Xiongfeng Dai

1.6k total citations · 1 hit paper
28 papers, 1000 citations indexed

About

Xiongfeng Dai is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Xiongfeng Dai has authored 28 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 21 papers in Genetics and 11 papers in Ecology. Recurrent topics in Xiongfeng Dai's work include Bacterial Genetics and Biotechnology (19 papers), RNA and protein synthesis mechanisms (14 papers) and Bacteriophages and microbial interactions (10 papers). Xiongfeng Dai is often cited by papers focused on Bacterial Genetics and Biotechnology (19 papers), RNA and protein synthesis mechanisms (14 papers) and Bacteriophages and microbial interactions (10 papers). Xiongfeng Dai collaborates with scholars based in China, United States and Switzerland. Xiongfeng Dai's co-authors include Manlu Zhu, Terence Hwa, Yiping Wang, M.R. Warren, Hiroyuki Okano, James R. Williamson, Kurt Fredrick, Rohan Balakrishnan, Vadim Patsalo and Markus Basan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xiongfeng Dai

26 papers receiving 989 citations

Hit Papers

Shaping of microbial phen... 2024 2026 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Shaping of microbial phenotypes by trade-offs
    2024 41 citations Manlu Zhu, Xiongfeng Dai Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiongfeng Dai China 17 759 497 207 63 61 28 1000
Manlu Zhu China 17 759 1.0× 497 1.0× 207 1.0× 63 1.0× 61 1.0× 28 1000
Patricia Domínguez‐Cuevas Spain 13 599 0.8× 416 0.8× 250 1.2× 38 0.6× 78 1.3× 14 837
Daniela Albanesi Argentina 16 796 1.0× 427 0.9× 226 1.1× 88 1.4× 116 1.9× 25 1.1k
Susan Schlegel Sweden 15 901 1.2× 474 1.0× 293 1.4× 54 0.9× 64 1.0× 22 1.2k
Connor A. Olson United States 16 847 1.1× 542 1.1× 258 1.2× 85 1.3× 49 0.8× 26 1.0k
Ariel Méchaly France 15 671 0.9× 314 0.6× 143 0.7× 83 1.3× 68 1.1× 41 989
Anna Maria Giuliodori Italy 14 746 1.0× 359 0.7× 198 1.0× 75 1.2× 28 0.5× 27 951
Daniel Dar Israel 15 797 1.1× 353 0.7× 264 1.3× 33 0.5× 86 1.4× 19 1.0k
Larisa E. Cybulski Argentina 12 642 0.8× 308 0.6× 183 0.9× 34 0.5× 100 1.6× 22 861
Tatyana Romantsov Canada 10 651 0.9× 302 0.6× 167 0.8× 25 0.4× 67 1.1× 12 830

Countries citing papers authored by Xiongfeng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Xiongfeng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiongfeng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiongfeng Dai. A scholar is included among the top collaborators of Xiongfeng Dai 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 Xiongfeng Dai. Xiongfeng Dai 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.
2.
Zhu, Manlu, Matteo Mori, Terence Hwa, & Xiongfeng Dai. (2025). Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics. Proceedings of the National Academy of Sciences. 122(18). e2427091122–e2427091122. 3 indexed citations
3.
Zhu, Manlu & Xiongfeng Dai. (2024). Shaping of microbial phenotypes by trade-offs. Nature Communications. 15(1). 4238–4238. 41 indexed citations breakdown →
4.
Zhu, Manlu, et al.. (2024). Integrated control of bacterial growth and stress response by (p)ppGpp in Escherichia coli: A seesaw fashion. iScience. 27(2). 108818–108818. 13 indexed citations
5.
Zhu, Manlu & Xiongfeng Dai. (2023). Stringent response ensures the timely adaptation of bacterial growth to nutrient downshift. Nature Communications. 14(1). 467–467. 41 indexed citations
6.
Wang, Qian, et al.. (2022). Recent functional insights into the magic role of (p)ppGpp in growth control. Computational and Structural Biotechnology Journal. 21. 168–175. 4 indexed citations
7.
8.
Dai, Xiongfeng & Manlu Zhu. (2020). Coupling of Ribosome Synthesis and Translational Capacity with Cell Growth. Trends in Biochemical Sciences. 45(8). 681–692. 75 indexed citations
9.
Zhu, Manlu, et al.. (2020). Control of ribosome synthesis in bacteria: the important role of rRNA chain elongation rate. Science China Life Sciences. 64(5). 795–802. 12 indexed citations
10.
Zhu, Manlu, Matteo Mori, Terence Hwa, & Xiongfeng Dai. (2019). Disruption of transcription–translation coordination in Escherichia coli leads to premature transcriptional termination. Nature Microbiology. 4(12). 2347–2356. 60 indexed citations
11.
Zhu, Manlu, et al.. (2019). (p)ppGpp: the magic governor of bacterial growth economy. Current Genetics. 65(5). 1121–1125. 28 indexed citations
12.
Zhu, Manlu & Xiongfeng Dai. (2019). Bacterial stress defense: the crucial role of ribosome speed. Cellular and Molecular Life Sciences. 77(5). 853–858. 30 indexed citations
13.
14.
Dai, Xiongfeng & Manlu Zhu. (2018). High Osmolarity Modulates Bacterial Cell Size through Reducing Initiation Volume in Escherichia coli. mSphere. 3(5). 18 indexed citations
15.
Zhu, Manlu & Xiongfeng Dai. (2018). On the intrinsic constraint of bacterial growth rate:M. tuberculosis’s view of the protein translation capacity. Critical Reviews in Microbiology. 44(4). 455–464. 23 indexed citations
16.
Dai, Xiongfeng, Manlu Zhu, M.R. Warren, et al.. (2018). Slowdown of Translational Elongation in Escherichia coli under Hyperosmotic Stress. mBio. 9(1). 46 indexed citations
17.
Dai, Xiongfeng, Manlu Zhu, M.R. Warren, et al.. (2016). Reduction of translating ribosomes enables Escherichia coli to maintain elongation rates during slow growth. Nature Microbiology. 2(2). 16231–16231. 213 indexed citations
18.
Zhu, Manlu, Xiongfeng Dai, & Yiping Wang. (2016). Real time determination of bacterialin vivoribosome translation elongation speed based on LacZα complementation system. Nucleic Acids Research. 44(20). gkw698–gkw698. 36 indexed citations
19.
Basan, Markus, Manlu Zhu, Xiongfeng Dai, et al.. (2015). Inflating bacterial cells by increased protein synthesis. Molecular Systems Biology. 11(10). 836–836. 129 indexed citations
20.
Dai, Xiongfeng, Manlu Zhu, & Yiping Wang. (2014). Circular permutation of E. coli EPSP synthase: increased inhibitor resistance, improved catalytic activity, and an indicator for protein fragment complementation. Chemical Communications. 50(15). 1830–1832. 5 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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