Panfeng Wang

2.9k total citations · 1 hit paper
109 papers, 2.1k citations indexed

About

Panfeng Wang is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, Panfeng Wang has authored 109 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 49 papers in Ophthalmology and 29 papers in Genetics. Recurrent topics in Panfeng Wang's work include Retinal Development and Disorders (36 papers), Retinal Diseases and Treatments (31 papers) and Glaucoma and retinal disorders (17 papers). Panfeng Wang is often cited by papers focused on Retinal Development and Disorders (36 papers), Retinal Diseases and Treatments (31 papers) and Glaucoma and retinal disorders (17 papers). Panfeng Wang collaborates with scholars based in China, United States and France. Panfeng Wang's co-authors include Qingjiong Zhang, Shiqiang Li, Xueshan Xiao, Xiangming Guo, Xiaoyun Jia, Wenmin Sun, Yuntong Zhang, Zichen Hao, Shuo Fang and Yan Xia and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Panfeng Wang

105 papers receiving 2.1k citations

Hit Papers

Umbilical Mesenchymal Stem Cell-Derived Exosome-Encapsula... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panfeng Wang China 24 1.5k 748 406 386 259 109 2.1k
Hardeep Singh Mudhar United Kingdom 21 563 0.4× 622 0.8× 125 0.3× 463 1.2× 264 1.0× 122 2.0k
Jane Ashworth United Kingdom 28 630 0.4× 712 1.0× 658 1.6× 334 0.9× 337 1.3× 87 2.2k
Clyde Guidry United States 25 1.0k 0.7× 994 1.3× 169 0.4× 783 2.0× 42 0.2× 41 2.4k
Martin P. Snead United Kingdom 29 522 0.3× 1.0k 1.4× 1.1k 2.8× 1.1k 3.0× 228 0.9× 94 2.5k
J.C. Murray United States 17 1.1k 0.7× 134 0.2× 747 1.8× 131 0.3× 77 0.3× 24 1.9k
Nicole Dünker Germany 20 944 0.6× 183 0.2× 153 0.4× 103 0.3× 56 0.2× 60 1.8k
Gary S. L. Peh Singapore 32 890 0.6× 597 0.8× 100 0.2× 2.1k 5.4× 79 0.3× 83 3.2k
Oliver Brandau Germany 19 906 0.6× 135 0.2× 286 0.7× 73 0.2× 87 0.3× 38 1.9k
Ben Mead United Kingdom 20 1.3k 0.8× 511 0.7× 72 0.2× 397 1.0× 38 0.1× 39 2.0k
Robert D. Sampson United Kingdom 18 1.0k 0.7× 149 0.2× 130 0.3× 95 0.2× 158 0.6× 28 1.5k

