Kinsei Kou

431 total citations
11 papers, 348 citations indexed

About

Kinsei Kou is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Kinsei Kou has authored 11 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 7 papers in Genetics. Recurrent topics in Kinsei Kou's work include Diabetes Management and Research (10 papers), Diabetes and associated disorders (7 papers) and Pancreatic function and diabetes (7 papers). Kinsei Kou is often cited by papers focused on Diabetes Management and Research (10 papers), Diabetes and associated disorders (7 papers) and Pancreatic function and diabetes (7 papers). Kinsei Kou collaborates with scholars based in Japan. Kinsei Kou's co-authors include Hiroshi Itoh, Yoshifumi Saisho, Taketo Yamada, Toshihide Kawai, Seiji Sato, Kumiko Tanaka‐Ishii, Shu Meguro, Seiji Satoh, Akira Shimada and Takayuki Abe and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Kinsei Kou

11 papers receiving 344 citations

Peers

Kinsei Kou

EDM

SURGE

GENET

MB

EPIDE

Manuel Dolz France

László Gerő Hungary

Margherita Occhipinti Italy

Yunyi Le China

Christine Proença United Kingdom

Tadasu Kasahara Japan

Liangbiao Gu China

Ylva Wessman Sweden

Haysook Choi Canada

Birgitte Hylleberg Denmark

Manuel Dolz France

Kinsei Kou

191 ×0.8

EDM

280 ×1.2

SURGE

278 ×1.9

GENET

64 ×0.7

MB

25 ×0.5

EPIDE

Citations per year, relative to Kinsei Kou Kinsei Kou (= 1×) peers Manuel Dolz

Countries citing papers authored by Kinsei Kou

Since Specialization

Citations

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

Fields of papers citing papers by Kinsei Kou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinsei Kou

This figure shows the co-authorship network connecting the top 25 collaborators of Kinsei Kou. A scholar is included among the top collaborators of Kinsei Kou 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 Kinsei Kou. Kinsei Kou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Saisho, Yoshifumi, Jun Inaishi, Kinsei Kou, et al.. (2019). Efficacy and safety of once‐weekly exenatide after switching from twice‐daily exenatide in patients with type 2 diabetes. Journal of Diabetes Investigation. 11(2). 382–388. 8 indexed citations

2.

Murakami, R., Yoshifumi Saisho, Jun Inaishi, et al.. (2017). Pancreas Fat and β Cell Mass in Humans With and Without Diabetes: An Analysis in the Japanese Population. The Journal of Clinical Endocrinology & Metabolism. 102(9). 3251–3260. 30 indexed citations

3.

Inaishi, Jun, Yoshifumi Saisho, Seiji Sato, et al.. (2016). Effects of Obesity and Diabetes on α- and β-Cell Mass in Surgically Resected Human Pancreas. The Journal of Clinical Endocrinology & Metabolism. 101(7). 2874–2882. 47 indexed citations

4.

Sato, Seiji, Yoshifumi Saisho, Kinsei Kou, et al.. (2015). Efficacy and Safety of Sitagliptin Added to Insulin in Japanese Patients with Type 2 Diabetes: The EDIT Randomized Trial. PLoS ONE. 10(3). e0121988–e0121988. 24 indexed citations

5.

Sato, Seiji, Yoshifumi Saisho, Jun Inaishi, et al.. (2015). Effects of Glucocorticoid Treatment on β- and α-Cell Mass in Japanese Adults With and Without Diabetes. Diabetes. 64(8). 2915–2927. 21 indexed citations

6.

Kou, Kinsei, Yoshifumi Saisho, Masahiro Jinzaki, & Hiroshi Itoh. (2014). Relationship between Body Mass Index and Pancreas Volume in Japanese Adults. PubMed. 15(6). 626–7. 19 indexed citations

7.

Kou, Kinsei, Yoshifumi Saisho, Seiji Sato, Taketo Yamada, & Hiroshi Itoh. (2014). Islet Number Rather Than Islet Size Is a Major Determinant of β- and α-Cell Mass in Humans. The Journal of Clinical Endocrinology & Metabolism. 99(5). 1733–1740. 20 indexed citations

8.

Kou, Kinsei, Yoshifumi Saisho, Seiji Satoh, Taketo Yamada, & Hiroshi Itoh. (2013). Change in β-Cell Mass in Japanese Nondiabetic Obese Individuals. The Journal of Clinical Endocrinology & Metabolism. 98(9). 3724–3730. 59 indexed citations

9.

Tanaka, Chihiro, Yoshifumi Saisho, Kumiko Tanaka‐Ishii, et al.. (2013). Factors associated with glycemic variability in Japanese patients with diabetes. Diabetology International. 5(1). 36–42. 20 indexed citations

10.

Saisho, Yoshifumi, Kinsei Kou, Kumiko Tanaka‐Ishii, et al.. (2013). Association between beta cell function and future glycemic control in patients with type 2 diabetes. Endocrine Journal. 60(4). 517–523. 28 indexed citations

11.

Saisho, Yoshifumi, Kinsei Kou, Kumiko Tanaka‐Ishii, et al.. (2011). Postprandial serum C-peptide to plasma glucose ratio as a predictor of subsequent insulin treatment in patients with type 2 diabetes. Endocrine Journal. 58(4). 315–322. 72 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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