Mayumi Enya

484 total citations
22 papers, 388 citations indexed

About

Mayumi Enya is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Mayumi Enya has authored 22 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Surgery. Recurrent topics in Mayumi Enya's work include Pancreatic function and diabetes (7 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Diabetes Treatment and Management (4 papers). Mayumi Enya is often cited by papers focused on Pancreatic function and diabetes (7 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Diabetes Treatment and Management (4 papers). Mayumi Enya collaborates with scholars based in Japan, United States and Poland. Mayumi Enya's co-authors include Yukio Horikawa, Jun Takeda, Kazuya Yamagata, Katsumi Iizuka, Yasuhiko Iwamoto, Yuichiro Yamada, Naoko Iwasaki, Atsunori Kashiwagi, Ken Yamamoto and Kazuki Yasuda and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Radiology and Human Mutation.

In The Last Decade

Mayumi Enya

22 papers receiving 382 citations

Peers

Mayumi Enya
Nathan S. Doyle Australia
Mayumi Enya
Citations per year, relative to Mayumi Enya Mayumi Enya (= 1×) peers Nathan S. Doyle

Countries citing papers authored by Mayumi Enya

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Enya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Enya

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Enya. A scholar is included among the top collaborators of Mayumi Enya 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 Mayumi Enya. Mayumi Enya 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.
Yoshiji, Satoshi, Yukio Horikawa, Mayumi Enya, et al.. (2021). Identification of the first Japanese family with PDX1-MODY (MODY4): a novel PDX1 frameshift mutation, clinical characteristics, and implications. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
2.
Yoshiji, Satoshi, Yukio Horikawa, Mayumi Enya, et al.. (2021). First Japanese Family With PDX1-MODY (MODY4): A Novel PDX1 Frameshift Mutation, Clinical Characteristics, and Implications. Journal of the Endocrine Society. 6(1). bvab159–bvab159. 16 indexed citations
3.
Suwa, Tetsuya, Yanyan Liu, Takehiro Kato, et al.. (2021). Diagnosis and treatment of primary central nervous system lymphoma with the primary lesion in the hypothalamus: a case report. BMC Endocrine Disorders. 21(1). 13–13. 1 indexed citations
4.
Horikawa, Yukio, Mayumi Enya, Jun Takeda, et al.. (2020). L-Arginine prevents cereblon-mediated ubiquitination of glucokinase and stimulates glucose-6-phosphate production in pancreatic β-cells. Communications Biology. 3(1). 497–497. 15 indexed citations
5.
Horikawa, Yukio & Mayumi Enya. (2019). Genetic Dissection and Clinical Features of MODY6 (NEUROD1-MODY). Current Diabetes Reports. 19(3). 12–12. 34 indexed citations
6.
Yagi, Kunimasa, Minoru Iwata, Akiko Takikawa, et al.. (2019). Clinical manifestations of a sporadic maturity-onset diabetes of the young (MODY) 5 with a whole deletion of <i>HNF1B</i> based on 17q12 microdeletion. Endocrine Journal. 66(12). 1113–1116. 9 indexed citations
7.
Horikawa, Yukio, Kazuyoshi Hosomichi, Mayumi Enya, et al.. (2018). No novel, high penetrant gene might remain to be found in Japanese patients with unknown MODY. Journal of Human Genetics. 63(7). 821–829. 2 indexed citations
8.
Horikawa, Yukio, Akio Suzuki, Kenichi Hashimoto, et al.. (2018). Evaluation of the Diabetes Regional Coordination Path using the Diabetes Coordination Notebook in community-based diabetes care. Diabetology International. 10(3). 188–197. 1 indexed citations
9.
Horikawa, Yukio, Mayumi Enya, Kenichi Hashimoto, et al.. (2018). Effectiveness of Sodium-Glucose Cotransporter-2 Inhibitor as an Add-on Drug to GLP-1 Receptor Agonists for Glycemic Control of a Patient with Prader–Willi Syndrome: A Case Report. Diabetes Therapy. 9(1). 421–426. 9 indexed citations
10.
Horikawa, Yukio, Mayumi Enya, Hiroyo Mabe, et al.. (2017). NEUROD1‐deficient diabetes ( MODY6 ): Identification of the first cases in Japanese and the clinical features. Pediatric Diabetes. 19(2). 236–242. 38 indexed citations
11.
Enya, Mayumi, Yukio Horikawa, Katsumi Iizuka, & Jun Takeda. (2014). Association of genetic variants of the incretin-related genes with quantitative traits and occurrence of type 2 diabetes in Japanese. Molecular Genetics and Metabolism Reports. 1. 350–361. 7 indexed citations
12.
Horikawa, Yukio, et al.. (2010). Synergistic effect of α-glucosidase inhibitors and dipeptidyl peptidase 4 inhibitor treatment. Journal of Diabetes Investigation. 2(3). 200–203. 10 indexed citations
13.
Horikawa, Yukio, Mayumi Enya, Naohisa Oda, et al.. (2009). Identification of Minimal Promoter and Genetic Variants of Kruppel-like Factor 11 Gene and Association Analysis with Type 2 Diabetes in Japanese. Endocrine Journal. 56(2). 275–286. 14 indexed citations
14.
Sasaki, Akihiko, et al.. (2008). Case report of familial Carney complex due to novel frameshift mutation c.597del C (p.Phe200LeufsX6) in PRKAR1A. Molecular Genetics and Metabolism. 95(3). 182–187. 7 indexed citations
15.
Enya, Mayumi, Yukio Horikawa, Hideaki Tomura, et al.. (2008). Mutations in the small heterodimer partner gene increase morbidity risk in Japanese type 2 diabetes patients. Human Mutation. 29(11). E271–E277. 24 indexed citations
16.
Horikawa, Yukio, Kazuaki Miyake, Kazuki Yasuda, et al.. (2008). Replication of Genome-Wide Association Studies of Type 2 Diabetes Susceptibility in Japan. The Journal of Clinical Endocrinology & Metabolism. 93(8). 3136–3141. 125 indexed citations
17.
Kanematsu, Masayuki, Richard C. Semelka, Masayuki Matsuo, et al.. (2002). Gadolinium-enhanced MR Imaging of the Liver: Optimizing Imaging Delay for Hepatic Arterial and Portal Venous Phases—A Prospective Randomized Study in Patients with Chronic Liver Damage. Radiology. 225(2). 407–415. 49 indexed citations
18.
Mizuno, Shinji, et al.. (1998). Evaluation of Regional Cerebral Blood Flow Changes in Normal Aging Using 99mTc-ECD SPECT and Patlak Method.. RADIOISOTOPES. 47(5). 392–398. 1 indexed citations
19.
Enya, Mayumi, et al.. (1998). Hepatodiaphragmatic portosystemic shunt in cirrhosis. European Journal of Radiology. 28(3). 276–279. 3 indexed citations
20.
Kiryu, Takuji, Eisuke Matsui, Mayumi Enya, et al.. (1996). A Recurrent Case of Multiple Chondromatous Hamartoma of the Lung.. Haigan. 36(1). 49–53. 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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