Jun Inaishi

507 total citations
24 papers, 358 citations indexed

About

Jun Inaishi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Jun Inaishi has authored 24 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Surgery and 10 papers in Genetics. Recurrent topics in Jun Inaishi's work include Diabetes Management and Research (13 papers), Pancreatic function and diabetes (12 papers) and Diabetes and associated disorders (9 papers). Jun Inaishi is often cited by papers focused on Diabetes Management and Research (13 papers), Pancreatic function and diabetes (12 papers) and Diabetes and associated disorders (9 papers). Jun Inaishi collaborates with scholars based in Japan and United States. Jun Inaishi's co-authors include Yoshifumi Saisho, Hiroshi Itoh, Taketo Yamada, R. Murakami, Kinsei Kou, Seiji Sato, Minoru Kitago, Yuko Kitagawa, Hironobu Sasaki and Kazuhiro Kashiwagi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jun Inaishi

23 papers receiving 357 citations

Peers

Jun Inaishi
Shogo Funakoshi Japan
Miroslava Hučková Slovakia
Hisako Komada Japan
Philip Home United Kingdom
André F. Reis Brazil
Jon C. Olson United States
Naoufel Nabli Tunisia
Christina A. Hedman Sweden
Sílvia Bonàs‐Guarch Spain
Yunyi Le China
Shogo Funakoshi Japan
Jun Inaishi
Citations per year, relative to Jun Inaishi Jun Inaishi (= 1×) peers Shogo Funakoshi

Countries citing papers authored by Jun Inaishi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Inaishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Inaishi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Inaishi. A scholar is included among the top collaborators of Jun Inaishi 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 Jun Inaishi. Jun Inaishi 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.
Kinoshita, Shotaro, Momoko Kitazawa, Jun Inaishi, et al.. (2024). Assessment of Stress and Well-Being of Japanese Employees Using Wearable Devices for Sleep Monitoring Combined With Ecological Momentary Assessment: Pilot Observational Study. JMIR Formative Research. 8. e49396–e49396. 1 indexed citations
2.
Inaishi, Jun, Kazuhiro Kashiwagi, Shotaro Kinoshita, et al.. (2023). Associations between glycemic variability, sleep quality, and daily steps in subjects without diabetes using wearable devices. SHILAP Revista de lepidopterología. 20. 100263–100263. 5 indexed citations
3.
Kashiwagi, Kazuhiro, Jun Inaishi, Shotaro Kinoshita, et al.. (2023). Assessment of glycemic variability and lifestyle behaviors in healthy nondiabetic individuals according to the categories of body mass index. PLoS ONE. 18(10). e0291923–e0291923. 7 indexed citations
4.
Inaishi, Jun, Ryoko Shimizu‐Hirota, Yoshifumi Saisho, et al.. (2023). Longitudinal changes in pancreatic volume and pancreatic fat with weight gain in Japanese without diabetes: An analysis using health check-up data. SHILAP Revista de lepidopterología. 19. 100250–100250. 1 indexed citations
5.
Inaishi, Jun & Yoshifumi Saisho. (2022). Exenatide Once Weekly for Management of Type 2 Diabetes: A Review. SHILAP Revista de lepidopterología. 6 indexed citations
6.
Saisho, Yoshifumi, Jun Inaishi, Hironobu Sasaki, et al.. (2022). Increased alpha cell to beta cell ratio in patients with pancreatic cancer. Endocrine Journal. 69(12). 1407–1414. 2 indexed citations
7.
8.
Bessho, Rieko, et al.. (2022). A significant risk of metabolic dysfunction-associated fatty liver disease plus diabetes on subclinical atherosclerosis. PLoS ONE. 17(5). e0269265–e0269265. 23 indexed citations
9.
Sasaki, Hironobu, Yoshifumi Saisho, Jun Inaishi, et al.. (2021). Reduced beta cell number rather than size is a major contributor to beta cell loss in type 2 diabetes. Diabetologia. 64(8). 1816–1821. 18 indexed citations
10.
Meguro, Shu, Jun Inaishi, Yasunori Sato, Issei Komuro, & Hiroshi Itoh. (2020). One‐year estimated glomerular filtration rate decline as a risk factor of cardiovascular and renal end‐points in high‐risk Japanese patients. Journal of Diabetes Investigation. 12(7). 1212–1219. 7 indexed citations
11.
Inaishi, Jun & Yoshifumi Saisho. (2020). Beta-Cell Mass in Obesity and Type 2 Diabetes, and Its Relation to Pancreas Fat: A Mini-Review. Nutrients. 12(12). 3846–3846. 69 indexed citations
12.
Sasaki, Hironobu, Yoshifumi Saisho, Jun Inaishi, et al.. (2020). Associations of birthweight and history of childhood obesity with beta cell mass in Japanese adults. Diabetologia. 63(6). 1199–1210. 12 indexed citations
13.
Saisho, Yoshifumi, et al.. (2020). Relationship between daily and visit-to-visit glycemic variability in patients with type 2 diabetes. Endocrine Journal. 67(8). 877–881. 10 indexed citations
14.
Inaishi, Jun, Yoshifumi Saisho, Yoichiro Hirakawa, et al.. (2020). Association of glucose tolerance status with pancreatic β‐ and α‐cell mass in community‐based autopsy samples of Japanese individuals: The Hisayama Study. Journal of Diabetes Investigation. 11(5). 1197–1206. 13 indexed citations
15.
Inaishi, Jun, Yoichiro Hirakawa, Momoko Horikoshi, et al.. (2019). Association Between Genetic Risk and Development of Type 2 Diabetes in a General Japanese Population: The Hisayama Study. The Journal of Clinical Endocrinology & Metabolism. 104(8). 3213–3222. 17 indexed citations
16.
Inaishi, Jun & Yoshifumi Saisho. (2017). Ethnic Similarities and Differences in the Relationship between Beta Cell Mass and Diabetes. Journal of Clinical Medicine. 6(12). 113–113. 27 indexed citations
17.
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
18.
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
19.
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
20.
Inaishi, Jun, Shigeru Nogawa, Yoshinori Mano, Takahito Yoshizaki, & Satoshi Okada. (2014). Successful thrombolysis without hemorrhage in a patient with cardioembolic stroke under dabigatran treatment―a case report and review of literature. Rinsho Shinkeigaku. 54(3). 238–240. 6 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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