Y Akanuma

14.0k total citations · 1 hit paper
87 papers, 7.5k citations indexed

About

Y Akanuma is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Y Akanuma has authored 87 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 31 papers in Endocrinology, Diabetes and Metabolism and 24 papers in Surgery. Recurrent topics in Y Akanuma's work include Metabolism, Diabetes, and Cancer (37 papers), Pancreatic function and diabetes (19 papers) and Diabetes and associated disorders (14 papers). Y Akanuma is often cited by papers focused on Metabolism, Diabetes, and Cancer (37 papers), Pancreatic function and diabetes (19 papers) and Diabetes and associated disorders (14 papers). Y Akanuma collaborates with scholars based in Japan, United States and United Kingdom. Y Akanuma's co-authors include Takashi Kadowaki, Kohjiro Ueki, Satoshi Kimura, Masato Kasuga, R Nagai, Barbara B. Kahn, Yusuke Ito, Mitsuhiko Noda, Yasuhiko Minokoshi and Shunbun Kita and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Y Akanuma

83 papers receiving 7.2k citations

Hit Papers

Adiponectin stimulates glucose utilization and fatty-acid... 2002 2026 2010 2018 2002 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Adiponectin stimulates glucose utilization and fatty-acid oxidation by activating AMP-activated protein kinase
    2002 3.4k citations Kohjiro Ueki, Y Akanuma et al. profile →

Peers

Y Akanuma
Fausto Machicao Germany
Theodore P. Ciaraldi United States
Hans Häring Germany
W. Timothy Garvey United States
K. Teoman Uysal United States
Takehide Ogihara Japan
Alyssa H. Hasty United States
Boris Draznin United States
Renato Lauro Italy
David B. Savage United Kingdom
Fausto Machicao Germany
Y Akanuma
Citations per year, relative to Y Akanuma Y Akanuma (= 1×) peers Fausto Machicao

Countries citing papers authored by Y Akanuma

Since Specialization
Citations

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

Fields of papers citing papers by Y Akanuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Akanuma

This figure shows the co-authorship network connecting the top 25 collaborators of Y Akanuma. A scholar is included among the top collaborators of Y Akanuma 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 Y Akanuma. Y Akanuma 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.
Tanaka, Shiro, Ryo Kawasaki, Sachiko Tanaka‐Mizuno, et al.. (2017). Severe hypoglycaemia is a major predictor of incident diabetic retinopathy in Japanese patients with type 2 diabetes. Diabetes & Metabolism. 43(5). 424–429. 6 indexed citations
2.
3.
Katayama, Shigehiro, Tatsumi Moriya, Shiro Tanaka, et al.. (2011). Low transition rate from normo- and low microalbuminuria to proteinuria in Japanese type 2 diabetic individuals: the Japan Diabetes Complications Study (JDCS). Diabetologia. 54(5). 1025–1031. 51 indexed citations
4.
Hara, Kazuo, Kazuyuki Tobe, Tsuneo Okada, et al.. (2002). A genetic variation in the PGC-1 gene could confer insulin resistance and susceptibility to Type II diabetes. Diabetologia. 45(5). 740–743. 187 indexed citations
5.
Sone, Hirohito, Shun Ishibashi, Yoshihiko Saito, et al.. (2002). Effects of Lifestyle Modifications on Patients with Type 2 Diabetes: The Japan Diabetes Complications Study (JDCS) Study Design, Baseline Analysis and Three Year-Interim Report. Hormone and Metabolic Research. 34(9). 509–515. 86 indexed citations
6.
Yoshida, Yoko, et al.. (2001). Risk factors for the development of diabetic retinopathy in Japanese type 2 diabetic patients. Diabetes Research and Clinical Practice. 51(3). 195–203. 42 indexed citations
7.
8.
Yamada, N, Yoshiro Saito, & Y Akanuma. (2000). Effect of itavastatin on lipid metabolism in NIDDM patients with hyperlipidemia. Atherosclerosis. 151(1). 48–49. 2 indexed citations
9.
Takahashi, Yutaka, Hiroaki Kadowaki, A Ando, et al.. (1998). Two aberrant splicings caused by mutations in the insulin receptor gene in cultured lymphocytes from a patient with Rabson-Mendenhall's syndrome.. Journal of Clinical Investigation. 101(3). 588–594. 15 indexed citations
10.
11.
Takahashi, Yutaka, Hiroaki Kadowaki, K. Momomura, et al.. (1997). A homozygous kinase-defective mutation in the insulin receptor gene in a patient with leprechaunism. Diabetologia. 40(4). 412–420. 52 indexed citations
12.
13.
Shimokawa, Koya, Hiroaki Kadowaki, H Sakura, et al.. (1994). Molecular Scanning of the Glycogen Synthase and Insulin Receptor Substrate-1 Genes in Japanese Subjects with Non-Insulin-Dependent Diabetes Mellitus. Biochemical and Biophysical Research Communications. 202(1). 463–469. 29 indexed citations
14.
Kosáka, Kinori & Y Akanuma. (1994). Historical changes in diabetes therapy in Japan. Diabetes Research and Clinical Practice. 24. S221–S227. 3 indexed citations
15.
Kim, Hyungjun, Hiroaki Kadowaki, H Sakura, et al.. (1992). Detection of mutations in the insulin receptor gene in patients with insulin resistance by analysis of single-stranded conformational polymorphisms. Diabetologia. 35(3). 261–266. 56 indexed citations
16.
Sakura, H, Megumi Kishimoto, Y Akanuma, et al.. (1991). Polymorphism in exon 4a of the human GLUT4/ muscle-fat facilitative glucose transporter gene detected by SSCP. Nucleic Acids Research. 19(15). 4313–4313. 6 indexed citations
17.
Gotoda, Takanari, N Yamada, Hitoshi Shimano, et al.. (1991). Differential phenotypic expression by three mutant alleles in familial lecithin:cholesterol acyltransferase deficiency. The Lancet. 338(8770). 778–781. 65 indexed citations
18.
Shibasaki, Manabu, Yoshikazu Shibasaki, Tomoichiro Asano, et al.. (1990). Overexpression of glucose transporter modulates insulin biosynthesis in insulin producing cell line. FEBS Letters. 270(1-2). 105–107. 8 indexed citations
19.
Yamanouchi, Toshikazu, Hiroshi Akanuma, Takuya Nakamura, I Akaoka, & Y Akanuma. (1988). Reduction of plasma 1,5-anhydroglucitol (1-deoxyglucose) concentration in diabetic patients. Diabetologia. 31(1). 41–45. 63 indexed citations
20.
Akanuma, Y, et al.. (1988). Urinary excretion of 1,5-anhydro-D-glucitol accompanying glucose excretion in diabetic patients. Diabetologia. 31(11). 831–5. 74 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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