Hiroshi Ikegami

11.8k total citations · 1 hit paper
216 papers, 6.9k citations indexed

About

Hiroshi Ikegami is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hiroshi Ikegami has authored 216 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Genetics, 100 papers in Surgery and 93 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hiroshi Ikegami's work include Diabetes and associated disorders (98 papers), Pancreatic function and diabetes (90 papers) and Diabetes Management and Research (60 papers). Hiroshi Ikegami is often cited by papers focused on Diabetes and associated disorders (98 papers), Pancreatic function and diabetes (90 papers) and Diabetes Management and Research (60 papers). Hiroshi Ikegami collaborates with scholars based in Japan, United States and South Korea. Hiroshi Ikegami's co-authors include Toshio Ogihara, Tomomi Fujisawa, Yumiko Kawabata, Eiji Yamato, Jun‐ichi Miyazaki, Shinsuke Noso, Yoshikazu Shibasaki, Tomoichiro Asano, Yoshitomo Oka and Ken–ichi Yamamura and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Hiroshi Ikegami

207 papers receiving 6.8k citations

Hit Papers

Establishment of a Pancreatic β Cell Line That Retains Gl... 1990 2026 2002 2014 1990 250 500 750 1000

Peers

Hiroshi Ikegami
Hiroshi Ikegami
Citations per year, relative to Hiroshi Ikegami Hiroshi Ikegami (= 1×) peers C. Bruce Verchere

Countries citing papers authored by Hiroshi Ikegami

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Ikegami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Ikegami

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Ikegami. A scholar is included among the top collaborators of Hiroshi 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 Hiroshi Ikegami. Hiroshi 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.
Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). New diagnostic criteria (2023) for slowly progressive type 1 diabetes (SPIDDM): Report from Committee on Type 1 Diabetes of the Japan Diabetes Society (English version). Journal of Diabetes Investigation. 15(2). 254–257. 8 indexed citations
2.
Shimada, Akira, Eiji Kawasaki, Norio Abiru, et al.. (2024). Practice guideline: Statement regarding treatment for suspected slowly progressive type 1 diabetes (SPIDDM; probable) cases (English version). Journal of Diabetes Investigation. 16(1). 163–168.
3.
Babaya, Naru, Yoshihisa Hiromine, Ippei Matsumoto, et al.. (2023). High Incidence of Diabetes Mellitus After Distal Pancreatectomy and Its Predictors: A Long-term Follow-up Study. The Journal of Clinical Endocrinology & Metabolism. 109(3). 619–630. 9 indexed citations
4.
Kawasaki, Eiji, Akira Shimada, Akihisa Imagawa, et al.. (2023). Bivalent GAD autoantibody ELISA improves clinical utility and risk prediction for adult autoimmune diabetes. Journal of Diabetes Investigation. 14(4). 570–581. 7 indexed citations
6.
Noso, Shinsuke, et al.. (2022). Metabolic signatures of β‐cell destruction in type 1 diabetes. Journal of Diabetes Investigation. 14(1). 48–57. 5 indexed citations
7.
Babaya, Naru, Yoshihisa Hiromine, Ippei Matsumoto, et al.. (2021). Glucose Metabolism After Pancreatectomy: Opposite Extremes Between Pancreaticoduodenectomy and Distal Pancreatectomy. The Journal of Clinical Endocrinology & Metabolism. 106(5). e2203–e2214. 16 indexed citations
8.
Noso, Shinsuke, et al.. (2021). Associations between genetic loci related to lean mass and body composition in type 2 diabetes. Geriatrics and gerontology international. 21(10). 932–938. 4 indexed citations
9.
Babaya, Naru, Shinsuke Noso, Yoshihisa Hiromine, et al.. (2021). Oncocytic Adrenocortical Carcinoma With Low 18F-FDG Uptake and the Absence of Glucose Transporter 1 Expression. Journal of the Endocrine Society. 5(11). bvab143–bvab143. 2 indexed citations
10.
Babaya, Naru, Hiroyuki Ito, Yoshihisa Hiromine, et al.. (2021). Mixed Corticomedullary Tumor Accompanied by Unilateral Aldosterone-Producing Adrenocortical Micronodules: A Case Report. Journal of the Endocrine Society. 5(10). bvab140–bvab140. 1 indexed citations
11.
Babaya, Naru, et al.. (2020). Flash glucose monitoring in type 1 diabetes: A comparison with self‐monitoring blood glucose. Journal of Diabetes Investigation. 11(5). 1222–1229. 9 indexed citations
12.
Babaya, Naru, Shinsuke Noso, Yoshihisa Hiromine, et al.. (2020). A Rare Case of Adrenal Cysts Associated With Bilateral Incidentalomas and Diffuse Hyperplasia of the Zona Glomerulosa. Journal of the Endocrine Society. 5(2). bvaa184–bvaa184. 2 indexed citations
13.
Kashiwabara, Kosuke, Yosuke Hirakawa, Tetsuhiro Tanaka, et al.. (2020). Conditions, pathogenesis, and progression of diabetic kidney disease and early decliner in Japan. BMJ Open Diabetes Research & Care. 8(1). e000902–e000902. 36 indexed citations
14.
Noso, Shinsuke, et al.. (2020). Clinical and genetic determinants of urinary glucose excretion in patients with diabetes mellitus. Journal of Diabetes Investigation. 12(5). 728–737. 5 indexed citations
15.
Noso, Shinsuke, Naru Babaya, Yoshihisa Hiromine, et al.. (2019). Contribution of Asian Haplotype of KCNJ18 to Susceptibility to and Ethnic Differences in Thyrotoxic Periodic Paralysis. The Journal of Clinical Endocrinology & Metabolism. 104(12). 6338–6344. 5 indexed citations
16.
Ito, Hiroyuki, Shinsuke Noso, Naru Babaya, et al.. (2017). Effects of dosage and dosing frequency on the efficacy and safety of high‐dose metformin in Japanese patients with type 2 diabetes mellitus. Journal of Diabetes Investigation. 9(3). 587–593. 37 indexed citations
17.
Hiromine, Yoshihisa, Shinsuke Noso, Naru Babaya, et al.. (2017). Insulin deficiency with and without glucagon: A comparative study between total pancreatectomy and type 1 diabetes. Journal of Diabetes Investigation. 9(5). 1084–1090. 22 indexed citations
18.
Ueda, Hironori, Hiroshi Ikegami, Eiji Yamato, et al.. (1995). The NSY mouse: a new animal model of spontaneous NIDDM with moderate obesity. Diabetologia. 38(5). 503–508. 91 indexed citations
19.
Fujisawa, Tomomi, Hiroshi Ikegami, Eiji Yamato, et al.. (1995). A mutation in the glucagon receptor gene (Gly40Ser): heterogeneity in the association with diabetes mellitus. Diabetologia. 38(8). 983–985. 30 indexed citations
20.
Fujisawa, Tomomi, Hiroshi Ikegami, Eiji Yamato, et al.. (1995). A mutation in the glucagon receptor gene (Gly40Ser): heterogeneity in the association with diabetes mellitus. Diabetologia. 38(8). 983–985. 1 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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