Fang Wang

9.3k total citations
313 papers, 6.2k citations indexed

About

Fang Wang is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fang Wang has authored 313 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Molecular Biology, 63 papers in Ophthalmology and 60 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fang Wang's work include Retinal Diseases and Treatments (43 papers), Cancer-related molecular mechanisms research (35 papers) and Acute Myeloid Leukemia Research (25 papers). Fang Wang is often cited by papers focused on Retinal Diseases and Treatments (43 papers), Cancer-related molecular mechanisms research (35 papers) and Acute Myeloid Leukemia Research (25 papers). Fang Wang collaborates with scholars based in China, United States and Egypt. Fang Wang's co-authors include Shuai Yang, Le Feng, Li Deng, Ding Xu, Tianwei Tan, Lance Wallace, Cynthia Howard-Reed, Andrew K. Persily, Guo‐Tong Xu and Jingfa Zhang and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Fang Wang

299 papers receiving 6.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang Wang China 41 3.3k 1.7k 937 747 462 313 6.2k
Bin Lü China 50 5.9k 1.8× 891 0.5× 799 0.9× 643 0.9× 505 1.1× 203 8.2k
Yuhong Chen China 44 3.2k 1.0× 1.2k 0.7× 1.0k 1.1× 625 0.8× 1.7k 3.6× 264 7.0k
Xiaomin Zhang China 41 3.0k 0.9× 962 0.6× 745 0.8× 748 1.0× 724 1.6× 320 6.6k
Shusheng Wang United States 40 5.9k 1.8× 3.5k 2.1× 599 0.6× 356 0.5× 717 1.6× 108 8.3k
Bogusław Machaliński Poland 39 2.6k 0.8× 623 0.4× 527 0.6× 410 0.5× 813 1.8× 290 5.9k
Jin Woo Kim South Korea 39 3.2k 0.9× 804 0.5× 350 0.4× 272 0.4× 647 1.4× 201 5.9k
Xiaoyan Li China 36 3.2k 1.0× 656 0.4× 359 0.4× 371 0.5× 380 0.8× 284 5.6k
Ikuo Morita Japan 51 4.9k 1.5× 1.2k 0.7× 660 0.7× 624 0.8× 939 2.0× 258 10.3k
Jian‐xing Ma United States 62 7.5k 2.2× 1.1k 0.6× 4.3k 4.6× 2.0k 2.7× 778 1.7× 296 12.1k
Dandan Wang China 40 1.7k 0.5× 561 0.3× 247 0.3× 349 0.5× 1.1k 2.4× 160 5.4k