Countries citing papers authored by Panfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Panfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panfeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Panfeng Wang. A scholar is included among the top collaborators of Panfeng 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 Panfeng Wang. Panfeng 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
3.
Xiao, Xueshan, Wenmin Sun, Shiqiang Li, et al.. (2024). Clinical and genetic risk factors underlying severe consequence identified in 75 families with unilateral high myopia. Journal of Translational Medicine. 22(1). 75–75. 7 indexed citations
4.
Wang, Panfeng, Shiqiang Li, Yi Jiang, et al.. (2024). Clinical and genetic landscape of optic atrophy in 826 families: insights from 50 nuclear genes. Brain. 148(5). 1604–1620. 2 indexed citations
5.
Li, Xueqing, Hui Xiao, Xueshan Xiao, et al.. (2024). Clinical features of patients with mutations in genes for nanophthalmos. British Journal of Ophthalmology. 108(12). 1679–1687. 1 indexed citations
6.
Zhen, Yi, Xueshan Xiao, Shiqiang Li, et al.. (2023). Clinical and Genetic Features of NR2E3-Associated Retinopathy: A Report of Eight Families with a Longitudinal Study and Literature Review. Genes. 14(8). 1525–1525. 3 indexed citations
7.
Zhen, Yi, Yingwei Wang, Yi Jiang, et al.. (2023). FDXR-Associated Oculopathy: Congenital Amaurosis and Early-Onset Severe Retinal Dystrophy as Common Presenting Features in a Chinese Population. Genes. 14(4). 952–952. 8 indexed citations
8.
Wang, Yingwei, Yi Jiang, Yi Zhen, et al.. (2023). New Insight into the Genotype-Phenotype Correlation of PRPH2-Related Diseases Based on a Large Chinese Cohort and Literature Review. International Journal of Molecular Sciences. 24(7). 6728–6728. 6 indexed citations
9.
Li, Shiqiang, Yi Jiang, Zhen Yi, et al.. (2023). Pathogenic Variants in CEP290 or IQCB1 Cause Earlier-Onset Retinopathy in Senior-Loken Syndrome Compared to Those in INVS, NPHP3, or NPHP4. American Journal of Ophthalmology. 252. 188–204. 8 indexed citations
10.
Zhou, Wenhui, et al.. (2023). Defect of TIMP4 Is Associated with High Myopia and Participates in Rat Ocular Development in a Dose-Dependent Manner. International Journal of Molecular Sciences. 24(23). 16928–16928. 4 indexed citations
11.
Wang, Jingpin, Siwei Zhang, Lin Zhuo, et al.. (2023). Relationship between night shift and sleep problems, risk of metabolic abnormalities of nurses: a 2 years follow-up retrospective analysis in the National Nurse Health Study (NNHS). International Archives of Occupational and Environmental Health. 96(10). 1361–1371. 13 indexed citations
12.
Wang, Yingwei, Yi Jiang, Shiqiang Li, et al.. (2023). Variant Landscape of 15 Genes Involved in Corneal Dystrophies: Report of 30 Families and Comprehensive Analysis of the Literature. International Journal of Molecular Sciences. 24(5). 5012–5012.
13.
Wang, Yingwei, Xueshan Xiao, Xueqing Li, et al.. (2022). Genetic and clinical landscape ofARR3-associated MYP26: the most common cause of Mendelian early-onset high myopia with a unique inheritance. British Journal of Ophthalmology. 107(10). 1545–1553. 19 indexed citations
14.
Sun, Wenmin, Xueshan Xiao, Shiqiang Li, et al.. (2021). Clinical and genetic features of retinoschisis in 120 families withRS1mutations. British Journal of Ophthalmology. 107(3). 367–372. 11 indexed citations
15.
Wang, Panfeng, Xiaoyun Jia, Wenmin Sun, et al.. (2021). Pathogenicity evaluation and the genotype–phenotype analysis of OPA1 variants. Molecular Genetics and Genomics. 296(4). 845–862. 5 indexed citations
16.
Xiao, Xueshan, Shiqiang Li, Xiaoyun Jia, et al.. (2021). Severe Exudative Vitreoretinopathy as a Common Feature for CTNNB1, KIF11 and NDP Variants Plus Sector Degeneration for KIF11. American Journal of Ophthalmology. 235. 178–187. 5 indexed citations
17.
Sun, Wenmin, Shiqiang Li, Xiaoyun Jia, et al.. (2020). Structural variations in a non-coding region at 1q32.1 are responsible for the NYS7 locus in two large families. Human Genetics. 139(8). 1057–1064. 4 indexed citations
18.
Huang, Li, Limei Sun, Zhirong Wang, et al.. (2020). Clinical manifestation and genetic analysis in Chinese early onset X‐linked retinoschisis. Molecular Genetics & Genomic Medicine. 8(10). e1421–e1421. 14 indexed citations
19.
Li, Shiqiang, et al.. (2012). Identification of FZD4 and LRP5 mutations in 11 of 49 families with familial exudative vitreoretinopathy.. PubMed Central. 36 indexed citations
20.
Wang, Panfeng, Zhikuan Yang, Shiqiang Li, et al.. (2009). Evaluation of MFRP as a candidate gene for high hyperopia.. PubMed. 15. 181–6. 12 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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