Yufeng Yao

5.9k total citations · 2 hit papers
107 papers, 4.5k citations indexed

About

Yufeng Yao is a scholar working on Molecular Biology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Yufeng Yao has authored 107 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 24 papers in Infectious Diseases and 23 papers in Endocrinology. Recurrent topics in Yufeng Yao's work include Antibiotic Resistance in Bacteria (18 papers), Escherichia coli research studies (15 papers) and Vibrio bacteria research studies (14 papers). Yufeng Yao is often cited by papers focused on Antibiotic Resistance in Bacteria (18 papers), Escherichia coli research studies (15 papers) and Vibrio bacteria research studies (14 papers). Yufeng Yao collaborates with scholars based in China, United States and United Kingdom. Yufeng Yao's co-authors include Michaël Otto, Cuong Vuong, Stanislava Kocianova, Frank R. DeLeo, Jovanka M. Voyich, Elizabeth R. Fischer, Daniel E. Sturdevant, Guoping Zhao, Jinjing Ni and Wei Zhao and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yufeng Yao

96 papers receiving 4.4k citations

Hit Papers

Acetylation of Metabolic ... 2010 2026 2015 2020 2010 2025 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yufeng Yao China 33 2.7k 1.1k 793 764 570 107 4.5k
Michael J. Federle United States 34 2.5k 0.9× 1.5k 1.4× 488 0.6× 546 0.7× 586 1.0× 72 4.6k
Nichollas E. Scott Australia 37 2.4k 0.9× 487 0.5× 286 0.4× 748 1.0× 403 0.7× 132 4.1k
Junkal Garmendia Spain 33 1.0k 0.4× 741 0.7× 595 0.8× 1.3k 1.8× 612 1.1× 79 3.4k
Tone Tønjum Norway 35 1.9k 0.7× 959 0.9× 769 1.0× 422 0.6× 1.0k 1.8× 121 3.8k
Sophie Hélaine United Kingdom 29 1.9k 0.7× 765 0.7× 482 0.6× 1.2k 1.6× 428 0.8× 54 4.2k
Alessandra Bragonzi Italy 39 2.5k 0.9× 524 0.5× 436 0.5× 441 0.6× 400 0.7× 105 4.1k
Dong Wook Kim South Korea 39 2.0k 0.7× 841 0.8× 265 0.3× 1.0k 1.4× 710 1.2× 131 4.9k
Teruo Kirikae Japan 37 1.5k 0.5× 1.3k 1.2× 439 0.6× 483 0.6× 807 1.4× 191 4.3k
Karsten Tedin Germany 31 1.8k 0.7× 764 0.7× 386 0.5× 648 0.8× 403 0.7× 74 4.3k
Igor Stojiljković United States 37 2.4k 0.9× 617 0.6× 762 1.0× 912 1.2× 411 0.7× 58 5.1k

