Cheol Son

1.1k total citations
36 papers, 892 citations indexed

About

Cheol Son is a scholar working on Physiology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Cheol Son has authored 36 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 10 papers in Surgery and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Cheol Son's work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Diabetes Treatment and Management (6 papers). Cheol Son is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers) and Diabetes Treatment and Management (6 papers). Cheol Son collaborates with scholars based in Japan, South Korea and United States. Cheol Son's co-authors include Kiminori Hosoda, Kazuwa Nakao, Junichi Matsuda, Gen Inoue, Yukio Yamori, Kentaro Doi, Yasunao Yoshimasa, Haruo Nishimura, Tokuji Tanaka and Yasutomo Fukunaga and has published in prestigious journals such as Diabetes, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Cheol Son

35 papers receiving 876 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheol Son Japan 16 447 261 204 150 127 36 892
Tania Quesada‐López Spain 15 469 1.0× 281 1.1× 345 1.7× 68 0.5× 63 0.5× 32 873
Phyllis A. Eagan United States 12 407 0.9× 362 1.4× 289 1.4× 239 1.6× 79 0.6× 19 1.2k
Nikolaj Rittig Denmark 17 421 0.9× 218 0.8× 122 0.6× 118 0.8× 137 1.1× 57 893
Shohei Shinozaki Japan 19 216 0.5× 324 1.2× 222 1.1× 123 0.8× 62 0.5× 27 838
Xinhua Xiao China 20 213 0.5× 580 2.2× 237 1.2× 145 1.0× 88 0.7× 75 1.2k
Flurin Item Switzerland 15 475 1.1× 334 1.3× 424 2.1× 136 0.9× 58 0.5× 19 1.1k
Taís Silveira Assmann Brazil 19 375 0.8× 511 2.0× 127 0.6× 200 1.3× 42 0.3× 57 1.2k
Arijeet K. Gattu United States 11 210 0.5× 367 1.4× 375 1.8× 125 0.8× 81 0.6× 19 911
Preethi Cherian Kuwait 21 360 0.8× 324 1.2× 260 1.3× 94 0.6× 149 1.2× 58 1.3k
Ond⊘řej Šeda Czechia 21 261 0.6× 519 2.0× 127 0.6× 189 1.3× 53 0.4× 84 1.1k

Countries citing papers authored by Cheol Son

Since Specialization
Citations

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

Fields of papers citing papers by Cheol Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheol Son

