Naoki Ikegami

7.8k total citations
113 papers, 4.1k citations indexed

About

Naoki Ikegami is a scholar working on General Health Professions, Economics and Econometrics and Finance. According to data from OpenAlex, Naoki Ikegami has authored 113 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in General Health Professions, 44 papers in Economics and Econometrics and 13 papers in Finance. Recurrent topics in Naoki Ikegami's work include Geriatric Care and Nursing Homes (30 papers), Healthcare Policy and Management (26 papers) and Health Systems, Economic Evaluations, Quality of Life (21 papers). Naoki Ikegami is often cited by papers focused on Geriatric Care and Nursing Homes (30 papers), Healthcare Policy and Management (26 papers) and Health Systems, Economic Evaluations, Quality of Life (21 papers). Naoki Ikegami collaborates with scholars based in Japan, United States and Canada. Naoki Ikegami's co-authors include John C. Campbell, John C. Campbell, Shunya Ikeda, Yukari Yamada, John P. Hirdes, Michael R. Reich, Shuzo Nishimura, Akinori Hisashige, Aki Tsuchiya and John N. Morris and has published in prestigious journals such as Science, New England Journal of Medicine and The Lancet.

In The Last Decade

Naoki Ikegami

108 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoki Ikegami Japan 33 2.1k 1.1k 690 545 501 113 4.1k
Dana B. Mukamel United States 52 4.2k 2.0× 2.0k 1.8× 675 1.0× 536 1.0× 667 1.3× 240 8.3k
Sally C. Stearns United States 43 2.6k 1.3× 1.5k 1.4× 550 0.8× 306 0.6× 324 0.6× 171 6.0k
Todd Gilmer United States 35 2.4k 1.2× 826 0.7× 331 0.5× 941 1.7× 253 0.5× 137 5.4k
Daniel Polsky United States 47 3.4k 1.6× 3.4k 3.1× 340 0.5× 492 0.9× 273 0.5× 255 8.4k
Cameron Mustard Canada 43 2.9k 1.4× 842 0.8× 553 0.8× 222 0.4× 125 0.2× 178 6.1k
Barbara Hanratty United Kingdom 37 2.6k 1.3× 610 0.6× 612 0.9× 324 0.6× 852 1.7× 201 6.3k
Cathy Schoen United States 40 4.4k 2.1× 3.3k 3.0× 322 0.5× 148 0.3× 361 0.7× 144 7.0k
Karen Davis United States 34 3.6k 1.8× 2.6k 2.4× 284 0.4× 250 0.5× 126 0.3× 223 5.3k
Gordon G. Liu China 30 1.2k 0.6× 1.2k 1.1× 222 0.3× 401 0.7× 466 0.9× 115 3.7k
Dimitris Niakas Greece 36 1.8k 0.9× 1.1k 1.0× 352 0.5× 234 0.4× 141 0.3× 170 4.7k

Countries citing papers authored by Naoki Ikegami

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Ikegami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Ikegami

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Ikegami. A scholar is included among the top collaborators of Naoki Ikegami 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 Naoki Ikegami. Naoki Ikegami 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.
Ikegami, Naoki. (2019). Japan: achieving UHC by regulating payment. Globalization and Health. 15(S1). 72–72. 12 indexed citations
2.
Ikegami, Naoki. (2015). Fee-for-Service Payment – An Evil Practice that Must Be Stamped Out?. Research Information System of Ardabil University of Medical Sciences (Ardabil University of Medical Sciences).
3.
Ikegami, Naoki. (2015). Fee-for-service payment – an evil practice that must be stamped out?. International Journal of Health Policy and Management. 4(2). 57–59. 35 indexed citations
4.
Sakamaki, Hiroyuki, et al.. (2015). Real-world cost analysis of chemotherapy for colorectal cancer in Japan: detailed costs of various regimens during the entire course of chemotherapy. BMC Health Services Research. 16(1). 2–2. 16 indexed citations
5.
Maeda, Akiko, Edson Araújo, Cheryl Cashin, et al.. (2014). Universal Health Coverage for Inclusive and Sustainable Development : A Synthesis of 11 Country Case Studies [Une couverture sanitaire universelle pour un développement durable inclusive : Une synthèse de 11 études de cas pays]. World Bank Publications. 9 indexed citations
7.
Ikegami, Naoki, et al.. (2010). Should the provision of home help services be contained?: Validation of the new preventive care policy in Japan. BMC Health Services Research. 10(1). 224–224. 24 indexed citations
8.
Berg, Katherine, Harriet Finne‐Soveri, Len Gray, et al.. (2009). Relationship between interRAI HC and the ICF: opportunity for operationalizing the ICF. BMC Health Services Research. 9(1). 47–47. 18 indexed citations
9.
Feng, Zhanlian, John P. Hirdes, Trevor F. Smith, et al.. (2009). Use of physical restraints and antipsychotic medications in nursing homes: a cross‐national study. International Journal of Geriatric Psychiatry. 24(10). 1110–1118. 142 indexed citations
10.
Ikegami, Naoki. (2007). The Japanese Health Care System?Achieving Equity and Containing Costs Through a Single Payment System. The American Heart Hospital Journal. 5(1). 27–31. 2 indexed citations
11.
Yamada, Yukari, et al.. (2006). Prevalence of inappropriate medication using Beers criteria in Japanese long-term care facilities. BMC Geriatrics. 6(1). 1–1. 130 indexed citations
12.
Yamauchi, Keita, et al.. (2006). Do staffing levels determine outcome in psychiatric inpatient care? – Factors related to the ratio of period hospitalized in Japan. Psychiatry and Clinical Neurosciences. 60(6). 709–717. 3 indexed citations
13.
Sakamaki, Hiroyuki, Shunya Ikeda, & Naoki Ikegami. (2004). . Iryo To Shakai. 14(2). 71–84.
14.
Ikegami, Naoki, Keita Yamauchi, & Yukari Yamada. (2003). The long term care insurance law in Japan: impact on institutional care facilities. International Journal of Geriatric Psychiatry. 18(3). 217–221. 41 indexed citations
15.
Ikegami, Naoki, John P. Hirdes, & Iain Carpenter. (2001). Long-term care: A complex challenge. Kent Academic Repository (University of Kent). 27–29. 1 indexed citations
16.
Ikeda, Shunya, Yukari Yamada, & Naoki Ikegami. (2000). Economic Evaluation of Donepezil Treatment for Alzheimer's Disease in Japan. Iryo To Shakai. 10(3). 27–38. 1 indexed citations
17.
Ikeda, Shunya & Naoki Ikegami. (1999). Health Status in Japanese Population:. Iryo To Shakai. 9(3). 83–92. 23 indexed citations
18.
Ikegami, Naoki, et al.. (1999). Effect of Japanese Government Policy on Hospital Pharmaceutical Profit Levels. Journal of Health Services Research & Policy. 4(1). 27–32. 1 indexed citations
19.
Tsuchiya, Aki, Toshihiko Hasegawa, Shuzo Nishimura, et al.. (1998). A Validity Study of the Japanese EuroQol Instrument. Iryo To Shakai. 8(1). 67–77. 5 indexed citations
20.
Nishimura, Shuzo, Aki Tsuchiya, Akinori Hisashige, Naoki Ikegami, & Shunya Ikeda. (1998). The development of the Japanese EuroQol Instrument. Iryo To Shakai. 8(1). 109–123. 78 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026