Sibei Xu

974 total citations
15 papers, 601 citations indexed

About

Sibei Xu is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Sibei Xu has authored 15 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Ecology. Recurrent topics in Sibei Xu's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Bacterial Genetics and Biotechnology (5 papers) and Evolution and Genetic Dynamics (5 papers). Sibei Xu is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Bacterial Genetics and Biotechnology (5 papers) and Evolution and Genetic Dynamics (5 papers). Sibei Xu collaborates with scholars based in United States, Denmark and South Korea. Sibei Xu's co-authors include Bernhard Ø. Palsson, Richard Szubin, Adam M. Feist, Ying Hefner, Douglas McCloskey, Anand V. Sastry, Troy E. Sandberg, Laurence Yang, Elizabeth Brunk and Kumari Sonal Choudhary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Analytical Chemistry.

In The Last Decade

Sibei Xu

14 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sibei Xu United States 13 507 212 74 42 39 15 601
Patrick V. Phaneuf United States 13 517 1.0× 207 1.0× 121 1.6× 16 0.4× 38 1.0× 27 608
Sook‐Kyung Kim South Korea 13 317 0.6× 129 0.6× 48 0.6× 43 1.0× 46 1.2× 32 513
Martín Peralta-Gil Mexico 8 756 1.5× 304 1.4× 74 1.0× 12 0.3× 86 2.2× 9 908
Luis Muñiz-Rascado Mexico 6 754 1.5× 375 1.8× 34 0.5× 14 0.3× 94 2.4× 8 853
Dierk‐Christoph Pöther Germany 9 291 0.6× 111 0.5× 23 0.3× 46 1.1× 72 1.8× 13 414
Jean-Marc Jeckelmann Switzerland 15 431 0.9× 86 0.4× 36 0.5× 23 0.5× 31 0.8× 32 644
Do-Yeon Kwon United States 9 301 0.6× 70 0.3× 63 0.9× 46 1.1× 54 1.4× 17 474
Peter D. Tonner United States 11 229 0.5× 87 0.4× 24 0.3× 20 0.5× 42 1.1× 16 342
Margrith E. Mattmann United States 16 855 1.7× 265 1.3× 49 0.7× 63 1.5× 65 1.7× 20 1.0k
Jennifer R. Anthony United States 7 609 1.2× 201 0.9× 33 0.4× 21 0.5× 147 3.8× 8 705

Countries citing papers authored by Sibei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Sibei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibei Xu

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

All Works

15 of 15 papers shown
1.
Rychel, Kevin, Edward Catoiu, Connor A. Olson, et al.. (2025). Laboratory Evolution Reveals Transcriptional Mechanisms Underlying Thermal Adaptation of Escherichia coli. Genome Biology and Evolution. 17(10).
2.
Sastry, Anand V., Nicholas Dillon, Amitesh Anand, et al.. (2021). Machine Learning of Bacterial Transcriptomes Reveals Responses Underlying Differential Antibiotic Susceptibility. mSphere. 6(4). e0044321–e0044321. 11 indexed citations
3.
Poudel, Saugat, Hannah Tsunemoto, Yara Seif, et al.. (2020). Revealing 29 sets of independently modulated genes in Staphylococcus aureus , their regulators, and role in key physiological response. Proceedings of the National Academy of Sciences. 117(29). 17228–17239. 57 indexed citations
4.
Anand, Amitesh, Connor A. Olson, Laurence Yang, et al.. (2019). Pseudogene repair driven by selection pressure applied in experimental evolution. Nature Microbiology. 4(3). 386–389. 19 indexed citations
5.
Sastry, Anand V., Ye Gao, Richard Szubin, et al.. (2019). The Escherichia coli transcriptome mostly consists of independently regulated modules. Nature Communications. 10(1). 5536–5536. 153 indexed citations
6.
Du, Bin, Connor A. Olson, Anand V. Sastry, et al.. (2019). Adaptive laboratory evolution of Escherichia coli under acid stress. Microbiology. 166(2). 141–148. 27 indexed citations
7.
Anand, Amitesh, Ke Chen, Edward Catoiu, et al.. (2019). OxyR Is a Convergent Target for Mutations Acquired during Adaptation to Oxidative Stress-Prone Metabolic States. Molecular Biology and Evolution. 37(3). 660–667. 47 indexed citations
8.
Anand, Amitesh, Ke Chen, Laurence Yang, et al.. (2019). Adaptive evolution reveals a tradeoff between growth rate and oxidative stress during naphthoquinone-based aerobic respiration. Proceedings of the National Academy of Sciences. 116(50). 25287–25292. 52 indexed citations
9.
McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Multiple Optimal Phenotypes Overcome Redox and Glycolytic Intermediate Metabolite Imbalances in Escherichia coli pgi Knockout Evolutions. Applied and Environmental Microbiology. 84(19). 28 indexed citations
10.
McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Adaptation to the coupling of glycolysis to toxic methylglyoxal production in tpiA deletion strains of Escherichia coli requires synchronized and counterintuitive genetic changes. Metabolic Engineering. 48. 82–93. 34 indexed citations
11.
McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Growth Adaptation of gnd and sdhCB Escherichia coli Deletion Strains Diverges From a Similar Initial Perturbation of the Transcriptome. Frontiers in Microbiology. 9. 1793–1793. 21 indexed citations
12.
McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Evolution of gene knockout strains of E. coli reveal regulatory architectures governed by metabolism. Nature Communications. 9(1). 3796–3796. 46 indexed citations
13.
McCloskey, Douglas, Sibei Xu, Troy E. Sandberg, et al.. (2018). Adaptive laboratory evolution resolves energy depletion to maintain high aromatic metabolite phenotypes in Escherichia coli strains lacking the Phosphotransferase System. Metabolic Engineering. 48. 233–242. 42 indexed citations
14.
McCloskey, Douglas, Jamey D. Young, Sibei Xu, Bernhard Ø. Palsson, & Adam M. Feist. (2016). Modeling Method for Increased Precision and Scope of Directly Measurable Fluxes at a Genome-Scale. Analytical Chemistry. 88(7). 3844–3852. 25 indexed citations
15.
McCloskey, Douglas, Jamey D. Young, Sibei Xu, Bernhard Ø. Palsson, & Adam M. Feist. (2015). MID Max: LC–MS/MS Method for Measuring the Precursor and Product Mass Isotopomer Distributions of Metabolic Intermediates and Cofactors for Metabolic Flux Analysis Applications. Analytical Chemistry. 88(2). 1362–1370. 39 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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2026