Jun Honjo

747 total citations
19 papers, 634 citations indexed

About

Jun Honjo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Jun Honjo has authored 19 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Jun Honjo's work include Diabetes Treatment and Management (10 papers), Pancreatic function and diabetes (8 papers) and Metabolism, Diabetes, and Cancer (4 papers). Jun Honjo is often cited by papers focused on Diabetes Treatment and Management (10 papers), Pancreatic function and diabetes (8 papers) and Metabolism, Diabetes, and Cancer (4 papers). Jun Honjo collaborates with scholars based in Japan and Canada. Jun Honjo's co-authors include Masakazu Haneda, Yuichi Makino, Yumi Takiyama, Yukihiro Fujita, Hidemitsu Sakagami, Yasutaka Takeda, Atsuko Abiko, Hiroki Yokoyama, Tatsuo Harumi and Jun Watanabe and has published in prestigious journals such as PLoS ONE, Diabetes Care and Diabetes.

In The Last Decade

Jun Honjo

18 papers receiving 627 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Honjo Japan 12 268 240 202 115 101 19 634
Nektaria Papadopoulou‐Marketou Greece 10 243 0.9× 154 0.6× 135 0.7× 188 1.6× 48 0.5× 20 741
Jiaqing Shao China 16 261 1.0× 250 1.0× 168 0.8× 50 0.4× 84 0.8× 60 804
Yasutaka Takeda Japan 9 231 0.9× 171 0.7× 181 0.9× 45 0.4× 73 0.7× 20 454
Sanja Ćurčić Austria 13 202 0.8× 149 0.6× 177 0.9× 59 0.5× 67 0.7× 16 666
Mako Yasuda‒Yamahara Japan 15 225 0.8× 246 1.0× 152 0.8× 178 1.5× 31 0.3× 24 694
Hyun Wha Chung South Korea 9 214 0.8× 227 0.9× 128 0.6× 139 1.2× 30 0.3× 13 574
Eric D. Labonté United States 13 120 0.4× 283 1.2× 264 1.3× 110 1.0× 39 0.4× 14 678
Yosuke Nagai Japan 12 194 0.7× 230 1.0× 93 0.5× 205 1.8× 44 0.4× 19 615
Zhen Sun China 17 112 0.4× 319 1.3× 101 0.5× 93 0.8× 80 0.8× 41 812
Motofumi Sasaki Japan 13 334 1.2× 202 0.8× 177 0.9× 177 1.5× 24 0.2× 16 781

Countries citing papers authored by Jun Honjo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Honjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Honjo

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

All Works

19 of 19 papers shown
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Takeda, Yasutaka, Yukihiro Fujita, Nobuhiro Maruyama, et al.. (2020). Establishment of novel specific assay for short‐form glucose‐dependent insulinotropic polypeptide and evaluation of its secretion in nondiabetic subjects. Physiological Reports. 8(11). e14469–e14469. 3 indexed citations
3.
Yokoyama, Hiroki, et al.. (2018). Incidence and risk of vaginal candidiasis associated with sodium–glucose cotransporter 2 inhibitors in real‐world practice for women with type 2 diabetes. Journal of Diabetes Investigation. 10(2). 439–445. 27 indexed citations
4.
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Fujita, Yukihiro, Yasutaka Takeda, Jun Honjo, et al.. (2017). Dipeptidyl peptidase-4 inhibitor treatment induces a greater increase in plasma levels of bioactive GIP than GLP-1 in non-diabetic subjects. Molecular Metabolism. 6(2). 226–231. 35 indexed citations
6.
Takeda, Yasutaka, Yukihiro Fujita, Kentaro Sakai, et al.. (2017). Expression of transcription factors in MEN1-associated pancreatic neuroendocrine tumors. Endocrinology Diabetes and Metabolism Case Reports. 2017. 1 indexed citations
7.
Atageldiyeva, Kuralay, Yukihiro Fujita, Yasutaka Takeda, et al.. (2016). Sodium-Glucose Cotransporter 2 Inhibitor and a Low Carbohydrate Diet Affect Gluconeogenesis and Glycogen Content Differently in the Kidney and the Liver of Non-Diabetic Mice. PLoS ONE. 11(6). e0157672–e0157672. 19 indexed citations
8.
Fujita, Yukihiro, Yasutaka Takeda, Jun Honjo, et al.. (2016). Alternative form of glucose‐dependent insulinotropic polypepide and its physiology. Journal of Diabetes Investigation. 7(S1). 33–37. 13 indexed citations
9.
10.
Yokoyama, Hiroki, Shin‐ichi Araki, Shinya Watanabe, et al.. (2015). Prevalence of resistant hypertension and associated factors in Japanese subjects with type 2 diabetes. Diabetes Research and Clinical Practice. 110(1). 18–25. 7 indexed citations
11.
Yokoyama, Hiroki, Jun Honjo, Shin-ichiro Okizaki, et al.. (2014). Risk factors associated with abnormal cognition in Japanese outpatients with diabetes, hypertension or dyslipidemia. Diabetology International. 6(4). 268–274. 18 indexed citations
12.
Yokoyama, Hiroki, Hirohito Sone, Jun Honjo, et al.. (2014). Relationship between a Low Ankle Brachial Index and All-Cause Death and Cardiovascular Events in Subjects with and without Diabetes. Journal of Atherosclerosis and Thrombosis. 21(6). 574–81. 11 indexed citations
13.
Yokoyama, Hiroki, Shin‐ichi Araki, Jun Honjo, et al.. (2013). Association Between Remission of Macroalbuminuria and Preservation of Renal Function in Patients With Type 2 Diabetes With Overt Proteinuria. Diabetes Care. 36(10). 3227–3233. 33 indexed citations
14.
Takeda, Yasutaka, Yukihiro Fujita, Jun Honjo, et al.. (2011). Reduction of both beta cell death and alpha cell proliferation by dipeptidyl peptidase-4 inhibition in a streptozotocin-induced model of diabetes in mice. Diabetologia. 55(2). 404–412. 104 indexed citations
15.
Yokoyama, Hitoshi, Shinji Takahashi, Daishiro Yamada, et al.. (2011). Risks for glomerular filtration rate decline in association with progression of albuminuria in type 2 diabetes. Nephrology Dialysis Transplantation. 26(9). 2924–2930. 32 indexed citations
16.
Yokoyama, Hiroki, Hirohito Sone, Kazumi Saito, et al.. (2011). Flow-Mediated Dilation is Associated with Microalbuminuria Independent of Cardiovascular Risk Factors in Type 2 Diabetes. Journal of Atherosclerosis and Thrombosis. 18(9). 744–752. 25 indexed citations
17.
Takiyama, Yumi, Tatsuo Harumi, Jun Watanabe, et al.. (2011). Tubular Injury in a Rat Model of Type 2 Diabetes Is Prevented by Metformin. Diabetes. 60(3). 981–992. 141 indexed citations
18.
Makino, Yuichi, Hidemitsu Sakagami, Yukihiro Fujita, et al.. (2010). High glucose activates HIF-1-mediated signal transduction in glomerular mesangial cells through a carbohydrate response element binding protein. Kidney International. 78(1). 48–59. 129 indexed citations
19.
Yokoyama, Hiroki, Hirohito Sone, Daishiro Yamada, Jun Honjo, & Masakazu Haneda. (2010). Contribution of glimepiride to basal–prandial insulin therapy in patients with type 2 diabetes. Diabetes Research and Clinical Practice. 91(2). 148–153. 8 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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