Takuya Saiki

686 total citations
47 papers, 415 citations indexed

About

Takuya Saiki is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Psychiatry and Mental health. According to data from OpenAlex, Takuya Saiki has authored 47 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Public Health, Environmental and Occupational Health, 15 papers in General Health Professions and 7 papers in Psychiatry and Mental health. Recurrent topics in Takuya Saiki's work include Innovations in Medical Education (27 papers), Interprofessional Education and Collaboration (8 papers) and Medical Education and Admissions (6 papers). Takuya Saiki is often cited by papers focused on Innovations in Medical Education (27 papers), Interprofessional Education and Collaboration (8 papers) and Medical Education and Admissions (6 papers). Takuya Saiki collaborates with scholars based in Japan, United States and Australia. Takuya Saiki's co-authors include Rintarō Imafuku, Yasuyuki Suzuki, Chihiro Kawakami, Nobutaro Ban, Kazuhiko Fujisaki, Masayuki Ohta, Kyoko Morita, Toshiro Saito, Kazuhito Rokutan and Tomoko Kawai and has published in prestigious journals such as Clinical Journal of the American Society of Nephrology, BMJ Open and The Journal of Biochemistry.

In The Last Decade

Takuya Saiki

40 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuya Saiki Japan 12 211 110 104 56 36 47 415
Götz Fabry Germany 11 227 1.1× 87 0.8× 153 1.5× 71 1.3× 86 2.4× 39 424
Lana Al‐Nusair United Kingdom 3 220 1.0× 178 1.6× 77 0.7× 39 0.7× 44 1.2× 6 557
Jane McHarg United Kingdom 9 272 1.3× 94 0.9× 105 1.0× 25 0.4× 58 1.6× 14 399
Lavandan Jegatheeswaran United Kingdom 5 97 0.5× 44 0.4× 95 0.9× 24 0.4× 22 0.6× 15 335
Marinos G. Sotiropoulos United States 8 203 1.0× 55 0.5× 98 0.9× 34 0.6× 23 0.6× 15 555
Maria Nakhoul United States 4 98 0.5× 44 0.4× 95 0.9× 24 0.4× 22 0.6× 9 325
Daniel Bender United States 12 152 0.7× 165 1.5× 111 1.1× 23 0.4× 11 0.3× 17 462
Amal Minocha United Kingdom 5 97 0.5× 44 0.4× 95 0.9× 24 0.4× 22 0.6× 9 335
Duck Sun Ahn South Korea 13 299 1.4× 65 0.6× 179 1.7× 70 1.3× 41 1.1× 73 574
Karen E. Adams United States 10 152 0.7× 49 0.4× 89 0.9× 37 0.7× 25 0.7× 20 369

Countries citing papers authored by Takuya Saiki

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Saiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Saiki

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Saiki. A scholar is included among the top collaborators of Takuya Saiki 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 Takuya Saiki. Takuya Saiki 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.
Kawakami, Chihiro, et al.. (2025). Rapidly Rising Preference among New-entry Medical Students for Using Generative Artificial Intelligence in Reflective Reports. JMA Journal. 8(2). 465–469. 1 indexed citations
2.
Kasai, Hajime, Rintarō Imafuku, Kiyoshi Shikino, et al.. (2025). Learning Through Oral Case Presentations and Impact on Medical Students' Clinical Training and Career Development: A Mixed‐Method Study. The Clinical Teacher. 22(6). e70242–e70242.
3.
Ito, Takayasu, Osamu Nomura, Katsuki Hirai, Hiroaki Ushikoshi, & Takuya Saiki. (2025). Reduced Test Anxiety Among Medical Students in an Extremely Low-Stakes Examination. Medical Science Educator. 35(5). 2647–2652.
4.
Imafuku, Rintarō, et al.. (2024). Who you are and who you want to be: a pilot study of dental hygiene students' professional identity formation. BMC Medical Education. 24(1). 1035–1035. 1 indexed citations
5.
Imafuku, Rintarō, et al.. (2024). Exploring the cognitive processes of pharmacy students when writing reflective reports. Reflective Practice. 26(2). 185–200.
6.
Onoue, Takeshi, Rintarō Imafuku, Seisyou Kou, et al.. (2024). Developing competencies relating to information science and technology in Japanese undergraduate medical education. Medical Teacher. 46(sup1). S31–S37. 3 indexed citations
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Imai, Takeharu, Yoshihiro Tanaka, Yuji Hatanaka, et al.. (2022). Incorporation of virtual reality in the clinical training of medical students studying esophageal and mediastinal anatomy and surgery. Surgery Today. 52(8). 1212–1217. 15 indexed citations
11.
Imafuku, Rintarō, et al.. (2021). Physicians’ perceptions of followership in resuscitation in Japan and the USA: a qualitative study. BMJ Open. 11(8). e047860–e047860. 4 indexed citations
12.
Saiki, Takuya, et al.. (2021). Influence of national culture on mentoring relationship: a qualitative study of Japanese physician-scientists. BMC Medical Education. 21(1). 300–300. 13 indexed citations
13.
Yoshimura, Manabu, Takuya Saiki, Rintarō Imafuku, Kazuhiko Fujisaki, & Yasuyuki Suzuki. (2020). Experiential learning of overnight home care by medical trainees for professional development: an exploratory study. International Journal of Medical Education. 11. 146–154. 5 indexed citations
14.
Ito, Sadayoshi, et al.. (2019). Efficacy and Safety of Imarikiren in Patients with Type 2 Diabetes and Microalbuminuria. Clinical Journal of the American Society of Nephrology. 14(3). 354–363. 4 indexed citations
15.
Nakamura, Kōichi, et al.. (2016). How Do Male and Female Medical Students Perceive Their Own Career? Implications from a Student Viewpoint. An Official Journal of the Japan Primary Care Association. 39(4). 198–204.
16.
Imafuku, Rintarō, Takuya Saiki, & Yasuyuki Suzuki. (2016). Developing Undergraduate Research in Japanese Medical Education. 37(1). 3 indexed citations
17.
Fujitani, Shigeki, et al.. (2015). Past-behavioural versus situational questions in a postgraduate admissions multiple mini-interview: a reliability and acceptability comparison. BMC Medical Education. 15(1). 75–75. 18 indexed citations
18.
Saiki, Takuya, Hiroshi Nishigori, & Nobuo Nara. (2012). A Clerkship based on Legitimate Peripheral Participation : A case study of McGill University. 43(2). 79–85.
19.
Saiki, Takuya, Kei Mukohara, Takashi Otani, & Nobutaro Ban. (2011). Can Japanese students embrace learner-centered methods for teaching medical interviewing skills? Focus groups. Medical Teacher. 33(2). e69–e74. 8 indexed citations
20.
Saiki, Takuya, Tomoko Kawai, Kyoko Morita, et al.. (2008). Identification of Marker Genes for Differential Diagnosis of Chronic Fatigue Syndrome. Molecular Medicine. 14(9-10). 599–607. 49 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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2026