Danfeng Peng

582 total citations
36 papers, 416 citations indexed

About

Danfeng Peng is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Danfeng Peng has authored 36 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Surgery and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Danfeng Peng's work include Pancreatic function and diabetes (10 papers), Genetic Associations and Epidemiology (8 papers) and Diabetes Treatment and Management (6 papers). Danfeng Peng is often cited by papers focused on Pancreatic function and diabetes (10 papers), Genetic Associations and Epidemiology (8 papers) and Diabetes Treatment and Management (6 papers). Danfeng Peng collaborates with scholars based in China, Hong Kong and Canada. Danfeng Peng's co-authors include Weiping Jia, Cheng Hu, Yuqian Bao, Jing Yan, Feng Jiang, Miao Chen, Shiyun Wang, Xue Sun, Dandan Yan and Shanshan Tang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Diabetologia.

In The Last Decade

Danfeng Peng

34 papers receiving 406 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Danfeng Peng 115 102 99 95 90 36 416
Yin-ling Chen 95 0.8× 148 1.5× 98 1.0× 108 1.1× 50 0.6× 22 511
R. Kientsch-Engel 66 0.6× 154 1.5× 69 0.7× 51 0.5× 89 1.0× 18 535
Jinshan Wu 145 1.3× 153 1.5× 77 0.8× 89 0.9× 68 0.8× 16 515
Tomislav Bulum 99 0.9× 203 2.0× 86 0.9× 109 1.1× 51 0.6× 86 502
Norihisa Osawa 128 1.1× 212 2.1× 122 1.2× 47 0.5× 142 1.6× 14 495
Suhua Zhang 87 0.8× 186 1.8× 149 1.5× 53 0.6× 64 0.7× 18 398
Maria Knapik‐Kordecka 115 1.0× 98 1.0× 51 0.5× 60 0.6× 64 0.7× 26 437
Toshihide Shike 117 1.0× 90 0.9× 56 0.6× 74 0.8× 61 0.7× 15 443
Dalia El-Lebedy 98 0.9× 95 0.9× 71 0.7× 86 0.9× 91 1.0× 29 453
Cheng Ho 236 2.1× 71 0.7× 87 0.9× 47 0.5× 46 0.5× 26 526

