Bing Feng

1.1k total citations
35 papers, 865 citations indexed

About

Bing Feng is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Bing Feng has authored 35 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Epidemiology. Recurrent topics in Bing Feng's work include Medical Imaging Techniques and Applications (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Autophagy in Disease and Therapy (4 papers). Bing Feng is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Autophagy in Disease and Therapy (4 papers). Bing Feng collaborates with scholars based in China, United States and Australia. Bing Feng's co-authors include Jiao Mu, Wei Zeng, Yanhong Guo, Yuan Fa-huan, Qi Pang, Wei Qi, Zhi-Feng Luo, Ling Nie, Li Liu and Yiqin Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Bing Feng

32 papers receiving 853 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Feng China 16 349 208 156 146 144 35 865
Carole Hénique France 17 355 1.0× 384 1.8× 63 0.4× 138 0.9× 205 1.4× 24 1.1k
Jee In Kim South Korea 17 389 1.1× 323 1.6× 66 0.4× 162 1.1× 71 0.5× 28 1.1k
Mi Ra Noh South Korea 17 334 1.0× 167 0.8× 61 0.4× 75 0.5× 92 0.6× 34 826
Jun Matsuda Japan 16 296 0.8× 286 1.4× 58 0.4× 153 1.0× 349 2.4× 34 981
Jurong Yang China 11 354 1.0× 366 1.8× 80 0.5× 87 0.6× 120 0.8× 13 890
Gunilla Thulin United States 18 425 1.2× 175 0.8× 134 0.9× 157 1.1× 45 0.3× 34 846
Ali Hariri United States 13 399 1.1× 115 0.6× 63 0.4× 108 0.7× 312 2.2× 23 926
Scott K. Van Why United States 19 476 1.4× 228 1.1× 130 0.8× 118 0.8× 58 0.4× 31 939
Jun‐Ya Kaimori Japan 13 326 0.9× 348 1.7× 51 0.3× 203 1.4× 356 2.5× 26 1.1k
Yusuke Nakagawa Japan 21 501 1.4× 191 0.9× 79 0.5× 330 2.3× 117 0.8× 86 1.7k

