Francesco Faiola

4.2k citations
94 papers · 3.4k · h-index 32

Impact in

Papers in

Francesco Faiola

91 papers receiving 3.3k citations

Peers

Francesco Faiola
Comparison fields: 5 of 127
  • Health, Toxicology and Mutagenesis 842
  • Environmental Chemistry 362
  • Molecular Biology 1.9k
  • Developmental Neuroscience 91
  • Cancer Research 296
Replace Pauliina Damdimopoulou with:
Pauliina Damdimopoulou Sweden
Fang Zhang China
Oswaldo Keith Okamoto Brazil
Nancy Lan Guo United States
Edward Sidney Hunter United States
Xiaoyan Ding China
Nuoya Yin China
René Habert France
William Ka Fai Tse Japan
Yung‐Feng Lin Taiwan
Francesco Faiola relative to Pauliina Damdimopoulou Sweden Pauliina Damdimopoulou's profile →
Citations per field
00.5×2×2.9×
Pauliina Damdimopoulou · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Francesco Faiola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesco Faiola Line = papers co-authored together Francesco Faiola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013354
2 2005174
3 2008171
4 2011146
5 2018141
6 2020121
7 2019100
8 201398
9 201295
10 201893
11 201578
12 201776
13 201566
14 201865
15 201964
16 200756
17 201855
18 201754
19 201553
20 201952

About Francesco Faiola

Francesco Faiola is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Developmental Neuroscience, Environmental Chemistry and Pollution, having authored 94 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (28 papers), Effects and risks of endocrine disrupting chemicals (25 papers), Genomics and Chromatin Dynamics (11 papers), CRISPR and Genetic Engineering (9 papers), Per- and polyfluoroalkyl substances research (9 papers), Microplastics and Plastic Pollution (8 papers), Carcinogens and Genotoxicity Assessment (7 papers) and Toxic Organic Pollutants Impact (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (842 citations), Environmental Chemistry (362 citations), Molecular Biology (1.9k citations), Developmental Neuroscience (91 citations) and Cancer Research (296 citations). Francesco Faiola has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Nuoya Yin, Renjun Yang, Jianlong Wang, Ernest Martinez, Arven H. Saunders, Shengxian Liang, Junjun Ding, Shaojun Liang, Yuanliang Wang and Songqin Pan. Their work appears in journals such as Environmental Science & Technology, Journal of Hazardous Materials, Journal of Environmental Sciences, Ecotoxicology and Environmental Safety and Environmental Pollution.

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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