Countries citing papers authored by Danfeng Peng

Since Specialization
Citations

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

Fields of papers citing papers by Danfeng Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danfeng Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Danfeng Peng. A scholar is included among the top collaborators of Danfeng Peng 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 Danfeng Peng. Danfeng Peng 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.
Wu, Zixuan, et al.. (2025). Glutathione‐Responsive Fluorinated Nanogels Enabling Dual‐Modal Imaging and Photodynamic Therapy. Advanced Healthcare Materials. 15(4). e03300–e03300.
2.
Liu, Wei, Jianbo Xiong, Hongjing Zhao, et al.. (2025). Microplastics and nanoplastics in indoor environments: Current knowledge and future research. Journal of Building Engineering. 114. 114242–114242.
3.
4.
Fan, Yu, Shuting Xie, Tongyu Wang, et al.. (2024). Pancreatic β cell interleukin-22 receptor subunit alpha 1 deficiency impairs β cell function in type 2 diabetes via cytochrome b5 reductase 3. Cell Reports. 43(12). 115057–115057. 2 indexed citations
5.
Yu, Hong‐Ren, Haoyong Yu, Rong Zhang, et al.. (2023). Targeted gene panel provides advantages over whole-exome sequencing for diagnosing obesity and diabetes mellitus. Journal of Molecular Cell Biology. 15(6). 5 indexed citations
6.
Du, Ronghui, Xiaodong Han, Wei Zhu, et al.. (2023). Machine Learning Prediction of Iron Deficiency Anemia in Chinese Premenopausal Women 12 Months after Sleeve Gastrectomy. Nutrients. 15(15). 3385–3385. 9 indexed citations
7.
Chen, Si, Jingyi Lu, Danfeng Peng, et al.. (2023). Incidence rate and risk factors for hypoglycemia among individuals with type 1 diabetes or type 2 diabetes in China receiving insulin treatment. Diabetes Research and Clinical Practice. 206. 110987–110987. 1 indexed citations
8.
Yang, Di, Shaobo Li, Yunfeng Xiao, et al.. (2022). A Reliable Estimate of Visceral Fat Area From Simple Anthropometric Measurements in Chinese Overweight and Obese Individuals. Frontiers in Endocrinology. 13. 916124–916124. 8 indexed citations
9.
Xu, Jie, Jin Li, Jie Chen, et al.. (2022). Common variants in genes involved in islet amyloid polypeptide (IAPP) processing and the degradation pathway are associated with T2DM risk: A Chinese population study. Diabetes Research and Clinical Practice. 185. 109235–109235. 6 indexed citations
10.
Dai, Dongjun, Danfeng Peng, Minggao Guo, et al.. (2019). Synchronous primary hyperparathyroidism, follicular thyroid carcinoma, and papillary thyroid carcinoma. Chinese Medical Journal. 132(2). 240–241. 5 indexed citations
11.
Peng, Danfeng, Jie Wang, Rong Zhang, et al.. (2017). CDKAL1 rs7756992 is associated with diabetic retinopathy in a Chinese population with type 2 diabetes. Scientific Reports. 7(1). 8812–8812. 12 indexed citations
12.
Ma, Xiaojing, Tingting Tang, K Higuchi, et al.. (2017). The effect of glucose-dependent insulinotropic polypeptide (GIP) variants on visceral fat accumulation in Han Chinese populations. Nutrition and Diabetes. 7(5). e278–e278. 12 indexed citations
13.
Yan, Dandan, Jie Wang, Feng Jiang, et al.. (2016). A causal relationship between uric acid and diabetic macrovascular disease in Chinese type 2 diabetes patients: A Mendelian randomization analysis. International Journal of Cardiology. 214. 194–199. 36 indexed citations
14.
Yan, Dandan, Jie Wang, Feng Jiang, et al.. (2016). Association between serum uric acid related genetic loci and diabetic kidney disease in the Chinese type 2 diabetes patients. Journal of Diabetes and its Complications. 30(5). 798–802. 7 indexed citations
15.
Wang, Tiange, Tingting Tang, Jin Li, et al.. (2016). Overall and central obesity with insulin sensitivity and secretion in a Han Chinese population: a Mendelian randomization analysis. International Journal of Obesity. 40(11). 1736–1741. 20 indexed citations
16.
Wang, Tao, Xiaojing Ma, Danfeng Peng, et al.. (2016). Effects of Obesity Related Genetic Variations on Visceral and Subcutaneous Fat Distribution in a Chinese Population. Scientific Reports. 6(1). 20691–20691. 48 indexed citations
17.
Sun, Xue, Rong Zhang, Feng Jiang, et al.. (2015). Common Variants Related to Serum Uric Acid Concentrations Are Associated with Glucose Metabolism and Insulin Secretion in a Chinese Population. PLoS ONE. 10(1). e0116714–e0116714. 21 indexed citations
18.
Peng, Danfeng, Jie Wang, Rong Zhang, et al.. (2015). C-reactive protein genetic variant is associated with diabetic retinopathy in Chinese patients with type 2 diabetes. BMC Endocrine Disorders. 15(1). 8–8. 13 indexed citations
19.
Tang, Shanshan, Rong Zhang, Feng Jiang, et al.. (2014). An Interaction between a FNDC5 Variant and Obesity Modulates Glucose Metabolism in a Chinese Han Population. PLoS ONE. 9(11). e109957–e109957. 18 indexed citations
20.
Sun, Xue, Feng Jiang, Rong Zhang, et al.. (2014). Serum uric acid levels are associated with polymorphisms in the SLC2A9, SF1, and GCKR genes in a Chinese population. Acta Pharmacologica Sinica. 35(11). 1421–1427. 16 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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