Quan Fang

5.6k total citations
280 papers, 3.9k citations indexed

About

Quan Fang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Quan Fang has authored 280 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Molecular Biology, 83 papers in Cardiology and Cardiovascular Medicine and 52 papers in Surgery. Recurrent topics in Quan Fang's work include Neuropeptides and Animal Physiology (46 papers), Receptor Mechanisms and Signaling (34 papers) and Pain Mechanisms and Treatments (27 papers). Quan Fang is often cited by papers focused on Neuropeptides and Animal Physiology (46 papers), Receptor Mechanisms and Signaling (34 papers) and Pain Mechanisms and Treatments (27 papers). Quan Fang collaborates with scholars based in China, United States and Hong Kong. Quan Fang's co-authors include Zhuang Tian, Zhongwei Cheng, Zilong Wang, Carola A. Neumann, Lei Zhao, Yuanqiang Zhang, Chunmao Han, Songxue Guo, Rui Wang and Mengna Zhang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Quan Fang

265 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quan Fang China 31 1.6k 656 652 642 424 280 3.9k
Yongfen Qi China 39 1.7k 1.0× 629 1.0× 551 0.8× 800 1.2× 585 1.4× 130 4.6k
Min Li China 33 1.4k 0.9× 380 0.6× 938 1.4× 278 0.4× 348 0.8× 200 4.2k
Allan Z. Zhao China 37 1.8k 1.1× 345 0.5× 457 0.7× 809 1.3× 518 1.2× 111 4.6k
Yi‐Chu Liao Taiwan 40 1.7k 1.0× 372 0.6× 503 0.8× 514 0.8× 325 0.8× 225 4.6k
Ran Liu China 46 2.0k 1.2× 273 0.4× 780 1.2× 845 1.3× 436 1.0× 190 5.8k
Felipe Simón Chile 39 1.9k 1.2× 393 0.6× 316 0.5× 1.0k 1.6× 302 0.7× 137 4.3k
Nunzia Bernardini Italy 35 817 0.5× 403 0.6× 416 0.6× 709 1.1× 582 1.4× 136 3.4k
Ralf Kinscherf Germany 42 1.8k 1.1× 407 0.6× 345 0.5× 1.1k 1.7× 624 1.5× 174 5.1k
Yuhui Wang China 31 1.5k 0.9× 464 0.7× 293 0.4× 755 1.2× 943 2.2× 190 3.9k

Countries citing papers authored by Quan Fang

Since Specialization
Citations

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

Fields of papers citing papers by Quan Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Fang. A scholar is included among the top collaborators of Quan Fang 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 Quan Fang. Quan Fang 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.
Li, Ning, Mengna Zhang, Biao Xu, et al.. (2025). A novel peptide‐fentanyl conjugate with μ‐opioid and neuropeptide FF receptor agonism produces antinociception with limited side effects in male mice. British Journal of Pharmacology. 182(24). 6136–6157.
2.
Chen, Haonan, et al.. (2025). A Deep Learning‐Based Multimodal Fusion Model for Recurrence Prediction in Persistent Atrial Fibrillation Patients. Journal of Cardiovascular Electrophysiology. 36(8). 1785–1797.
3.
Xu, Biao, et al.. (2025). Advances in GLP-1 receptor agonists for pain treatment and their future potential. The Journal of Headache and Pain. 26(1). 46–46. 6 indexed citations
4.
Fang, Quan & Ping Jin. (2024). Clinical significance of MRI-DWI and PWI scans in identifying benign prostatic hyperplasia and prostate cancer. SHILAP Revista de lepidopterología. 20(3). 83–83.
5.
Zhang, Mengna, Dan Chen, Biao Xu, et al.. (2024). Conorphin-66 produces peripherally restricted antinociception via the kappa-opioid receptor with limited side effects. Neuropharmacology. 261. 110157–110157. 3 indexed citations
6.
7.
Rizvi, Syed Faheem Askari, Haixia Zhang, & Quan Fang. (2024). Engineering peptide drug therapeutics through chemical conjugation and implication in clinics. Medicinal Research Reviews. 44(6). 2420–2471. 16 indexed citations
8.
Zhang, Run, Biao Xu, Nan Zhang, et al.. (2022). Spinal microglia-derived TNF promotes the astrocytic JNK/CXCL1 pathway activation in a mouse model of burn pain. Brain Behavior and Immunity. 102. 23–39. 20 indexed citations
9.
Zhang, Yang, Ying Xiao, Yongtai Liu, et al.. (2021). Prognostic Value of Circulating sST2 for the Prediction of Mortality in Patients With Cardiac Light-Chain Amyloidosis. Frontiers in Cardiovascular Medicine. 7. 597472–597472. 5 indexed citations
10.
Guo, Songxue, Quan Fang, Ping Zhang, et al.. (2021). Astaxanthin protects against early acute kidney injury in severely burned rats by inactivating the TLR4/MyD88/NF-κB axis and upregulating heme oxygenase-1. Scientific Reports. 11(1). 6679–6679. 28 indexed citations
11.
Lei, Chuxiang, Wenjun Xie, Yan Li, et al.. (2020). Oxidation of Ryanodine Receptors Promotes Ca 2+ Leakage and Contributes to Right Ventricular Dysfunction in Pulmonary Hypertension. Hypertension. 77(1). 59–71. 25 indexed citations
12.
Liu, Lifeng, et al.. (2019). Knockdown of FOXJ1 inhibits the proliferation, migration, invasion, and glycolysis in laryngeal squamous cell carcinoma cells. Journal of Cellular Biochemistry. 120(9). 15874–15882. 8 indexed citations
13.
14.
Ji, Jin, Ligang Fang, & Quan Fang. (2017). Clinical analysis of 104 cases with cardiac amyloidosis. 1(2). 98–103. 1 indexed citations
15.
Wang, Hui, Xiaoxiao Guo, Zhuang Tian, et al.. (2016). Intracardiac thrombus in patients with Behcet’s disease: clinical correlates, imaging features, and outcome: a retrospective, single-center experience. Clinical Rheumatology. 35(10). 2501–2507. 17 indexed citations
16.
Qi, Liping, Lianfeng Chen, Aimin Dang, et al.. (2015). Association Between the ABCA1 -565C/T Gene Promoter Polymorphism and Coronary Heart Disease Severity and Cholesterol Efflux in the Chinese Han Population. Genetic Testing and Molecular Biomarkers. 19(7). 347–352. 9 indexed citations
17.
Kesarwani, Pravin, Amir A. Al-Khami, Gina Scurti, et al.. (2014). Promoting Thiol Expression Increases the Durability of Antitumor T-cell Functions. Cancer Research. 74(21). 6036–6047. 39 indexed citations
18.
Yang, Dan, Jing Liu, Cui Tian, et al.. (2010). Epigallocatechin gallate inhibits angiotensin II-induced endothelial barrier dysfunction via inhibition of the p38 MAPK/HSP27 pathway. Acta Pharmacologica Sinica. 31(10). 1401–1406. 21 indexed citations
19.
Fang, Quan, Yiqing Wang, Feng He, et al.. (2008). Inhibition of neuropeptide FF (NPFF)-induced hypothermia and anti-morphine analgesia by RF9, a new selective NPFF receptors antagonist. Regulatory Peptides. 147(1-3). 45–51. 45 indexed citations
20.
Fang, Quan, et al.. (2006). The meningioma diagnostic value with digital subtraction cerebral angiography. Journal of interventional radiology. 1 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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