Kan Sun

459 total citations
21 papers, 369 citations indexed

About

Kan Sun is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Kan Sun has authored 21 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Surgery. Recurrent topics in Kan Sun's work include Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (5 papers) and Pancreatic function and diabetes (5 papers). Kan Sun is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (5 papers) and Pancreatic function and diabetes (5 papers). Kan Sun collaborates with scholars based in China and Pakistan. Kan Sun's co-authors include Xiangyun Chang, Jun Li, Yin Liang, Ting Zhou, Chen Zhang, Min Liu, Xiaoli Wang, Lingyun Zhu, Xuan Chen and Peipei Zhang and has published in prestigious journals such as PLoS ONE, Diabetes and Endocrinology.

In The Last Decade

Kan Sun

21 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kan Sun China 12 219 133 57 50 45 21 369
Xiangyun Chang China 12 186 0.8× 128 1.0× 47 0.8× 49 1.0× 44 1.0× 22 356
Marwa Mohamed Atef Egypt 13 161 0.7× 55 0.4× 27 0.5× 41 0.8× 49 1.1× 29 383
Xiaofei Feng China 12 218 1.0× 71 0.5× 22 0.4× 55 1.1× 50 1.1× 31 458
Feixia Shen China 11 200 0.9× 62 0.5× 79 1.4× 59 1.2× 67 1.5× 18 415
Muthukumar Mohan Australia 7 164 0.7× 89 0.7× 24 0.4× 38 0.8× 28 0.6× 10 307
Jelena Munjas Serbia 11 87 0.4× 82 0.6× 36 0.6× 36 0.7× 35 0.8× 34 292
Shuangtong Yan China 11 122 0.6× 48 0.4× 95 1.7× 49 1.0× 62 1.4× 34 322
David Santos Spain 13 140 0.6× 115 0.9× 100 1.8× 160 3.2× 65 1.4× 36 475
Hanying Xing China 13 204 0.9× 155 1.2× 27 0.5× 31 0.6× 70 1.6× 19 406
Guofei Ren China 6 171 0.8× 37 0.3× 74 1.3× 44 0.9× 37 0.8× 8 318

Countries citing papers authored by Kan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Kan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Kan Sun. A scholar is included among the top collaborators of Kan Sun 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 Kan Sun. Kan Sun 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.
Zeng, Tingting, Kan Sun, Xiaosi Hong, et al.. (2025). Extracellular Vesicle–Associated miR-ERIA Exerts the Antiangiogenic Effect of Macrophages in Diabetic Wound Healing. Diabetes. 74(4). 596–610. 3 indexed citations
2.
Liang, Yin, Xiangyun Chang, Jun Li, et al.. (2018). Analysis of PTEN expression and promoter methylation in Uyghur patients with mild type 2 diabetes mellitus. Medicine. 97(49). e13513–e13513. 11 indexed citations
3.
Zhu, Lingyun, Yurong Zhu, Hongbo Yang, et al.. (2017). A case of type B insulin resistance syndrome associated with systemic lupus erythematosus. Zhonghua neifenmi daixie zazhi. 33(11). 982–985. 1 indexed citations
4.
Zhou, Liyan, Wei Wang, Chuan Yang, et al.. (2017). GADD45a Promotes Active DNA Demethylation of the MMP-9 Promoter via Base Excision Repair Pathway in AGEs-Treated Keratinocytes and in Diabetic Male Rat Skin. Endocrinology. 159(2). 1172–1186. 33 indexed citations
5.
Liang, Yin, et al.. (2017). Epigenetic regulation of microRNA-375 and its role as DNA epigenetic marker of type 2 diabetes mellitus in Chinese Han population.. PubMed. 10(12). 11986–11994. 6 indexed citations
6.
Li, Jun, Siyuan Li, Ying Hu, et al.. (2016). The Expression Level of mRNA, Protein, and DNA Methylation Status of FOSL2 of Uyghur in XinJiang in Type 2 Diabetes. Journal of Diabetes Research. 2016. 1–7. 11 indexed citations
7.
Wang, Xiaoli, Fang Ye, Jun Li, et al.. (2016). Impaired secretion of glucagon-like peptide 1 during oral glucose tolerance test in patients with newly diagnosed type 2 diabetes mellitus. Saudi Medical Journal. 37(1). 48–54. 18 indexed citations
8.
Chang, Xinyu, Gang Feng, Tian Zhou, et al.. (2016). Relationship between the polymorphisms in KCNQ1 and type 2 diabetes in Chinese Kazakh population. Genetics and Molecular Research. 15(2). 7 indexed citations
9.
Wang, Xiaoli, Xiangyun Chang, Yurong Zhu, Huan Wang, & Kan Sun. (2016). Metabolically Obese Individuals of Normal Weight Have a High Risk of 25-Hydroxyvitamin D Deficiency. The American Journal of the Medical Sciences. 352(4). 360–367. 7 indexed citations
10.
Liu, Min, et al.. (2016). The inhibiting effect of the Coptis chinensis polysaccharide on the type II diabetic mice. Biomedicine & Pharmacotherapy. 81. 111–119. 41 indexed citations
11.
Wang, Xiaoli, Xiangyun Chang, Xiaoxiao Tang, et al.. (2016). Peripheral invariant natural killer T cell deficiency in metabolically unhealthy but normal weight versus metabolically healthy but obese individuals. Journal of International Medical Research. 44(6). 1272–1282. 8 indexed citations
12.
Siyuan, Li, et al.. (2015). The value of HbA1c for diagnosing type 2 diabetes mellitus between Chinese Uyghurs and Hans in Xinjiang.. PubMed Central. 8(7). 11352–5. 2 indexed citations
13.
Li, Siyuan, et al.. (2015). Effect of glucagon on insulin secretion through cAMP signaling pathway in MIN6 cells.. PubMed. 8(5). 5974–80. 4 indexed citations
14.
Liang, Yin, Lingyun Zhu, Jun Li, et al.. (2015). Association of plasma Fetuin-A and clinical characteristics in patients with new-onset type 2 diabetes mellitus.. PubMed. 8(1). 991–9. 20 indexed citations
15.
Liang, Yin, Xiangyun Chang, Jun Li, et al.. (2014). Association between fetuin-A levels with insulin resistance and carotid intima-media thickness in patients with new-onset type 2 diabetes mellitus. Biomedical Reports. 2(6). 839–842. 20 indexed citations
16.
Wang, Xiaoli, Xiangyun Chang, Jun Li, Yin Liang, & Kan Sun. (2014). DNA methylation of microRNA-375 in impaired glucose tolerance. Experimental and Therapeutic Medicine. 8(3). 775–780. 18 indexed citations
17.
Chang, Xiangyun, Siyuan Li, Jun Li, et al.. (2014). Ethnic Differences in MicroRNA-375 Expression Level and DNA Methylation Status in Type 2 Diabetes of Han and Kazak Populations. Journal of Diabetes Research. 2014. 1–7. 22 indexed citations
18.
Sun, Kan, Xiangyun Chang, Yin Liang, et al.. (2013). Expression and DNA methylation status of microRNA-375 in patients with type 2 diabetes mellitus. Molecular Medicine Reports. 9(3). 967–972. 58 indexed citations
19.
Liang, Yin, Chunxia Liu, Yunzhao Chen, et al.. (2013). Analysis of PTEN Methylation Patterns in Soft Tissue Sarcomas by MassARRAY Spectrometry. PLoS ONE. 8(5). e62971–e62971. 24 indexed citations
20.

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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