This figure shows the co-authorship network connecting the top 25 collaborators of Cheol Son. A scholar is included among the top collaborators of Cheol Son 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 Cheol Son. Cheol Son 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.
Makino, Hisashi, Cheol Son, Kunihiro Nishimura, et al.. (2024). Comparison of canagliflozin and teneligliptin on energy intake and body weight in Japanese patients with Type 2 diabetes: a subanalysis of the CANTABILE study. BMC Endocrine Disorders. 24(1). 153–153.
2.
Murakami, Yusuke, Hiroaki Yagi, Tsukasa Osaki, et al.. (2023). Serum proteomic identification and validation of two novel atherosclerotic aortic aneurysm biomarkers, profilin 1 and complement factor D. Proteome Science. 21(1). 11–11. 5 indexed citations
3.
Doi, Takahito, Mika Hori, Mariko Harada‐Shiba, et al.. (2021). Patients With LDLR and PCSK9 Gene Variants Experienced Higher Incidence of Cardiovascular Outcomes in Heterozygous Familial Hypercholesterolemia. Journal of the American Heart Association. 10(4). e018263–e018263. 15 indexed citations
4.
5.
Hori, Mika, Atsushi Takahashi, Cheol Son, Masatsune Ogura, & Mariko Harada‐Shiba. (2020). The first Japanese cases of familial hypercholesterolemia due to a known pathogenic APOB gene variant, c.10580 G>A: p.(Arg3527Gln). Journal of clinical lipidology. 14(4). 482–486. 16 indexed citations
6.
Motoki, Hirohiko, Izuru Masuda, Shinji Yasuno, et al.. (2020). Rationale and Design of the EMPYREAN Study. ESC Heart Failure. 7(5). 3134–3141. 6 indexed citations
7.
8.
Hori, Mika, Atsushi Takahashi, Hiroaki Masuda, et al.. (2019). Impact of LDLR and PCSK9 pathogenic variants in Japanese heterozygous familial hypercholesterolemia patients. Atherosclerosis. 289. 101–108. 37 indexed citations
9.
Hino, Jun, Hiroshi Hosoda, Cheol Son, et al.. (2018). Adipocyte-specific expression of C-type natriuretic peptide suppresses lipid metabolism and adipocyte hypertrophy in adipose tissues in mice fed high-fat diet. Scientific Reports. 8(1). 2093–2093. 25 indexed citations
10.
Makino, Hisashi, Miki Matsuo, Mayu Tochiya, et al.. (2018). Effect of linagliptin on oxidative stress markers in patients with type 2 diabetes: a pilot study. Diabetology International. 10(2). 148–152. 11 indexed citations
11.
Shimizu, Yoshiyuki, Cheol Son, Daisuke Aotani, et al.. (2017). Role of leptin in conditioned place preference to high-fat diet in leptin-deficient ob/ob mice. Neuroscience Letters. 640. 60–63. 25 indexed citations
12.
Hino, Jun, Hiroshi Hosoda, Yuji Arai, et al.. (2017). Overexpression of C-type Natriuretic Peptide in Endothelial Cells Protects against Insulin Resistance and Inflammation during Diet-induced Obesity. Scientific Reports. 7(1). 9807–9807. 29 indexed citations
13.
Aotani, Daisuke, Cheol Son, Yoshiyuki Shimizu, et al.. (2016). Reevaluation of anti-obesity action of mazindol and elucidation of its effect on the reward system. Neuroscience Letters. 633. 141–145. 2 indexed citations
14.
Lee, Young Shin, et al.. (2014). Radiation-induced matrix metalloproteinases limit natural killer cell-mediated anticancer immunity in NCI-H23 lung cancer cells. Molecular Medicine Reports. 11(3). 1800–1806. 25 indexed citations
15.
Kamboj, Mini, et al.. (2011). Relapse Versus Reinfection: Surveillance of Clostridium difficile Infection. Clinical Infectious Diseases. 53(10). 1003–1006. 74 indexed citations
16.
Um, Soo‐Jung, Young Jin Choi, Ho‐Jin Shin, et al.. (2010). Phase I study of autologous dendritic cell tumor vaccine in patients with non-small cell lung cancer. Lung Cancer. 70(2). 188–194. 42 indexed citations
17.
Kobayashi, Hirohide, Ichiro Fujisawa, Kaori Ikeda, et al.. (2006). A novel heterozygous missense mutation in the vasopressin moiety is identified in a Japanese person with neurohypophyseal diabetes insipidus. Journal of Endocrinological Investigation. 29(3). 252–256. 11 indexed citations
18.
Fukunaga, Yasutomo, Hiroshi Itoh, Kiminori Hosoda, et al.. (2000). Altered gene expression of uncoupling protein-2 and -3 in stroke-prone spontaneously hypertensive rats. Journal of Hypertension. 18(9). 1233–1238. 14 indexed citations
19.
Hosoda, Kiminori, Hiroshi Itoh, Cheol Son, et al.. (1999). NEW MEMBERS OF UNCOUPLING PROTEIN FAMILY IMPLICATED IN ENERGY METABOLISM. Clinical and Experimental Pharmacology and Physiology. 26(7). 561–562. 7 indexed citations
20.
Matsuda, Junichi, Kiminori Hosoda, Hiroshi Itoh, et al.. (1997). Cloning of rat uncoupling protein‐3 and uncoupling protein‐2 cDNAs: their gene expression in rats fed high‐fat diet. FEBS Letters. 418(1-2). 200–204. 172 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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