Countries citing papers authored by Yufeng Yao

Since Specialization
Citations

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

Fields of papers citing papers by Yufeng Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yufeng Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yufeng Yao. A scholar is included among the top collaborators of Yufeng Yao 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 Yufeng Yao. Yufeng Yao 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.
Yang, Hui, Jia Wang, Wenfeng Wang, et al.. (2025). Estimating regional terrestrial ecosystem carbon sinks on multi-model coupling approach. Ecological Indicators. 178. 114041–114041.
2.
Chen, Yiwen, Chao Lv, Nan Zhou, et al.. (2025). An Unusual 'Gift' from Humans: Third-Generation Cephalosporin-Resistant Enterobacterales in migratory birds along the East Asian-Australasian Flyway. Environment International. 197. 109320–109320.
3.
Sun, Daoyang, Longfei Wang, Yu‐Hsuan Wu, et al.. (2025). Lipid metabolism in ferroptosis: mechanistic insights and therapeutic potential. Frontiers in Immunology. 16. 1545339–1545339. 10 indexed citations
5.
Yao, Yufeng, et al.. (2025). Ferroptosis and iron-based therapies in Pseudomonas aeruginosa infections: From pathogenesis to treatment. Virulence. 16(1). 2553787–2553787. 1 indexed citations
6.
Tang, Huang, Wanqiu Huang, Tao Zhou, et al.. (2025). Salmonella utilizes L-arabinose to silence virulence gene expression for accelerated pathogen growth within the host. Gut Microbes. 17(1). 2467187–2467187.
8.
Miao, Pei, Zhengdong Wang, Jinjing Ni, et al.. (2025). A widespread plant defense compound disarms bacterial type III injectisome assembly. Science. 387(6737). eads0377–eads0377. 18 indexed citations breakdown →
9.
Zhang, Huijing, Yubin Tang, Jianping Liu, et al.. (2025). Shigella effector IpaH1.4 subverts host E3 ligase RNF213 to evade antibacterial immunity. Nature Communications. 16(1). 3099–3099. 2 indexed citations
10.
Wang, Hongye, Bingxiang Li, Yuhang Huang, et al.. (2023). S Trimer Derived from SARS-CoV-2 B.1.351 and B.1.618 Induced Effective Immune Response against Multiple SARS-CoV-2 Variants. Vaccines. 11(1). 193–193. 4 indexed citations
11.
Ni, Jinjing, Shuxian Li, Danni Wang, et al.. (2023). Global profiling of ribosomal protein acetylation reveals essentiality of acetylation homeostasis in maintaining ribosome assembly and function. Nucleic Acids Research. 51(19). 10411–10427. 7 indexed citations
13.
Zhang, Shuqiong, Shuyuan Liu, Nannan Liu, et al.. (2020). Polymorphisms in ERAP1 and ERAP2 Genes Are Associated With Tuberculosis in the Han Chinese. Frontiers in Genetics. 11. 566190–566190. 5 indexed citations
14.
Yao, Yufeng, Huijuan Yang, Lei Shi, et al.. (2019). HLA Class II Genes HLA-DRB1, HLA-DPB1, and HLA-DQB1 Are Associated With the Antibody Response to Inactivated Japanese Encephalitis Vaccine. Frontiers in Immunology. 10. 428–428. 11 indexed citations
15.
Ren, Jie, Yu Sang, Tao Jing, et al.. (2016). Acetylation of Lysine 201 Inhibits the DNA-Binding Ability of PhoP to Regulate Salmonella Virulence. PLoS Pathogens. 12(3). e1005458–e1005458. 100 indexed citations
16.
Xu, Zhihong, Jing Tao, Jinjing Ni, et al.. (2015). A SIRT4-like auto ADP-ribosyltransferase is essential for the environmental growth of <italic>Mycobacterium smegmatis</italic>. Acta Biochimica et Biophysica Sinica. 48(2). 145–152. 12 indexed citations
17.
Wen, Zilu, Rui Li, Yufeng Yao, et al.. (2013). Molecular characterization of multidrug-resistant Mycobacterium tuberculosis isolated from South-central in China. The Journal of Antibiotics. 67(4). 291–297. 19 indexed citations
18.
Sun, Qing, et al.. (2010). Mycobacterial MazG Is a Novel NTP Pyrophosphohydrolase Involved in Oxidative Stress Response. Journal of Biological Chemistry. 285(36). 28076–28085. 44 indexed citations
19.
Wang, Qijun, Yakun Zhang, Chen Yang, et al.. (2010). Acetylation of Metabolic Enzymes Coordinates Carbon Source Utilization and Metabolic Flux. Science. 327(5968). 1004–1007. 812 indexed citations breakdown →
20.
Kocianova, Stanislava, Cuong Vuong, Yufeng Yao, et al.. (2005). Key role of poly-γ-dl-glutamic acid in immune evasion and virulence of Staphylococcus epidermidis. Journal of Clinical Investigation. 115(3). 688–694. 152 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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