Shogo Funakoshi

498 total citations
17 papers, 395 citations indexed

About

Shogo Funakoshi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Shogo Funakoshi has authored 17 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 8 papers in Genetics. Recurrent topics in Shogo Funakoshi's work include Pancreatic function and diabetes (9 papers), Diabetes Management and Research (7 papers) and Diabetes and associated disorders (6 papers). Shogo Funakoshi is often cited by papers focused on Pancreatic function and diabetes (9 papers), Diabetes Management and Research (7 papers) and Diabetes and associated disorders (6 papers). Shogo Funakoshi collaborates with scholars based in Japan. Shogo Funakoshi's co-authors include Shimpei Fujimoto, Yutaka Seino, Nobuya Inagaki, Masaya Hosokawa, Hideya Fujiwara, Kaori Ikeda, Yuichi Nishi, Akihiro Hamasaki, Yoshihito Fujita and Yuichiro Yamada and has published in prestigious journals such as Endocrinology, Diabetologia and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Shogo Funakoshi

17 papers receiving 389 citations

Peers

Shogo Funakoshi

EDM

SURGE

GENET

PHYSI

Koichiro Nabe Japan

H. Katz United States

Makiko Shimodahira Japan

Robert Kleinman United States

Per-Ola Carlsson Sweden

Anton I. Korbut Russia

László Gerő Hungary

Birgitta Bodin Sweden

D.L. Greiner United States

James Desemone United States

Koichiro Nabe Japan

Shogo Funakoshi

132 ×0.6

EDM

159 ×0.7

SURGE

111 ×0.9

41 ×0.4

GENET

35 ×0.8

PHYSI

Citations per year, relative to Shogo Funakoshi Shogo Funakoshi (= 1×) peers Koichiro Nabe

Countries citing papers authored by Shogo Funakoshi

Since Specialization

Citations

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

Fields of papers citing papers by Shogo Funakoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shogo Funakoshi

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Funakoshi, Shogo, Mitsuru Nishiyama, Masahiro Komori, et al.. (2024). Hypopituitarism due to CNS <i>Aspergillus</i> Infection. Internal Medicine. 63(21). 2953–2959. 1 indexed citations

Funakoshi, Shogo, et al.. (2020). Undercarboxylated osteocalcin correlates with insulin secretion in Japanese individuals with diabetes. Diabetology & Metabolic Syndrome. 12(1). 72–72. 7 indexed citations

Hashimoto, Daisuke, Shu‐ichi Nakayama, Shogo Funakoshi, et al.. (2020). Severe hypoglycemia caused by a small dose of repaglinide and concurrent use of nilotinib and febuxostat in a patient with type 2 diabetes. Diabetology International. 11(4). 388–392. 4 indexed citations

Funakoshi, Shogo, et al.. (2018). Fasting plasma mannose levels are associated with insulin sensitivity independent of BMI in Japanese individuals with diabetes. Diabetology & Metabolic Syndrome. 10(1). 88–88. 8 indexed citations

Ono, Masafumi, Hiroshi Takata, Shogo Funakoshi, et al.. (2017). Analysis of factors influencing glucose tolerance in Japanese patients with non-alcoholic fatty liver disease. Diabetology & Metabolic Syndrome. 9(1). 65–65. 12 indexed citations

Yoshimura, K., Hiroshi Takata, Shogo Funakoshi, et al.. (2017). Plasma mannose level, a putative indicator of glycogenolysis, and glucose tolerance in Japanese individuals. Journal of Diabetes Investigation. 8(4). 489–495. 11 indexed citations

Tanaka, Daisuke, Kazuaki Nagashima, Mayumi Sasaki, et al.. (2013). Exome sequencing identifies a new candidate mutation for susceptibility to diabetes in a family with highly aggregated type 2 diabetes. Molecular Genetics and Metabolism. 109(1). 112–117. 13 indexed citations

Nakata, Hirosuke, et al.. (2013). Autoimmune Polyglandular Syndrome III in a Patient with Idiopathic Portal Hypertension. Internal Medicine. 52(12). 1375–1378. 3 indexed citations

Funakoshi, Shogo, Shimpei Fujimoto, Akihiro Hamasaki, et al.. (2011). Utility of indices using C-peptide levels for indication of insulin therapy to achieve good glycemic control in Japanese patients with type 2 diabetes. Journal of Diabetes Investigation. 2(4). 297–303. 47 indexed citations

10.

Funakoshi, Shogo, Shimpei Fujimoto, Akihiro Hamasaki, et al.. (2011). Analysis of factors influencing postprandial C-peptide levels in Japanese patients with type 2 diabetes: Comparison with C-peptide levels after glucagon load. Journal of Diabetes Investigation. 2(6). 429–434. 12 indexed citations

11.

Tanaka, Daisuke, Kazuaki Nagashima, Mayumi Sasaki, et al.. (2010). GCKR mutations in Japanese families with clustered type 2 diabetes. Molecular Genetics and Metabolism. 102(4). 453–460. 5 indexed citations

12.

Funakoshi, Shogo, Shimpei Fujimoto, Akihiro Hamasaki, et al.. (2008). Analysis of factors influencing pancreatic β-cell function in Japanese patients with type 2 diabetes: Association with body mass index and duration of diabetic exposure. Diabetes Research and Clinical Practice. 82(3). 353–358. 77 indexed citations

13.

Fujimoto, Shimpei, Eri Mukai, Yumi Nakamura, et al.. (2008). Src activation generates reactive oxygen species and impairs metabolism–secretion coupling in diabetic Goto–Kakizaki and ouabain-treated rat pancreatic islets. Diabetologia. 51(7). 1226–1235. 33 indexed citations

14.

Yamada, Yuichiro, Kazuhito Fukuda, Shimpei Fujimoto, et al.. (2006). SUIT, secretory units of islets in transplantation: An index for therapeutic management of islet transplanted patients and its application to type 2 diabetes. Diabetes Research and Clinical Practice. 74(3). 222–226. 64 indexed citations

15.

Nabe, Koichiro, Shimpei Fujimoto, Makiko Shimodahira, et al.. (2006). Diphenylhydantoin Suppresses Glucose-Induced Insulin Release by Decreasing Cytoplasmic H+ Concentration in Pancreatic Islets. Endocrinology. 147(6). 2717–2727. 23 indexed citations

16.

Shimono, Dai, Shimpei Fujimoto, Eri Mukai, et al.. (2005). ATP enhances exocytosis of insulin secretory granules in pancreatic islets under Ca2+-depleted condition. Diabetes Research and Clinical Practice. 69(3). 216–223. 7 indexed citations

17.

Fujimoto, Shimpei, Eri Mukai, Dai Shimono, et al.. (2004). Tacrolimus suppresses glucose-induced insulin release from pancreatic islets by reducing glucokinase activity. American Journal of Physiology-Endocrinology and Metabolism. 288(2). E365–E371. 68 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.

Explore authors with similar magnitude of impact