Shaokang Pan

2.2k total citations · 1 hit paper
66 papers, 1.4k citations indexed

About

Shaokang Pan is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shaokang Pan has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 23 papers in Nephrology and 19 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shaokang Pan's work include Ferroptosis and cancer prognosis (14 papers), Cancer-related molecular mechanisms research (12 papers) and Chronic Kidney Disease and Diabetes (10 papers). Shaokang Pan is often cited by papers focused on Ferroptosis and cancer prognosis (14 papers), Cancer-related molecular mechanisms research (12 papers) and Chronic Kidney Disease and Diabetes (10 papers). Shaokang Pan collaborates with scholars based in China, United States and Japan. Shaokang Pan's co-authors include Dongwei Liu, Zhangsuo Liu, Qi Feng, Yingjin Qiao, Fengxun Liu, Yang Yang, Zihao Zhao, W. Chen, Ashok Mulchandani and Jiayu Duan and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Experimental Botany.

In The Last Decade

Shaokang Pan

62 papers receiving 1.4k citations

Hit Papers

Quercetin Ameliorates Diabetic Kidney Injury by Inhibitin... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaokang Pan China 23 679 352 328 316 134 66 1.4k
Chen Yu China 23 498 0.7× 186 0.5× 189 0.6× 358 1.1× 133 1.0× 82 1.4k
Rong Wang China 22 482 0.7× 124 0.4× 229 0.7× 441 1.4× 107 0.8× 71 1.3k
Jianwei Tian China 24 506 0.7× 155 0.4× 173 0.5× 605 1.9× 191 1.4× 66 1.5k
Melania Guerrero‐Hue Spain 15 448 0.7× 277 0.8× 191 0.6× 278 0.9× 42 0.3× 22 1.1k
Jiagen Wen China 19 515 0.8× 117 0.3× 145 0.4× 211 0.7× 93 0.7× 47 1.1k
Qiaoling Zhou China 24 705 1.0× 309 0.9× 109 0.3× 539 1.7× 99 0.7× 90 1.7k
Eikan Mishima Japan 24 1.2k 1.8× 636 1.8× 500 1.5× 430 1.4× 72 0.5× 63 2.2k
Yuki Izawa‐Ishizawa Japan 23 421 0.6× 223 0.6× 178 0.5× 120 0.4× 179 1.3× 76 1.5k

Countries citing papers authored by Shaokang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shaokang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaokang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaokang Pan. A scholar is included among the top collaborators of Shaokang Pan 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 Shaokang Pan. Shaokang Pan 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.
Huo, Jin‐Ling, Wenyu Fu, Feng Qi, et al.. (2025). Blockade of neddylation through targeted inhibition of DCN1 alleviates renal fibrosis. Clinical Science. 139(3). 229–246. 1 indexed citations
3.
Liu, Y., Shaokang Pan, Qing Zhang, et al.. (2025). The Gut–Kidney Dialogue: Unraveling the Microbial Symphony in Renal Fibrosis. The FASEB Journal. 39(20). e71179–e71179.
4.
Liu, Yong, Shaokang Pan, Duo Chen, et al.. (2025). Epigenetic Regulation of Ferroptosis in Chronic Kidney Disease: Mechanisms and Implications. Research. 8. 934–934.
6.
Huo, Jin‐Ling, Shaokang Pan, Dongwei Liu, et al.. (2024). Emerging role of antidiabetic drugs in cardiorenal protection. Frontiers in Pharmacology. 15. 1349069–1349069. 8 indexed citations
7.
Chen, Jingfang, Qi Feng, Yingjin Qiao, et al.. (2024). ACSF2 and lysine lactylation contribute to renal tubule injury in diabetes. Diabetologia. 67(7). 1429–1443. 28 indexed citations
8.
Li, Shiyang, Qiuxia Han, Chang Liu, et al.. (2024). Role of ferroptosis in chronic kidney disease. Cell Communication and Signaling. 22(1). 113–113. 22 indexed citations
9.
Gao, Zhong‐Xiuzi, et al.. (2024). Perspectives on the involvement of the gut microbiota in salt-sensitive hypertension. Hypertension Research. 47(9). 2351–2362. 8 indexed citations
10.
Feng, Qi, Xiaoyue Yu, Fengxun Liu, et al.. (2024). Phillygenin improves diabetic nephropathy by inhibiting inflammation and apoptosis via regulating TLR4/MyD88/NF-κB and PI3K/AKT/GSK3β signaling pathways. Phytomedicine. 136. 156314–156314. 9 indexed citations
11.
Zhang, Chaojie, Hui Zhao, Yufan Yan, et al.. (2024). LncRNA evf‐2 Exacerbates Podocyte Injury in Diabetic Nephropathy by Inducing Cell Cycle Re‐entry and Inflammation Through Distinct Mechanisms Triggered by hnRNPU. Advanced Science. 11(47). e2406532–e2406532. 5 indexed citations
12.
Duan, Jiayu, Dongwei Liu, Zihao Zhao, et al.. (2023). Short-term duration of diabetic retinopathy as a predictor for development of diabetic kidney disease. Journal of Translational Internal Medicine. 11(4). 449–458. 9 indexed citations
13.
Zhao, Zihao, Fang Li, Guangpu Li, et al.. (2023). Identification of urinary extracellular vesicles differentially expressed RNAs in diabetic nephropathy via whole-transcriptome integrated analysis. Computers in Biology and Medicine. 166. 107480–107480. 14 indexed citations
14.
Wang, Hui, Xiaoyue Yu, Dongwei Liu, et al.. (2023). VDR Activation Attenuates Renal Tubular Epithelial Cell Ferroptosis by Regulating Nrf2/HO‐1 Signaling Pathway in Diabetic Nephropathy. Advanced Science. 11(10). e2305563–e2305563. 62 indexed citations
15.
Feng, Qi, Yang Yang, Kaidi Ren, et al.. (2023). Broadening horizons: the multifaceted functions of ferroptosis in kidney diseases. International Journal of Biological Sciences. 19(12). 3726–3743. 40 indexed citations
16.
Li, Shiyang, Rui Wang, Yong Liu, et al.. (2022). Ferroptosis: A new insight for treatment of acute kidney injury. Frontiers in Pharmacology. 13. 1065867–1065867. 25 indexed citations
17.
Pan, Shaokang, Zhengyong Li, Yixue Wang, et al.. (2022). A comprehensive weighted gene co-expression network analysis uncovers potential targets in diabetic kidney disease. Journal of Translational Internal Medicine. 0(0). 1 indexed citations
18.
Duan, Jiayu, Chongjian Wang, Shaokang Pan, et al.. (2020). Prevalence and risk factors of chronic kidney disease and diabetic kidney disease in a central Chinese urban population: a cross-sectional survey. BMC Nephrology. 21(1). 115–115. 46 indexed citations
19.
Zhao, Zihao, Dongwei Liu, Shaokang Pan, Jiayu Duan, & Fengxun Liu. (2019). Epidemiological survey of peritoneal dialysis in Henan Province from 2013 to 2018. 35(2). 136–138. 1 indexed citations
20.
Brown, Michelle Q., Shaokang Pan, Radhika Desikan, et al.. (2008). Expression analysis of Arabidopsis vacuolar sorting receptor 3 reveals a putative function in guard cells. Journal of Experimental Botany. 59(6). 1149–1161. 20 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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