Countries citing papers authored by Bing Feng

Since Specialization
Citations

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

Fields of papers citing papers by Bing Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Feng. A scholar is included among the top collaborators of Bing Feng 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 Bing Feng. Bing Feng 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.
Feng, Bing, et al.. (2025). Investigation on bearing characteristics of helical pile under combined vertical and lateral loads. Journal of Physics Conference Series. 3006(1). 12044–12044.
2.
Zhou, Zihao, Lipeng Tang, Ying Zhu, et al.. (2025). Huanglian Wendan decoction alleviates metabolic syndrome by reprogramming macrophage polarization: Evidence from multi-omics integration. Phytomedicine. 146. 157119–157119.
3.
Yang, Ying, Yi Chen, Jian Chen, et al.. (2025). MiR-29a-3p inhibits fibrosis of diabetic kidney disease in diabetic mice via downregulation of DNA methyl transferase 3A and 3B. World Journal of Diabetes. 16(4). 93630–93630.
4.
Feng, Bing, Wentao Deng, Xiang Zhang, et al.. (2022). Pine-Fiber-Derived Carbon@MnO@rGO as Advanced Anodes for Improving Lithium Storage Properties. Coatings. 12(8). 1139–1139. 1 indexed citations
5.
Zeng, Wei, Wei Qi, Jiao Mu, et al.. (2019). MG132 protects against renal dysfunction by regulating Akt-mediated inflammation in diabetic nephropathy. Scientific Reports. 9(1). 2049–2049. 20 indexed citations
6.
Xiong, Jiachuan, Ting He, Min Wang, et al.. (2019). Serum magnesium, mortality, and cardiovascular disease in chronic kidney disease and end-stage renal disease patients: a systematic review and meta-analysis. Journal of Nephrology. 32(5). 791–802. 56 indexed citations
7.
Xiong, Jiachuan, Min Wang, Ying Zhang, et al.. (2018). Association of Geriatric Nutritional Risk Index with Mortality in Hemodialysis Patients: A Meta-Analysis of Cohort Studies. Kidney & Blood Pressure Research. 43(6). 1878–1889. 83 indexed citations
8.
Yu, Yanlin, Xu Guan, Ling Nie, et al.. (2017). DNA hypermethylation of sFRP5 contributes to indoxyl sulfate-induced renal fibrosis. Journal of Molecular Medicine. 95(6). 601–613. 30 indexed citations
9.
Feng, Bing, Zhexue Qin, Youguang Zhao, et al.. (2015). Activation of farnesoid X receptor downregulates visfatin and attenuates diabetic nephropathy. Molecular and Cellular Endocrinology. 419. 72–82. 21 indexed citations
10.
Xiong, Jiachuan, Yiqin Wang, Ying Zhang, et al.. (2015). Lack of Association between Interleukin-10 Gene Polymorphisms and Graft Rejection Risk in Kidney Transplantation Recipients: A Meta-Analysis. PLoS ONE. 10(6). e0127540–e0127540. 11 indexed citations
11.
Zeng, Wei, Yanhong Guo, Wei Qi, et al.. (2014). 4-Phenylbutyric acid suppresses inflammation through regulation of endoplasmic reticulum stress of endothelial cells stimulated by uremic serum. Life Sciences. 103(1). 15–24. 31 indexed citations
12.
Mu, Jiao, Qi Pang, Yanhong Guo, et al.. (2013). Functional Implications of MicroRNA-215 in TGF-β1-Induced Phenotypic Transition of Mesangial Cells by Targeting CTNNBIP1. PLoS ONE. 8(3). e58622–e58622. 76 indexed citations
13.
Feng, Bing, et al.. (2013). Effect of chronic renal failure medium on the ubiquitin-proteasome pathway of arterial muscle cells. Molecular Medicine Reports. 7(3). 1021–1025. 4 indexed citations
14.
Luo, Zhi-Feng, Wei Qi, Bing Feng, et al.. (2011). Prevention of diabetic nephropathy in rats through enhanced renal antioxidative capacity by inhibition of the proteasome. Life Sciences. 88(11-12). 512–520. 65 indexed citations
15.
Feng, Bing, Jiao Mu, Yuan Fa-huan, et al.. (2011). Uraemic serum induces dysfunction of vascular endothelial cells: role of ubiquitin-proteasome pathway. Experimental Physiology. 96(8). 801–815. 7 indexed citations
16.
Mu, Jiao, et al.. (2010). Visfatin is related to lipid dysregulation, endothelial dysfunction and atherosclerosis in patients with chronic kidney disease. Journal of Nephrology. 24(2). 177–184. 28 indexed citations
17.
Feng, Bing, Jiao Mu, Wei Zeng, et al.. (2010). Preventive Effect of a Proteasome Inhibitor on the Formation of Accelerated Atherosclerosis in Rabbits With Uremia. Journal of Cardiovascular Pharmacology. 55(2). 129–138. 24 indexed citations
18.
Qi, Wei, Jiao Mu, Zhi-Feng Luo, et al.. (2010). Attenuation of diabetic nephropathy in diabetes rats induced by streptozotocin by regulating the endoplasmic reticulum stress inflammatory response. Metabolism. 60(5). 594–603. 86 indexed citations
19.
Feng, Bing. (2006). Analysis on the causes of grassland degradation in Maqu County. 2 indexed citations
20.
Feng, Bing, Jeffrey A. Fessler, & Michael A. King. (2006). Incorporation of system resolution compensation (RC) in the ordered-subset transmission (OSTR) algorithm for transmission imaging in SPECT. IEEE Transactions on Medical Imaging. 25(7). 941–949. 10 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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