Lu Cheng

866 total citations
10 papers, 599 citations indexed

About

Lu Cheng is a scholar working on Molecular Biology, Food Science and Infectious Diseases. According to data from OpenAlex, Lu Cheng has authored 10 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Food Science and 3 papers in Infectious Diseases. Recurrent topics in Lu Cheng's work include Genomics and Phylogenetic Studies (5 papers), Probiotics and Fermented Foods (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Lu Cheng is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Probiotics and Fermented Foods (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). Lu Cheng collaborates with scholars based in Finland, United Kingdom and Netherlands. Lu Cheng's co-authors include Jukka Corander, Willem van Schaik, Rob J. L. Willems, Kerttu Majander, Juha Merilä, Abigail L. Manson, Jennifer R. Wortman, Ashlee M. Earl, Qiandong Zeng and Paul A. Godfrey and has published in prestigious journals such as Nucleic Acids Research, Biometrics and Molecular Ecology.

In The Last Decade

Lu Cheng

10 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Cheng Finland 9 283 252 164 116 90 10 599
Heidi Gumpert Denmark 14 265 0.9× 356 1.4× 129 0.8× 205 1.8× 80 0.9× 17 742
Emily J. Richardson United Kingdom 10 203 0.7× 305 1.2× 62 0.4× 67 0.6× 97 1.1× 18 587
Harry A. Thorpe United Kingdom 12 138 0.5× 280 1.1× 67 0.4× 65 0.6× 72 0.8× 19 569
Neil MacAlasdair United Kingdom 4 118 0.4× 295 1.2× 73 0.4× 74 0.6× 100 1.1× 5 617
Jenny A. Laverde Gomez United States 9 186 0.7× 262 1.0× 49 0.3× 127 1.1× 96 1.1× 9 541
Gal Horesh United Kingdom 6 133 0.5× 349 1.4× 80 0.5× 100 0.9× 113 1.3× 8 715
Emily B. Zentz United States 7 234 0.8× 237 0.9× 72 0.4× 64 0.6× 145 1.6× 7 644
Simon Gladman Australia 10 121 0.4× 219 0.9× 43 0.3× 40 0.3× 61 0.7× 15 529
Stefano Gaiarsa Italy 13 195 0.7× 244 1.0× 68 0.4× 45 0.4× 55 0.6× 38 750

Countries citing papers authored by Lu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Cheng

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

All Works

10 of 10 papers shown
1.
Xie, Qiwei, Lu Cheng, Jingyu Li, & Xiaolong Zheng. (2023). The impact of treasury operations and off-balance-sheet credit business on commercial bank credit risk. The Journal of Risk. 4 indexed citations
2.
Reuter, Sandra, Jukka Corander, Mark de Been, et al.. (2015). Directional gene flow and ecological separation in Yersinia enterocolitica. Microbial Genomics. 1(3). e000030–e000030. 16 indexed citations
3.
Lebreton, François, Willem van Schaik, Abigail L. Manson, et al.. (2013). Emergence of Epidemic Multidrug-Resistant Enterococcus faecium from Animal and Commensal Strains. mBio. 4(4). 314 indexed citations
4.
McNally, Alan, Lu Cheng, Simon R. Harris, & Jukka Corander. (2013). The Evolutionary Path to Extraintestinal Pathogenic, Drug-Resistant Escherichia coli Is Marked by Drastic Reduction in Detectable Recombination within the Core Genome. Genome Biology and Evolution. 5(4). 699–710. 41 indexed citations
5.
Been, Mark de, Willem van Schaik, Lu Cheng, Jukka Corander, & Rob J. L. Willems. (2013). Recent Recombination Events in the Core Genome Are Associated with Adaptive Evolution in Enterococcus faecium. Genome Biology and Evolution. 5(8). 1524–1535. 63 indexed citations
6.
Corander, Jukka, Kerttu Majander, Lu Cheng, & Juha Merilä. (2013). High degree of cryptic population differentiation in the Baltic Sea herring Clupea harengus. Molecular Ecology. 22(11). 2931–2940. 86 indexed citations
7.
Numminen, Elina, Lu Cheng, Mats Gyllenberg, & Jukka Corander. (2013). Estimating the Transmission Dynamics ofStreptococcus pneumoniaefrom Strain Prevalence Data. Biometrics. 69(3). 748–757. 25 indexed citations
8.
Cheng, Lu, et al.. (2013). Bayesian clustering of DNA sequences using Markov chains and a stochastic partition model. Statistical Applications in Genetics and Molecular Biology. 13(1). 105–21. 10 indexed citations
9.
Cheng, Lu, Alan W. Walker, & Jukka Corander. (2012). Bayesian estimation of bacterial community composition from 454 sequencing data. Nucleic Acids Research. 40(12). 5240–5249. 22 indexed citations
10.
Cheng, Lu, Thomas R. Connor, David M. Aanensen, Brian G. Spratt, & Jukka Corander. (2011). Bayesian semi-supervised classification of bacterial samples using MLST databases. BMC Bioinformatics. 12(1). 302–302. 18 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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