Qingfeng Sun

4.3k total citations · 1 hit paper
53 papers, 1.9k citations indexed

About

Qingfeng Sun is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Qingfeng Sun has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 15 papers in Epidemiology and 14 papers in Molecular Biology. Recurrent topics in Qingfeng Sun's work include COVID-19 Clinical Research Studies (11 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis B Virus Studies (7 papers). Qingfeng Sun is often cited by papers focused on COVID-19 Clinical Research Studies (11 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis B Virus Studies (7 papers). Qingfeng Sun collaborates with scholars based in China, United States and Australia. Qingfeng Sun's co-authors include Xiaoyang Wang, Fuhua Yan, Le Qin, Qiqi Cao, Zenghui Cheng, Wenjie Yang, Jianyi Dai, Jieming Qu, Ashan Pan and Ming‐Hua Zheng and has published in prestigious journals such as Gene, Medicine and Journal of Vascular Surgery.

In The Last Decade

Qingfeng Sun

52 papers receiving 1.8k citations

Hit Papers

Clinical characteristics and imaging manifestations of th... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingfeng Sun China 20 839 441 407 291 281 53 1.9k
Jiong Yu China 24 837 1.0× 391 0.9× 416 1.0× 278 1.0× 618 2.2× 76 2.2k
Ci Song China 17 810 1.0× 414 0.9× 204 0.5× 290 1.0× 221 0.8× 62 1.9k
Loek P. Smits Netherlands 14 1.2k 1.4× 368 0.8× 384 0.9× 458 1.6× 685 2.4× 17 2.3k
Baoguang Hu China 21 938 1.1× 244 0.6× 493 1.2× 386 1.3× 665 2.4× 38 2.4k
Haizhou Wang China 20 1.3k 1.5× 300 0.7× 589 1.4× 327 1.1× 372 1.3× 62 2.5k
Yan Ding China 18 447 0.5× 195 0.4× 227 0.6× 273 0.9× 409 1.5× 58 1.4k
Yongxi Zhang China 20 2.2k 2.6× 460 1.0× 1.1k 2.7× 560 1.9× 267 1.0× 56 3.0k
G.C. Ooi Hong Kong 30 1.2k 1.4× 584 1.3× 369 0.9× 433 1.5× 300 1.1× 85 3.3k
Wenxiong Xu China 11 788 0.9× 248 0.6× 238 0.6× 240 0.8× 156 0.6× 55 1.3k
Ruiying Zheng China 10 572 0.7× 221 0.5× 322 0.8× 160 0.5× 291 1.0× 16 1.2k

Countries citing papers authored by Qingfeng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Qingfeng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingfeng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Qingfeng Sun. A scholar is included among the top collaborators of Qingfeng 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 Qingfeng Sun. Qingfeng 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.
Sun, Qingfeng, Shanshan Li, Weicong Ren, et al.. (2025). Discovering Biomarkers for Asymptomatic Tuberculosis via Olink Proteomics and Machine Learning. Journal of Proteome Research. 24(11). 5617–5627.
2.
Deng, Jiehui, Wengang Zhang, Mingyuan Xu, et al.. (2023). Value of spectral CT parameters in predicting the efficacy of neoadjuvant chemotherapy for gastric cancer. Clinical Radiology. 79(1). 51–59. 6 indexed citations
3.
Zheng, Kenneth I., Xiaobo Wang, Huadong Yan, et al.. (2020). Metabolic associated fatty liver disease increases coronavirus disease 2019 disease severity in nondiabetic patients. Journal of Gastroenterology and Hepatology. 36(1). 204–207. 89 indexed citations
4.
Liu, Chenbin, Ling Ye, Xudong Zheng, et al.. (2020). Chest Computed Tomography and Clinical Follow-Up of Discharged Patients with COVID-19 in Wenzhou City, Zhejiang, China. Annals of the American Thoracic Society. 17(10). 1231–1237. 80 indexed citations
5.
Shen, Guanghui, Qingfeng Sun, Ye Yao, et al.. (2020). Role of ADAM9 and miR-126 in the development of abdominal aortic aneurysm. Atherosclerosis. 297. 47–54. 28 indexed citations
6.
Yang, Wenjie, Qiqi Cao, Le Qin, et al.. (2020). Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China. Journal of Infection. 80(4). 388–393. 681 indexed citations breakdown →
7.
Tan, Yiqing, Xiaoyang Wang, Wenjie Yang, et al.. (2020). COVID-19 patients with progressive and non-progressive CT manifestations. PubMed. 7(3). 97–105. 2 indexed citations
8.
Qin, Le, Yanzhao Yang, Qiqi Cao, et al.. (2020). A predictive model and scoring system combining clinical and CT characteristics for the diagnosis of COVID-19. European Radiology. 30(12). 6797–6807. 35 indexed citations
9.
Hong, Liang, Xiaoyang Wang, Shengguo Zhang, et al.. (2020). Clinical and radiographic characteristics, management and short-term outcomes of patients with COVID-19 in Wenzhou, China. BMC Infectious Diseases. 20(1). 841–841. 7 indexed citations
10.
Ding, Jiguang, Qingfeng Sun, Ke Zhou, et al.. (2018). Long noncoding RNA hypoxia-inducible factor 1 alpha-antisense RNA 1 promotes tumor necrosis factor-α-induced apoptosis through caspase 3 in Kupffer cells. Medicine. 97(4). e9483–e9483. 17 indexed citations
11.
Hu, Danping, et al.. (2017). miR-21 promotes α-SMA and collagen I expression in hepatic stellate cells via the Smad7 signaling pathway. Molecular Medicine Reports. 16(4). 4327–4333. 16 indexed citations
12.
Yu, Huanhuan, et al.. (2017). A novel system for predicting liver histopathology in patients with chronic hepatitis B. Medicine. 96(14). e6465–e6465. 4 indexed citations
13.
Liang, Hong, Qingfeng Sun, Ting‐Yan Xu, et al.. (2016). New role and molecular mechanism of Gadd45a in hepatic fibrosis. World Journal of Gastroenterology. 22(9). 2779–2779. 23 indexed citations
14.
Zhang, Hui, et al.. (2015). Resveratrol attenuates the progress of liver fibrosis via the Akt/nuclear factor-κB pathways. Molecular Medicine Reports. 13(1). 224–230. 37 indexed citations
15.
Sun, Qingfeng, et al.. (2014). Mycoplasma pneumoniae infection in hospitalized adult patients with community-acquired pneumonia in China. The Journal of Infection in Developing Countries. 8(10). 1259–1266. 15 indexed citations
16.
Amet, Tohti, Daniel Byrd, Ningjie Hu, et al.. (2014). BST-2 Expression in Human Hepatocytes is Inducible by All Three Types of Interferons and Restricts Production of Hepatitis C Virus. Current Molecular Medicine. 14(3). 349–360. 27 indexed citations
17.
Sun, Qingfeng, Tianyi Wu, Jianguang Lu, et al.. (2013). Upregulation of ATF-3 is correlated with prognosis and proliferation of laryngeal cancer by regulating Cyclin D1 expression.. PubMed Central. 13 indexed citations
19.
Sun, Qingfeng, et al.. (2008). Kimura disease: review of the literature. Internal Medicine Journal. 38(8). 668–672. 91 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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