Fayi Song

2.4k total citations · 1 hit paper
30 papers, 1.9k citations indexed

About

Fayi Song is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Fayi Song has authored 30 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Materials Chemistry, 11 papers in Molecular Biology and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Fayi Song's work include Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical Analysis and Applications (8 papers) and Fullerene Chemistry and Applications (7 papers). Fayi Song is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical Analysis and Applications (8 papers) and Fullerene Chemistry and Applications (7 papers). Fayi Song collaborates with scholars based in United States, Canada and China. Fayi Song's co-authors include Warren C. W. Chan, Luís Echegoyen, Jonathan B. Olsen, Hongbo Guo, Yoram Cohen, Andrew Emili, Carl Walkey, Rong Liu, François Diederich and Davide Bonifazi and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nano Letters.

In The Last Decade

Fayi Song

30 papers receiving 1.9k citations

Hit Papers

Protein Corona Fingerprinting Predicts the Cellular Inter... 2014 2026 2018 2022 2014 200 400 600

Peers

Fayi Song
Comparison fields: 5 of 109
  • Materials Chemistry 850
  • Biomedical Engineering 650
  • Molecular Biology 625
  • Biomaterials 483
  • Organic Chemistry 278
Replace Junguang Jiang with:
Junguang Jiang China
Keming Xu Hong Kong
Tai Hwan Ha South Korea
Brian Creran United States
José‐María Montenegro Spain
Jorge Rubio‐Retama Spain
Sang Jun Son South Korea
Yusuke Yonamine Japan
Christian Pfeiffer Germany
Bifeng Pan China
Junguang Jiang China View profile →
Citations per field, relative to Fayi Song
Fayi Song · 1×
Citations per year, relative to Fayi Song
Fayi Song · 1×

Countries citing papers authored by Fayi Song

Since Specialization
Citations

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

Fields of papers citing papers by Fayi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fayi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fayi Song. A scholar is included among the top collaborators of Fayi Song 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 Fayi Song. Fayi Song 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
# Work Indexed citations
1 141
2 44
3 186
4 47
5
Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles breakdown →
658
6 41
7 10
8 47
9 67
10 66
11 124
12 33
13 63
14 19
15 29
16 48
17 3
18 19
19 3
20 8

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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