoto, Sayuri Shimizu, Ai Oishi, & Kiyohide Fushimi. (2022). Impact of COVID-19 infection rates on admissions for ambulatory care sensitive conditions: nationwide difference-in-difference design in Japan. Family Medicine and Community Health. 10(4). e001736–e001736. 4 indexed citations
5.
Kaneko, Makoto, et al.. (2021). Perspectives on expert generalist practice among Japanese family doctor educators: a qualitative study. BJGP Open. 5(3). BJGPO.2021.0011–BJGPO.2021.0011. 3 indexed citations
6.
Sakurai, Hiroki, Mitsunori Miyashita, Tatsuya Morita, et al.. (2021). Comparison between patient-reported and clinician-reported outcomes: Validation of the Japanese version of the Integrated Palliative care Outcome Scale for staff. Palliative & Supportive Care. 19(6). 702–708. 11 indexed citations
7.
Hamano, Jun, Ai Oishi, Tatsuya Morita, & Yoshiyuki Kizawa. (2020). Frequency of discussing and documenting advance care planning in primary care: secondary analysis of a multicenter cross-sectional observational study. BMC Palliative Care. 19(1). 32–32. 8 indexed citations
8.
Kaneko, Makoto, et al.. (2019). Research evidence is essential for the development of family medicine as a discipline in the Japanese healthcare system. BJGP Open. 3(2). bjgpopen19X101650–bjgpopen19X101650. 7 indexed citations
9.
Haruta, Junji, et al.. (2019). How and what do laypeople learn about end-of-life care using narrative? A case study in educational research. The Asia Pacific Scholar. 5(1). 16–24. 1 indexed citations
10.
Haruta, Junji, et al.. (2018). A cross-sectional survey of interprofessional education across 13 healthcare professions in Japan. The Asia Pacific Scholar. 3(2). 38–46. 5 indexed citations
11.
Hamano, Jun, Ai Oishi, & Yoshiyuki Kizawa. (2018). Prevalence and Characteristics of Patients Being at Risk of Deteriorating and Dying in Primary Care. Journal of Pain and Symptom Management. 57(2). 266–272.e1. 14 indexed citations
12.
Hamano, Jun, Ai Oishi, & Yoshiyuki Kizawa. (2018). Identified Palliative Care Approach Needs with SPICT in Family Practice: A Preliminary Observational Study. Journal of Palliative Medicine. 21(7). 992–998. 20 indexed citations
13.
Sakurai, Hiroki, Mitsunori Miyashita, Kengo Imai, et al.. (2018). Validation of the Integrated Palliative care Outcome Scale (IPOS) – Japanese Version. Japanese Journal of Clinical Oncology. 49(3). 257–262. 71 indexed citations
14.
Irving, Greg, et al.. (2017). International variations in primary care physician consultation time: a systematic review of 67 countries.. Oxford University Research Archive (ORA) (University of Oxford).
15.
Irving, Greg, et al.. (2017). International variations in primary care physician consultation time: a systematic review of 67 countries. BMJ Open. 7(10). e017902–e017902. 485 indexed citations breakdown →
16.
Oishi, Ai, et al.. (2016). Cross-cultural adaptation of the professional version of the Readiness for Interprofessional Learning Scale (RIPLS) in Japanese. Journal of Interprofessional Care. 31(1). 85–90. 14 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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