Francesco Faiola

4.0k total citations
86 papers, 2.8k citations indexed

About

Francesco Faiola is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Materials Chemistry. According to data from OpenAlex, Francesco Faiola has authored 86 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 31 papers in Health, Toxicology and Mutagenesis and 11 papers in Materials Chemistry. Recurrent topics in Francesco Faiola's work include Pluripotent Stem Cells Research (26 papers), Effects and risks of endocrine disrupting chemicals (23 papers) and Genomics and Chromatin Dynamics (9 papers). Francesco Faiola is often cited by papers focused on Pluripotent Stem Cells Research (26 papers), Effects and risks of endocrine disrupting chemicals (23 papers) and Genomics and Chromatin Dynamics (9 papers). Francesco Faiola collaborates with scholars based in China, United States and United Kingdom. Francesco Faiola's co-authors include Nuoya Yin, Renjun Yang, Ernest Martinez, Jianlong Wang, Arven Saunders, Shengxian Liang, Junjun Ding, Shaojun Liang, Yuanliang Wang and Songqin Pan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Francesco Faiola

82 papers receiving 2.8k citations

Peers

Francesco Faiola
Brad L. Upham United States
Nancy Lan Guo United States
Thomas Kluz United States
Mi Deng China
Brad L. Upham United States
Francesco Faiola
Citations per year, relative to Francesco Faiola Francesco Faiola (= 1×) peers Brad L. Upham

Countries citing papers authored by Francesco Faiola

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Faiola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Faiola

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Faiola. A scholar is included among the top collaborators of Francesco Faiola 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 Francesco Faiola. Francesco Faiola 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
2.
Yang, Renjun, Nuoya Yin, & Francesco Faiola. (2025). Integrative transcriptomics analysis reveals convergent toxicological effects of perfluorooctanoic acid and perfluorooctane sulfonate on human liver: Evidence from multiple models. Journal of Hazardous Materials. 492. 138112–138112. 2 indexed citations
3.
Li, Shichang, Miaomiao Zhao, Shuxian Zhang, et al.. (2024). Assessing developmental neurotoxicity of emerging environmental chemicals using multiple in vitro models: A comparative analysis. Environmental Pollution. 347. 123743–123743. 1 indexed citations
4.
Yin, Nuoya, et al.. (2024). Recent advances in environmental toxicology: Exploring gene editing, organ-on-a-chip, chimeric animals, and in silico models. Food and Chemical Toxicology. 193. 115022–115022. 5 indexed citations
5.
Zhao, Miaomiao, Nuoya Yin, Renjun Yang, et al.. (2023). Understanding the effects of per- and polyfluoroalkyl substances on early skin development: Role of ciliogenesis inhibition and altered microtubule dynamics. The Science of The Total Environment. 913. 169702–169702. 12 indexed citations
6.
Ren, Zhihua, Xiaoxi Yang, Tingting Ku, et al.. (2023). Perfluorinated iodine alkanes promote the differentiation of mouse embryonic stem cells by regulating estrogen receptor signaling. Journal of Environmental Sciences. 137. 443–454. 7 indexed citations
7.
Yang, Lili, Manabu Shiraiwa, Francesco Faiola, et al.. (2023). Unexpected hydroxyl radical production in brewed tea under sunlight. PNAS Nexus. 3(1). pgae015–pgae015. 2 indexed citations
8.
Ren, Zhihua, Tingting Ku, Xiaoxi Yang, et al.. (2022). Perfluorinated Iodine Alkanes Promoted Neural Differentiation of mESCs by Targeting miRNA-34a-5p in Notch-Hes Signaling. Environmental Science & Technology. 56(12). 8496–8506. 16 indexed citations
9.
Yang, Renjun, Nuoya Yin, Ying Zhao, et al.. (2022). Adverse Events During Pregnancy Associated With Entecavir and Adefovir: New Insights From a Real-World Analysis of Cases Reported to FDA Adverse Event Reporting System. Frontiers in Pharmacology. 12. 772768–772768. 18 indexed citations
10.
Liu, Shuyu, Renjun Yang, Yongjiu Chen, et al.. (2021). Development of Human Lung Induction Models for Air Pollutants’ Toxicity Assessment. Environmental Science & Technology. 55(4). 2440–2451. 28 indexed citations
11.
Ku, Tingting, Fang Hao, Xiaoxi Yang, et al.. (2021). Graphene Quantum Dots Disrupt Embryonic Stem Cell Differentiation by Interfering with the Methylation Level of Sox2. Environmental Science & Technology. 55(5). 3144–3155. 29 indexed citations
12.
Hao, Fang, Tingting Ku, Xiaoxi Yang, et al.. (2020). Gold nanoparticles change small extracellular vesicle attributes of mouse embryonic stem cells. Nanoscale. 12(29). 15631–15637. 14 indexed citations
13.
Hu, Bowen, Renjun Yang, Zhanwen Cheng, et al.. (2020). Non-cytotoxic silver nanoparticle levels perturb human embryonic stem cell-dependent specification of the cranial placode in part via FGF signaling. Journal of Hazardous Materials. 393. 122440–122440. 12 indexed citations
14.
Liu, Shuyu, Renjun Yang, Nuoya Yin, & Francesco Faiola. (2020). Effects of per- and poly-fluorinated alkyl substances on pancreatic and endocrine differentiation of human pluripotent stem cells. Chemosphere. 254. 126709–126709. 19 indexed citations
15.
Liang, Xiaoxing, Nuoya Yin, Shengxian Liang, et al.. (2019). Bisphenol A and several derivatives exert neural toxicity in human neuron-like cells by decreasing neurite length. Food and Chemical Toxicology. 135. 111015–111015. 56 indexed citations
16.
Liang, Shengxian, Nuoya Yin, & Francesco Faiola. (2019). Human Pluripotent Stem Cells as Tools for Predicting Developmental Neural Toxicity of Chemicals: Strategies, Applications, and Challenges. Stem Cells and Development. 28(12). 755–768. 16 indexed citations
17.
Liu, Shuyu, Nuoya Yin, & Francesco Faiola. (2017). Prospects and Frontiers of Stem Cell Toxicology. Stem Cells and Development. 26(21). 1528–1539. 48 indexed citations
18.
Saunders, Arven, Francesco Faiola, & Jianlong Wang. (2013). Concise Review: Pursuing Self-Renewal and Pluripotency with the Stem Cell Factor Nanog. Stem Cells. 31(7). 1227–1236. 90 indexed citations
19.
Wang, Yuanliang, et al.. (2008). Human ATAC Is a GCN5/PCAF-containing Acetylase Complex with a Novel NC2-like Histone Fold Module That Interacts with the TATA-binding Protein. Journal of Biological Chemistry. 283(49). 33808–33815. 166 indexed citations
20.
Faiola, Francesco, Xiaohui Liu, Songqin Pan, et al.. (2005). Dual Regulation of c-Myc by p300 via Acetylation-Dependent Control of Myc Protein Turnover and Coactivation of Myc-Induced Transcription. Molecular and Cellular Biology. 25(23). 10220–10234. 162 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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