Shinzo Hiroi

1.0k total citations
47 papers, 789 citations indexed

About

Shinzo Hiroi is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Shinzo Hiroi has authored 47 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Epidemiology and 7 papers in Surgery. Recurrent topics in Shinzo Hiroi's work include Diabetes Treatment and Management (12 papers), Diabetes Management and Research (7 papers) and Pharmaceutical Practices and Patient Outcomes (5 papers). Shinzo Hiroi is often cited by papers focused on Diabetes Treatment and Management (12 papers), Diabetes Management and Research (7 papers) and Pharmaceutical Practices and Patient Outcomes (5 papers). Shinzo Hiroi collaborates with scholars based in Japan, United States and France. Shinzo Hiroi's co-authors include Kohei Kaku, Masashi Hirayama, Yutaka Seino, Yukio Shimasaki, Tetsuya Fujita, Kosuke Iwasaki, Tsuyoshi Araki, Koji Kawakami, Shiro Tanaka and Kentaro Sugano and has published in prestigious journals such as Blood, Atherosclerosis and BMJ Open.

In The Last Decade

Shinzo Hiroi

44 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinzo Hiroi Japan 16 434 248 203 124 97 47 789
Min Zhuo United States 16 270 0.6× 123 0.5× 165 0.8× 39 0.3× 100 1.0× 38 764
Kenzo Oba Japan 14 379 0.9× 172 0.7× 137 0.7× 121 1.0× 152 1.6× 56 761
Alistair Roddick United Kingdom 6 360 0.8× 225 0.9× 131 0.6× 36 0.3× 288 3.0× 14 770
F. Heller Belgium 15 202 0.5× 348 1.4× 144 0.7× 67 0.5× 98 1.0× 51 709
Sean L. Zheng United Kingdom 11 322 0.7× 237 1.0× 145 0.7× 49 0.4× 480 4.9× 27 983
Konstantinos Malandris Greece 12 545 1.3× 214 0.9× 259 1.3× 27 0.2× 53 0.5× 36 857
Cindy Kortepeter United States 15 144 0.3× 97 0.4× 88 0.4× 139 1.1× 57 0.6× 30 787
Evgenia Gourgari United States 14 551 1.3× 317 1.3× 148 0.7× 46 0.4× 108 1.1× 37 858
I.J.A.M. Jonkers Netherlands 13 210 0.5× 223 0.9× 105 0.5× 46 0.4× 110 1.1× 18 541
Louise A. Donnelly United Kingdom 15 1.1k 2.6× 343 1.4× 373 1.8× 63 0.5× 148 1.5× 26 1.5k

Countries citing papers authored by Shinzo Hiroi

Since Specialization
Citations

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

Fields of papers citing papers by Shinzo Hiroi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinzo Hiroi

This figure shows the co-authorship network connecting the top 25 collaborators of Shinzo Hiroi. A scholar is included among the top collaborators of Shinzo Hiroi 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 Shinzo Hiroi. Shinzo Hiroi 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
2.
Hasegawa‐Moriyama, Maiko, Yasuhide Morioka, Shinzo Hiroi, et al.. (2024). High prevalence of severe pain is associated with low opioid availability in patients with advanced cancer: Combined database study and nationwide questionnaire survey in Japan. Neuropsychopharmacology Reports. 44(3). 502–511. 4 indexed citations
3.
Iwasaki, Kosuke, Mitsunori Miyashita, Toshiaki Saeki, et al.. (2023). Opioid prescriptions at the point of surgery, bone metastasis, or death among patients with breast cancer in Japanese acute care hospitals: a claims-based, retrospective, longitudinal study. Supportive Care in Cancer. 31(6). 369–369. 1 indexed citations
4.
Shimizu, Eiji, et al.. (2022). Diagnosis and treatment of influenza based on health insurance claims between the 2010–2011 and 2019–2020 influenza seasons in Japan. Influenza and Other Respiratory Viruses. 16(4). 621–625. 3 indexed citations
5.
Hiroi, Shinzo, et al.. (2022). Comparison of Inconvenience Costs Between Influenza Antivirals for Japanese Pediatric Patients: A Conjoint Analysis of Parental Responses. Advances in Therapy. 39(4). 1724–1742. 5 indexed citations
6.
Suda, Takafumi, et al.. (2022). Current treatment status of patients with idiopathic pulmonary fibrosis in Japan based on a claims database analysis. Respiratory Investigation. 60(6). 806–814. 4 indexed citations
7.
Kondoh, Yasuhiro, et al.. (2022). Prevalence of idiopathic pulmonary fibrosis in Japan based on a claims database analysis. Respiratory Research. 23(1). 24–24. 17 indexed citations
9.
10.
Nishimura, Rimei, et al.. (2019). Treatment patterns, persistence and adherence rates in patients with type 2 diabetes mellitus in Japan: a claims-based cohort study. BMJ Open. 9(3). e025806–e025806. 79 indexed citations
11.
Kawachi, Izumi, Shu‐ichi Okamoto, Hiroyuki Ohta, et al.. (2019). Recent transition of medical cost and relapse rate of multiple sclerosis in Japan based on analysis of a health insurance claims database. BMC Neurology. 19(1). 324–324. 7 indexed citations
13.
Ogino, Mieko, Izumi Kawachi, Kazuyoshi Otake, et al.. (2016). Current treatment status and medical cost for multiple sclerosis based on analysis of a Japanese claims database. Clinical and Experimental Neuroimmunology. 7(2). 158–167. 14 indexed citations
14.
Hiroi, Shinzo, Yukio Shimasaki, Takashi Kikuchi, et al.. (2016). Analysis of second- and third-line antihypertensive treatments after initial therapy with an angiotensin II receptor blocker using real-world Japanese data. Hypertension Research. 39(12). 907–912. 10 indexed citations
15.
Ogino, Mieko, Aki Shiozawa, Hiroyuki Ohta, et al.. (2016). Prevalence and Patient Characteristics of Multiple Sclerosis (Ms) in Japan. Value in Health. 19(7). A873–A873. 1 indexed citations
16.
Hiroi, Shinzo, et al.. (2015). Study on Cost-Effectiveness Analysis for Treatment of Major Depression Disease: a Systematic Review of Literature From 2004-2014. Value in Health. 18(7). A410–A410. 1 indexed citations
17.
Seino, Yutaka, Shinzo Hiroi, Masashi Hirayama, & Kohei Kaku. (2012). Efficacy and safety of alogliptin added to sulfonylurea in Japanese patients with type 2 diabetes: A randomized, double‐blind, placebo‐controlled trial with an open‐label, long‐term extension study. Journal of Diabetes Investigation. 3(6). 517–525. 28 indexed citations
19.
Araki, Tsuyoshi, Masashi Hirayama, Shinzo Hiroi, & Kohei Kaku. (2011). GPR40‐induced insulin secretion by the novel agonist TAK‐875: first clinical findings in patients with type 2 diabetes. Diabetes Obesity and Metabolism. 14(3). 271–278. 83 indexed citations
20.
Seino, Yutaka, Tetsuya Fujita, Shinzo Hiroi, Masashi Hirayama, & Kohei Kaku. (2011). Alogliptin plus voglibose in Japanese patients with type 2 diabetes: a randomized, double-blind, placebo-controlled trial with an open-label, long-term extension. Current Medical Research and Opinion. 27(sup3). 21–29. 51 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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