Ai Fang

1.3k total citations · 1 hit paper
23 papers, 953 citations indexed

About

Ai Fang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Ai Fang has authored 23 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Biomaterials. Recurrent topics in Ai Fang's work include Silk-based biomaterials and applications (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Single-cell and spatial transcriptomics (3 papers). Ai Fang is often cited by papers focused on Silk-based biomaterials and applications (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Single-cell and spatial transcriptomics (3 papers). Ai Fang collaborates with scholars based in China, United States and Canada. Ai Fang's co-authors include Xiaoqun Wang, Qian Wu, Le Sun, Peng Li, Rui Li, Lijie Guo, Suijuan Zhong, Jianwei Liu, Mengdi Wang and Woo‐Ping Ge and has published in prestigious journals such as Cell stem cell, PLoS Biology and Cerebral Cortex.

In The Last Decade

Ai Fang

23 papers receiving 935 citations

Hit Papers

Vascularized human cortic... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Vascularized human cortical organoids (vOrganoids) model cortical development in vivo
    2020 278 citations Yingchao Shi, Le Sun et al. PLoS Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai Fang China 12 526 213 168 127 126 23 953
Talita Glaser Brazil 20 517 1.0× 145 0.7× 81 0.5× 154 1.2× 110 0.9× 55 1.5k
Sungkun Chun South Korea 17 402 0.8× 190 0.9× 109 0.6× 209 1.6× 83 0.7× 39 929
Mahmoudreza Hadjighassem Iran 19 409 0.8× 146 0.7× 99 0.6× 272 2.1× 143 1.1× 70 1.0k
Luke A. Noon United Kingdom 13 480 0.9× 117 0.5× 241 1.4× 549 4.3× 128 1.0× 20 1.3k
Kai Zhao China 23 637 1.2× 177 0.8× 88 0.5× 218 1.7× 61 0.5× 67 1.4k
Luísa Cortes Portugal 22 619 1.2× 170 0.8× 130 0.8× 454 3.6× 54 0.4× 43 1.5k
Carola Millán Chile 18 434 0.8× 176 0.8× 76 0.5× 148 1.2× 62 0.5× 37 1.5k
Sang‐Eun Lee South Korea 18 495 0.9× 125 0.6× 90 0.5× 164 1.3× 46 0.4× 63 1.1k
Hyosung Kim United States 15 336 0.6× 126 0.6× 119 0.7× 91 0.7× 65 0.5× 55 830
Dongliang Ma Singapore 17 673 1.3× 336 1.6× 92 0.5× 357 2.8× 59 0.5× 30 1.7k

Countries citing papers authored by Ai Fang

Since Specialization
Citations

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

Fields of papers citing papers by Ai Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ai Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Ai Fang. A scholar is included among the top collaborators of Ai 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 Ai Fang. Ai 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.
Fang, Ai & C. Ron Yu. (2024). Activity‐dependent formation of the topographic map and the critical period in the development of mammalian olfactory system. genesis. 62(1). e23586–e23586. 3 indexed citations
2.
3.
Li, Yanwei, Guozheng Zhang, Ai Fang, et al.. (2023). A native sericin wound dressing spun directly from silkworms enhances wound healing. Colloids and Surfaces B Biointerfaces. 225. 113228–113228. 37 indexed citations
4.
Fang, Ai, Andrew J. Price, Michael Peterson, et al.. (2023). Identification and Localization of Cell Types in the Mouse Olfactory Bulb Using Slide-SeqV2. Methods in molecular biology. 2710. 171–183. 1 indexed citations
5.
Shi, Yingchao, Le Sun, Mengdi Wang, et al.. (2020). Vascularized human cortical organoids (vOrganoids) model cortical development in vivo. PLoS Biology. 18(5). e3000705–e3000705. 278 indexed citations breakdown →
6.
Zhang, Yeshun, et al.. (2019). A sterile self-assembled sericin hydrogel via a simple two-step process. Polymer Testing. 80. 106016–106016. 34 indexed citations
7.
Zhang, Yeshun, et al.. (2019). A highly transparent, elastic, injectable sericin hydrogel induced by ultrasound. Polymer Testing. 77. 105890–105890. 40 indexed citations
8.
Li, Rui, Le Sun, Ai Fang, et al.. (2017). Recapitulating cortical development with organoid culture in vitro and modeling abnormal spindle-like (ASPM related primary) microcephaly disease. Protein & Cell. 8(11). 823–833. 114 indexed citations
9.
Liu, Jing, Wensu Liu, Lu Yang, et al.. (2017). The Primate-Specific Gene TMEM14B Marks Outer Radial Glia Cells and Promotes Cortical Expansion and Folding. Cell stem cell. 21(5). 635–649.e8. 91 indexed citations
10.
Zhang, Huimin, et al.. (2017). Correlation between compliance in patients with anti-hypertensive therapy and blood pressure control.. PubMed. 30(4(Suppl.)). 1455–1460. 1 indexed citations
11.
Deng, Xiaohui, et al.. (2015). Effect of quercetin on the proliferation of the human ovarian cancer cell line SKOV-3 in vitro. Experimental and Therapeutic Medicine. 10(2). 579–583. 74 indexed citations
12.
Fang, Ai, et al.. (2015). Tribological behaviors of dialkyldithiophosphate-encapsulated Ni nanoparticles prepared by microwave-assisted reaction. Composite Interfaces. 22(5). 353–365. 1 indexed citations
13.
Lv, Jie-Li, Ai Fang, Jun Yang, et al.. (2013). Preparation of Magnetic Dextran-Mitomycin C Prodrug Conjugate and Its in vivo Antitumor Activity. Asian Journal of Chemistry. 25(7). 3562–3568. 3 indexed citations
14.
Wu, Qian, Jing Liu, Ai Fang, et al.. (2013). The Dynamics of Neuronal Migration. Advances in experimental medicine and biology. 800. 25–36. 33 indexed citations
15.
Lv, Jie-Li, et al.. (2013). Preparation of Ginkgolide B Polybutylcyanoacrylate Nanoparticles Suspension Powder-Injection. Asian Journal of Chemistry. 25(8). 4670–4674. 1 indexed citations
16.
Qin, Shuang, et al.. (2013). miR-19a Promotes Cell Growth and Tumorigenesis through Targeting SOCS1 in Gastric Cancer. Asian Pacific Journal of Cancer Prevention. 14(2). 835–840. 45 indexed citations
17.
Chen, Zhigang, et al.. (2013). Pharmacokinetics of diltiazem hydrochloride delay-onset sustained-release pellet capsules in healthy volunteers. Brazilian Journal of Pharmaceutical Sciences. 49(1). 29–38. 3 indexed citations
18.
Wang, Yemin, et al.. (2012). The efficacy and safety of melatonin in concurrent chemotherapy or radiotherapy for solid tumors: a meta-analysis of randomized controlled trials. Cancer Chemotherapy and Pharmacology. 69(5). 1213–1220. 127 indexed citations
19.
Zhang, Jianguo, et al.. (2012). Study on Rational Well Spacing Optimization of Low Permeability Gas Reservoir. Advances in Materials Physics and Chemistry. 2(4). 173–176. 1 indexed citations
20.
Fang, Ai. (2005). THE FLORA OF THE LIUQU FORMATION IN SOUTH TIBET AND ITS CLIMATIC IMPLICATIONS. Gushengwu xuebao. 10 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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