Chao Xie

17.1k total citations · 1 hit paper
18 papers, 10.3k citations indexed

About

Chao Xie is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, Chao Xie has authored 18 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Ecology and 4 papers in Pollution. Recurrent topics in Chao Xie's work include Microbial Community Ecology and Physiology (9 papers), Genomics and Phylogenetic Studies (7 papers) and Microbial Fuel Cells and Bioremediation (4 papers). Chao Xie is often cited by papers focused on Microbial Community Ecology and Physiology (9 papers), Genomics and Phylogenetic Studies (7 papers) and Microbial Fuel Cells and Bioremediation (4 papers). Chao Xie collaborates with scholars based in Singapore, Australia and United States. Chao Xie's co-authors include Daniel H. Huson, Benjamin Buchfink, Martti T. Tammi, Staffan Kjelleberg, Stuart A. Rice, Rohan B. H. Williams, Chuan Hao Tan, Yan Zhou, Kai Shyang Koh and Wun Jern Ng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Nature Methods.

In The Last Decade

Chao Xie

18 papers receiving 10.2k citations

Hit Papers

Fast and sensitive protei... 2014 2026 2018 2022 2014 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Xie Singapore 15 5.4k 3.1k 2.1k 1.2k 1.1k 18 10.3k
Benjamin Buchfink Germany 4 5.6k 1.0× 3.4k 1.1× 2.5k 1.2× 1.0k 0.8× 931 0.9× 5 10.7k
Ruibang Luo Hong Kong 18 4.7k 0.9× 3.1k 1.0× 1.6k 0.8× 1.2k 1.0× 786 0.7× 80 9.2k
Alla Lapidus United States 53 7.1k 1.3× 4.0k 1.3× 2.2k 1.1× 1.0k 0.9× 1.0k 1.0× 150 12.9k
Valérie Barbe France 56 5.1k 1.0× 2.3k 0.8× 2.5k 1.2× 1.1k 0.9× 1.5k 1.3× 155 11.3k
Tanja Magoč United States 5 5.7k 1.1× 3.8k 1.2× 2.4k 1.2× 1.2k 1.0× 771 0.7× 7 12.1k
Sarah K. Highlander United States 31 5.7k 1.1× 3.0k 1.0× 1.2k 0.6× 980 0.8× 880 0.8× 71 11.7k
Folker Meyer United States 45 6.0k 1.1× 4.2k 1.4× 1.7k 0.8× 949 0.8× 664 0.6× 115 10.6k
Jesse Zaneveld United States 22 7.0k 1.3× 5.0k 1.6× 1.6k 0.8× 1.3k 1.1× 600 0.6× 35 14.2k
Patrick Chain United States 56 5.2k 1.0× 4.4k 1.4× 1.9k 0.9× 2.1k 1.7× 967 0.9× 225 11.5k
Daniel R. Mende Germany 30 5.5k 1.0× 2.9k 0.9× 1.4k 0.7× 583 0.5× 771 0.7× 49 8.6k

Countries citing papers authored by Chao Xie

Since Specialization
Citations

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

Fields of papers citing papers by Chao Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Xie

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

All Works

18 of 18 papers shown
1.
Tan, Chuan Hao, Sujatha Subramoni, Martin Tay, et al.. (2021). Functional metagenomic analysis of quorum sensing signaling in a nitrifying community. npj Biofilms and Microbiomes. 7(1). 79–79. 16 indexed citations
2.
Yung, Pui Yi, Paul Hutchinson, Chao Xie, et al.. (2019). Primer-free FISH probes from metagenomics/metatranscriptomics data permit the study of uncharacterised taxa in complex microbial communities. npj Biofilms and Microbiomes. 5(1). 7 indexed citations
3.
Mitra, Suparna, Ezequiel M. Marzinelli, Chao Xie, et al.. (2018). Metagenomics Reveals the Influence of Land Use and Rain on the Benthic Microbial Communities in a Tropical Urban Waterway. mSystems. 3(3). 10 indexed citations
4.
Moustafa, Ahmed, Chao Xie, Ewen F. Kirkness, et al.. (2017). The blood DNA virome in 8,000 humans. PLoS Pathogens. 13(3). e1006292–e1006292. 203 indexed citations
5.
Huson, Daniel H., Rewati Tappu, Adam L. Bazinet, et al.. (2017). Fast and simple protein-alignment-guided assembly of orthologous gene families from microbiome sequencing reads. Microbiome. 5(1). 11–11. 26 indexed citations
6.
Xie, Chao, Zhen Xuan Yeo, Marie Wong, et al.. (2017). Fast and accurate HLA typing from short-read next-generation sequence data with xHLA. Proceedings of the National Academy of Sciences. 114(30). 8059–8064. 95 indexed citations
7.
Xie, Chao, et al.. (2016). RiboTagger: fast and unbiased 16S/18S profiling using whole community shotgun metagenomic or metatranscriptome surveys. BMC Bioinformatics. 17(S19). 508–508. 22 indexed citations
8.
Law, Yingyu, Rasmus Hansen Kirkegaard, Xianghui Liu, et al.. (2016). Integrative microbial community analysis reveals full-scale enhanced biological phosphorus removal under tropical conditions. Scientific Reports. 6(1). 25719–25719. 58 indexed citations
9.
Tan, Chuan Hao, Kai Shyang Koh, Chao Xie, et al.. (2015). Community quorum sensing signalling and quenching: microbial granular biofilm assembly. npj Biofilms and Microbiomes. 1(1). 15006–15006. 143 indexed citations
10.
Jeffries, Thomas C., Martin Ostrowski, Rohan B. H. Williams, et al.. (2015). Spatially extensive microbial biogeography of the Indian Ocean provides insights into the unique community structure of a pristine coral atoll. Scientific Reports. 5(1). 15383–15383. 24 indexed citations
11.
Buchfink, Benjamin, Chao Xie, & Daniel H. Huson. (2014). Fast and sensitive protein alignment using DIAMOND. Nature Methods. 12(1). 59–60. 8496 indexed citations breakdown →
12.
Tan, Chuan Hao, Kai Shyang Koh, Chao Xie, et al.. (2014). The role of quorum sensing signalling in EPS production and the assembly of a sludge community into aerobic granules. The ISME Journal. 8(6). 1186–1197. 365 indexed citations
13.
Huson, Daniel H. & Chao Xie. (2013). A poor man’s BLASTX—high-throughput metagenomic protein database search using PAUDA. Bioinformatics. 30(1). 38–39. 48 indexed citations
14.
Periasamy, Saravanan, et al.. (2013). Biofilm development and enhanced stress resistance of a model, mixed-species community biofilm. The ISME Journal. 8(4). 894–907. 272 indexed citations
15.
Little, Peter, et al.. (2013). Cell-type and transcription factor specific enrichment of transcriptional cofactor motifs in ENCODE ChIP-seq data. BMC Genomics. 14(S5). S2–S2. 14 indexed citations
16.
Xie, Chao & Martti T. Tammi. (2009). CNV-seq, a new method to detect copy number variation using high-throughput sequencing. BMC Bioinformatics. 10(1). 80–80. 426 indexed citations
17.
Song, Yan, et al.. (2005). The BpsIR Quorum-Sensing System of Burkholderia pseudomallei. Journal of Bacteriology. 187(2). 785–790. 52 indexed citations
18.
Dong, Yan-De, et al.. (2000). Study of transmission of dengue virus by Culex pipiens quinquefasciatus in laboratory.. Zhongguo meijie shengwuxue ji kongzhi zazhi. 11(5). 363–366. 3 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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