Fanyi Dong

743 total citations · 1 hit paper
5 papers, 519 citations indexed

About

Fanyi Dong is a scholar working on Molecular Biology, Microbiology and Computational Theory and Mathematics. According to data from OpenAlex, Fanyi Dong has authored 5 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Microbiology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Fanyi Dong's work include vaccines and immunoinformatics approaches (2 papers), Antimicrobial Peptides and Activities (2 papers) and Biochemical and Structural Characterization (2 papers). Fanyi Dong is often cited by papers focused on vaccines and immunoinformatics approaches (2 papers), Antimicrobial Peptides and Activities (2 papers) and Biochemical and Structural Characterization (2 papers). Fanyi Dong collaborates with scholars based in China. Fanyi Dong's co-authors include Heng Zheng, Xingzhen Lao, Hanmei Xu, Xinyue Kang, Jiaxin Chen, Shi Cheng, Haiqi Li, Shicai Liu, Jian Sun and Ning Zhu and has published in prestigious journals such as Nucleic Acids Research, Scientific Data and Apmis.

In The Last Decade

Fanyi Dong

5 papers receiving 516 citations

Hit Papers

DRAMP 3.0: an enhanced comprehensive data repository of a... 2021 2026 2022 2024 2021 50 100 150

Peers

Fanyi Dong
Hongyu Wu China
Fanyi Dong
Citations per year, relative to Fanyi Dong Fanyi Dong (= 1×) peers Hongyu Wu

Countries citing papers authored by Fanyi Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fanyi Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanyi Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fanyi Dong. A scholar is included among the top collaborators of Fanyi Dong 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 Fanyi Dong. Fanyi Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Zhu, Ning, et al.. (2022). HORDB a comprehensive database of peptide hormones. Scientific Data. 9(1). 187–187. 10 indexed citations
2.
Kang, Xinyue, Fanyi Dong, Yanchao Liu, et al.. (2021). DRAMP 3.0: an enhanced comprehensive data repository of antimicrobial peptides. Nucleic Acids Research. 50(D1). D488–D496. 199 indexed citations breakdown →
3.
Dong, Fanyi, et al.. (2020). The Prospect of Bioactive Peptide Research: A Review on Databases and Tools. Current Bioinformatics. 16(4). 494–504. 9 indexed citations
4.
Kang, Xinyue, Fanyi Dong, Shi Cheng, et al.. (2019). DRAMP 2.0, an updated data repository of antimicrobial peptides. Scientific Data. 6(1). 148–148. 258 indexed citations
5.
Liu, Fengjuan, Jìng Guo, Ting Tian, et al.. (2011). Placental trophoblasts shifted Th1/Th2 balance toward Th2 and inhibited Th17 immunity at fetomaternal interface. Apmis. 119(9). 597–604. 43 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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