Chengjie Fu

837 total citations
20 papers, 561 citations indexed

About

Chengjie Fu is a scholar working on Molecular Biology, Ecology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Chengjie Fu has authored 20 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Ecology and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Chengjie Fu's work include Protist diversity and phylogeny (12 papers), Microbial Community Ecology and Physiology (8 papers) and Genomics and Phylogenetic Studies (8 papers). Chengjie Fu is often cited by papers focused on Protist diversity and phylogeny (12 papers), Microbial Community Ecology and Physiology (8 papers) and Genomics and Phylogenetic Studies (8 papers). Chengjie Fu collaborates with scholars based in China, Sweden and United States. Chengjie Fu's co-authors include Wei Miao, Sandra L. Baldauf, Jie Xiong, Ding He, Dongxia Yuan, Johanna Fehling, Omar Fiz-Palacios, Yue Chang, Miao Tian and Lifang Feng and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Chengjie Fu

19 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengjie Fu China 14 414 162 72 72 50 20 561
Dongxia Yuan China 14 446 1.1× 189 1.2× 53 0.7× 81 1.1× 46 0.9× 22 609
Eileen P. Hamilton United States 19 897 2.2× 332 2.0× 61 0.8× 149 2.1× 117 2.3× 27 1.0k
Magda Tušek‐Žnidarič Slovenia 13 322 0.8× 79 0.5× 95 1.3× 51 0.7× 16 0.3× 20 641
Leif Rasmussen Denmark 17 534 1.3× 155 1.0× 21 0.3× 48 0.7× 93 1.9× 46 815
Rok Tkavc United States 14 219 0.5× 113 0.7× 22 0.3× 78 1.1× 39 0.8× 18 459
Daniela Beißer Germany 17 559 1.4× 334 2.1× 35 0.5× 41 0.6× 19 0.4× 45 920
Kondethimmanahalli Chandramouli Hong Kong 13 233 0.6× 127 0.8× 82 1.1× 36 0.5× 15 0.3× 21 691
Margaret R. Kasschau United States 13 125 0.3× 110 0.7× 45 0.6× 39 0.5× 28 0.6× 26 396
Hu Xia China 14 179 0.4× 68 0.4× 100 1.4× 13 0.2× 12 0.2× 43 499
Elizabeth A. Bucher United States 14 348 0.8× 32 0.2× 82 1.1× 163 2.3× 46 0.9× 16 706

Countries citing papers authored by Chengjie Fu

Since Specialization
Citations

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

Fields of papers citing papers by Chengjie Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjie Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjie Fu. A scholar is included among the top collaborators of Chengjie Fu 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 Chengjie Fu. Chengjie Fu 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.
Fu, Chengjie, et al.. (2025). Strong backreaction of gauge quanta produced during inflation. Physical review. D. 111(10). 1 indexed citations
2.
Fu, Chengjie, et al.. (2024). Assembly and Comparative Analyses of the Chloroplast Genomes of the Threatened Plant Rosa anemoniflora. Forests. 15(6). 940–940. 2 indexed citations
3.
Fu, Chengjie, et al.. (2024). The Acrasis kona genome and developmental transcriptomes reveal deep origins of eukaryotic multicellular pathways. Nature Communications. 15(1). 10197–10197. 4 indexed citations
4.
5.
Fu, Chengjie, et al.. (2020). Research on Lipstick Modeling Based on Grey Relational Analysis. IOP Conference Series Earth and Environmental Science. 440(5). 52027–52027. 1 indexed citations
6.
Tian, Miao, et al.. (2017). Nonsense-mediated mRNA decay in Tetrahymena is EJC independent and requires a protozoa-specific nuclease. Nucleic Acids Research. 45(11). 6848–6863. 15 indexed citations
7.
He, Ding, Chengjie Fu, & Sandra L. Baldauf. (2015). Multiple Origins of Eukaryoticcox15Suggest Horizontal Gene Transfer from Bacteria to Jakobid Mitochondrial DNA. Molecular Biology and Evolution. 33(1). 122–133. 15 indexed citations
8.
He, Ding, et al.. (2014). An Alternative Root for the Eukaryote Tree of Life. Current Biology. 24(4). 465–470. 157 indexed citations
9.
Fu, Chengjie, et al.. (2014). Missing Genes, Multiple ORFs, and C-to-U Type RNA Editing in Acrasis kona (Heterolobosea, Excavata) Mitochondrial DNA. Genome Biology and Evolution. 6(9). 2240–2257. 18 indexed citations
10.
Feng, Lifang, Chengjie Fu, Dongxia Yuan, & Wei Miao. (2014). A P450 gene associated with robust resistance to DDT in ciliated protozoan, Tetrahymena thermophila by efficient degradation. Aquatic Toxicology. 149. 126–132. 17 indexed citations
11.
Chang, Yue, Guanglong Liu, Lina Guo, et al.. (2014). Cd‐Metallothioneins in Three Additional Tetrahymena Species: Intragenic Repeat Patterns and Induction by Metal Ions. Journal of Eukaryotic Microbiology. 61(4). 333–342. 4 indexed citations
12.
Xiong, Jie, Yuming Lu, Jin-Mei Feng, et al.. (2013). Tetrahymena Functional Genomics Database (TetraFGD): an integrated resource for Tetrahymena functional genomics. Database. 2013. bat008–bat008. 45 indexed citations
13.
Xiong, Jie, Zhemin Zhou, Yue Chang, et al.. (2012). Transcriptome Analysis of the Model Protozoan, Tetrahymena thermophila, Using Deep RNA Sequencing. PLoS ONE. 7(2). e30630–e30630. 94 indexed citations
14.
Xiong, Jie, Dongxia Yuan, Jeffrey Fillingham, et al.. (2011). Gene Network Landscape of the Ciliate Tetrahymena thermophila. PLoS ONE. 6(5). e20124–e20124. 23 indexed citations
15.
Xiong, Jie, Yuming Lu, Honghui Zeng, et al.. (2011). Tetrahymena Gene Expression Database (TGED): A resource of microarray data and co-expression analyses for Tetrahymena. Science China Life Sciences. 54(1). 65–67. 28 indexed citations
16.
Xiong, Jie, Lifang Feng, Dongxia Yuan, Chengjie Fu, & Wei Miao. (2010). Genome-wide identification and evolution of ATP-binding cassette transporters in the ciliate Tetrahymena thermophila: A case of functional divergence in a multigene family. BMC Evolutionary Biology. 10(1). 330–330. 28 indexed citations
17.
Fu, Chengjie, Jie Xiong, & Wei Miao. (2009). Genome-wide identification and characterization of cytochrome P450 monooxygenase genes in the ciliate Tetrahymena thermophila. BMC Genomics. 10(1). 208–208. 31 indexed citations
18.
Guo, Lina, Chengjie Fu, & Wei Miao. (2008). Cloning, characterization, and gene expression analysis of a novel cadmium metallothionein gene in Tetrahymena pigmentosa. Gene. 423(1). 29–35. 18 indexed citations
19.
Fu, Chengjie & Wei Miao. (2006). Cloning and Characterization of a New Multi-Stress Inducible Metallothionein Gene in Tetrahymena pyriformis. Protist. 157(2). 193–203. 30 indexed citations
20.
Miao, Wei, Alastair G. B. Simpson, Chengjie Fu, & Christopher S. Lobban. (2005). The Giant Zooxanthellae‐Bearing Ciliate Maristentor dinoferus (Heterotrichea) is Closely Related to Folliculinidae. Journal of Eukaryotic Microbiology. 52(1). 11–16. 24 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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