Countries citing papers authored by Fang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wang. A scholar is included among the top collaborators of Fang Wang 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 Fang Wang. Fang Wang 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.
Ge, Lihao, Li Xu, Yueming Xu, et al.. (2025). Drug-Carrying Bottlebrush Copolymers via ROMP of Anionically Polymerized Hyperbranched Polyglycerol. Macromolecules. 58(8). 4262–4271.
2.
Wang, Lianmei, Yuan Wang, Yong Zhao, et al.. (2024). Long-term toxicity evaluation of aristolochic acid-IIIa in mice. Toxicology. 506. 153838–153838.
3.
Wang, Shujin, Mengqian Hou, Dietbert Neumann, et al.. (2024). Glycolysis-Mediated Activation of v-ATPase by Nicotinamide Mononucleotide Ameliorates Lipid-Induced Cardiomyopathy by Repressing the CD36-TLR4 Axis. Circulation Research. 134(5). 505–525. 16 indexed citations
4.
Xu, Tao, et al.. (2024). The association of coronary artery disease with heart rate at anaerobic threshold and respiratory compensatory point. Frontiers in Cardiovascular Medicine. 11. 1442857–1442857.
5.
Liu, Cheng-Yi, Pengcheng Xu, Fang Wang, et al.. (2023). The value of urinary exosomal lncRNA SNHG16 as a diagnostic biomarker for bladder cancer. Molecular Biology Reports. 50(10). 8297–8304. 18 indexed citations
6.
Gao, Fan, et al.. (2023). Evidence for Existence of Multiple Functional Human Small RNAs Derived from Transcripts of Protein-Coding Genes. International Journal of Molecular Sciences. 24(4). 4163–4163. 2 indexed citations
7.
Wang, Xinfa, Xianbo Zhou, Fang Wang, et al.. (2023). Long noncoding RNA TPTEP1 suppresses diabetic retinopathy by reducing oxidative stress and targeting the miR-489-3p/NRF2 axis. Acta Biochimica Polonica. 70(1). 45–50. 5 indexed citations
8.
Qu, Jinfeng, Xiuju Chen, Qinghuai Liu, et al.. (2023). Prophylactic intravitreal injection of aflibercept for preventing postvitrectomy hemorrhage in proliferative diabetic retinopathy: A randomized controlled trial. Frontiers in Public Health. 10. 1067670–1067670. 3 indexed citations
9.
Ma, Xiangrui, et al.. (2022). Competing endogenous RNA analysis reveals the regulatory potency of CKAP5 in HPV + HNSCC. Oral Diseases. 29(8). 3152–3156. 1 indexed citations
10.
Wang, Fang, Wei Hou, Yingchen Xu, et al.. (2020). ABL1, Overexpressed in Hepatocellular Carcinomas, Regulates Expression of NOTCH1 and Promotes Development of Liver Tumors in Mice. Gastroenterology. 159(1). 289–305.e16. 29 indexed citations
11.
Qiu, Qiang, Minghai Tang, Fang Wang, et al.. (2019). Purinostat Mesylate Is a Uniquely Potent and Selective Inhibitor of HDACs for the Treatment of BCR-ABL –Induced B-Cell Acute Lymphoblastic Leukemia. Clinical Cancer Research. 25(24). 7527–7539. 16 indexed citations
12.
13.
Lv, Jiao, Zhihao Mu, Fang Wang, et al.. (2018). Intravitreal Bevacizumab Injection Attenuates Diabetic Retinopathy in Adult Rats with Experimentally Induced Diabetes in the Early Stage. Journal of Diabetes Research. 2018. 1–18. 10 indexed citations
14.
Xu, Xiaomeng, Deren Wang, Fang Wang, et al.. (2018). The Risk of Hemorrhagic Transformation After Thrombolysis for Acute Ischemic Stroke in Chinese Versus North Americans: A Comparative Study. Journal of Stroke and Cerebrovascular Diseases. 27(9). 2381–2387. 8 indexed citations
16.
Chen, Xuemei, et al.. (2015). Role of Wnt5a in the differentiation of human embryonic stem cells into endometrium-like cells.. PubMed. 8(5). 5478–84. 8 indexed citations
17.
Wang, Fang, et al.. (2015). Patient-Reported Visual Function in Patients with Geographic Atrophy Secondary to Age-related Macular Degeneration (AMD): Baseline Characteristics of the BAM114341 Cohort. Investigative Ophthalmology & Visual Science. 56(7). 2811–2811. 1 indexed citations
18.
Zhang, Shuangwei, Runmei Li, Fang Wang, et al.. (2015). Effects of Ilexoside E on Hypoxia/Reoxygenation Injury of H9C2 Myocardial Cells and Its Mechanism. Traditional Chinese Drug Research and Clinical Pharmacology. 591–595. 1 indexed citations
19.
Li, Weiye, et al.. (2013). Contribution of Breakdown of Outer Blood-retinal Barrier (BOBRB) to Diabetic Macular Edema. Investigative Ophthalmology & Visual Science. 54(15). 219–219. 1 indexed citations
20.
Wang, Fang. (1996). Die konzessive Beziehung in der deutschen Gegenwartssprache : Untersuchung zu ihrer Syntax, Semantik und Pragmatik. P. Lang eBooks. 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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