Keisuke Sumi

668 total citations
31 papers, 523 citations indexed

About

Keisuke Sumi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Keisuke Sumi has authored 31 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Genetics. Recurrent topics in Keisuke Sumi's work include Mesenchymal stem cell research (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes Treatment and Management (7 papers). Keisuke Sumi is often cited by papers focused on Mesenchymal stem cell research (8 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes Treatment and Management (7 papers). Keisuke Sumi collaborates with scholars based in Japan. Keisuke Sumi's co-authors include Shin‐ichi Taniguchi, Kazuhiko Matsuzawa, Shoichiro Izawa, Masahiko Kato, Kazuhiro Yamamoto, Kotaro Tanimoto, Tsuyoshi Okura, Tetsuya Awada, Etsuko Ueta and Risa Nakamura and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Periodontology.

In The Last Decade

Keisuke Sumi

31 papers receiving 507 citations

Peers

Keisuke Sumi
Li Zeng China
Keisuke Sumi
Citations per year, relative to Keisuke Sumi Keisuke Sumi (= 1×) peers Li Zeng

Countries citing papers authored by Keisuke Sumi

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Sumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Sumi

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Sumi. A scholar is included among the top collaborators of Keisuke Sumi 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 Keisuke Sumi. Keisuke Sumi 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.
2.
Okura, Tsuyoshi, Risa Nakamura, Yuichi Ito, et al.. (2020). Hepatic insulin clearance is increased in patients with high HbA1c type 2 diabetes: a preliminary report. BMJ Open Diabetes Research & Care. 8(1). e001149–e001149. 18 indexed citations
3.
Ando, Kazuyo, Ryo Kunimatsu, Tetsuya Awada, et al.. (2018). Effects of Human Full-length Amelogenin and C-terminal Amelogenin Peptide on the Proliferation of Human Mesenchymal Stem Cells Derived from Adipose Tissue. Current Pharmaceutical Design. 24(25). 2993–3001. 3 indexed citations
4.
Okura, Tsuyoshi, Risa Nakamura, Yuichi Ito, et al.. (2018). CPR-IR is an insulin resistance index that is minimally affected by hepatic insulin clearance—A preliminary research. PLoS ONE. 13(5). e0197663–e0197663. 10 indexed citations
5.
Okura, Tsuyoshi, Risa Nakamura, Yuichi Ito, et al.. (2018). Body mass index ≥23 is a risk factor for insulin resistance and diabetes in Japanese people: A brief report. PLoS ONE. 13(7). e0201052–e0201052. 40 indexed citations
6.
Sumi, Keisuke, et al.. (2018). Coenzyme Q10 suppresses apoptosis of mouse pancreatic β-cell line MIN6. Diabetology & Metabolic Syndrome. 10(1). 47–47. 16 indexed citations
7.
Abe, Takaharu, Keisuke Sumi, Ryo Kunimatsu, et al.. (2018). Dynamic imaging of the effect of mesenchymal stem cells on osteoclast precursor cell chemotaxis for bone defects in the mouse skull. Journal of Dental Sciences. 13(4). 354–359. 8 indexed citations
8.
Kunimatsu, Ryo, Yuji Tsuka, Yuki Yoshimi, et al.. (2018). Effects of high-frequency near-infrared diode laser irradiation on the proliferation and migration of mouse calvarial osteoblasts. Lasers in Medical Science. 33(5). 959–966. 26 indexed citations
9.
Abe, Takaharu, Keisuke Sumi, Ryo Kunimatsu, et al.. (2018). The effect of mesenchymal stem cells on osteoclast precursor cell differentiation. Journal of Oral Science. 61(1). 30–35. 15 indexed citations
10.
Nakamura, Risa, Tsuyoshi Okura, Keisuke Sumi, et al.. (2017). Serum fatty acid-binding protein 4 (FABP4) concentration is associated with insulin resistance in peripheral tissues, A clinical study. PLoS ONE. 12(6). e0179737–e0179737. 53 indexed citations
11.
Okura, Tsuyoshi, Keisuke Sumi, Kazuhisa Matsumoto, et al.. (2017). Normal meal tolerance test is preferable to the glucagon stimulation test in patients with type 2 diabetes that are not in a hyperglycemic state: Comparison with the change of C‐peptide immunoreactivity. Journal of Diabetes Investigation. 9(2). 274–278. 11 indexed citations
12.
Awada, Tetsuya, Ryo Kunimatsu, Yuki Yoshimi, et al.. (2016). Effects of C-terminal amelogenin peptides on the metabolism of osteoblasts. Biochemical and Biophysical Research Communications. 482(4). 1154–1159. 5 indexed citations
13.
Ohkura, Tsuyoshi, Keisuke Sumi, Naoya Yamamoto, et al.. (2014). Sitagliptin Improves the Impaired Acute Insulin Response during a Meal Tolerance Test in Japanese Patients with Type 2 Diabetes Mellitus: A Small-Scale Real-World Study. Diabetes Therapy. 5(1). 285–297. 8 indexed citations
14.
Ohkura, Tsuyoshi, Keisuke Sumi, Naoya Yamamoto, et al.. (2014). Low serum galectin-3 concentrations are associated with insulin resistance in patients with type 2 diabetes mellitus. Diabetology & Metabolic Syndrome. 6(1). 106–106. 32 indexed citations
15.
Ohkura, Tsuyoshi, Shoichiro Izawa, Keisuke Sumi, et al.. (2014). Endogenous insulin secretion ability in meal tolerance test correlated with body mass index (BMI) in Japanese type 2 diabetes patients. International Journal of Diabetes in Developing Countries. 34(4). 193–200. 3 indexed citations
16.
Ohkura, Tsuyoshi, Keisuke Sumi, Naoya Yamamoto, et al.. (2014). Bezafibrate improves insulin resistance evaluated using the glucose clamp technique in patients with type 2 diabetes mellitus: a small-scale clinical study. Diabetology & Metabolic Syndrome. 6(1). 113–113. 8 indexed citations
17.
Ohkura, Tsuyoshi, Keisuke Sumi, Naoya Yamamoto, et al.. (2013). The proinsulin/insulin (PI/I) ratio is reduced by postprandial targeting therapy in type 2 diabetes mellitus: a small-scale clinical study. BMC Research Notes. 6(1). 453–453. 14 indexed citations
18.
Ohkura, Tsuyoshi, Keisuke Sumi, Naoya Yamamoto, et al.. (2013). 20/(fasting C-peptide × fasting plasma glucose) is a simple and effective index of insulin resistance in patients with type 2 diabetes mellitus: a preliminary report. Cardiovascular Diabetology. 12(1). 21–21. 78 indexed citations
19.
Sumi, Keisuke, Tsuyoshi Ohkura, Naoya Yamamoto, et al.. (2013). Long-term miglitol administration suppresses postprandial glucose-dependent insulinotropic polypeptide secretion. Diabetology International. 4(3). 190–196. 5 indexed citations
20.
Ohkura, Tsuyoshi, Shin‐ichi Taniguchi, Naoya Yamamoto, et al.. (2009). Screening criteria of diabetes mellitus and impaired glucose tolerance of the Japanese population in a rural area of Japan: the Tottori-Kofu Study.. Yonago acta medica. 52(3). 105–114. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026