Haihua Liang

3.9k total citations · 1 hit paper
63 papers, 2.8k citations indexed

About

Haihua Liang is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Haihua Liang has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 27 papers in Genetics and 20 papers in Molecular Medicine. Recurrent topics in Haihua Liang's work include Bacterial biofilms and quorum sensing (39 papers), Bacterial Genetics and Biotechnology (25 papers) and Antibiotic Resistance in Bacteria (20 papers). Haihua Liang is often cited by papers focused on Bacterial biofilms and quorum sensing (39 papers), Bacterial Genetics and Biotechnology (25 papers) and Antibiotic Resistance in Bacteria (20 papers). Haihua Liang collaborates with scholars based in China, United States and Hong Kong. Haihua Liang's co-authors include Xin Deng, Min Wu, Lefu Lan, Qinqin Pu, Shugang Qin, Chuan‐Min Zhou, Xiangrong Song, Wen Xiao, Chuan He and Quanjiang Ji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Haihua Liang

63 papers receiving 2.8k citations

Hit Papers

Pseudomonas aeruginosa: pathogenesis, virulence factors, ... 2022 2026 2023 2024 2022 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
Haihua Liang China 26 1.9k 649 536 451 267 63 2.8k
Jianxin He China 18 2.1k 1.1× 1.0k 1.6× 838 1.6× 515 1.1× 292 1.1× 50 2.8k
Rodolfo García‐Contreras Mexico 33 2.2k 1.2× 996 1.5× 667 1.2× 622 1.4× 541 2.0× 97 3.6k
Morten Rybtke Denmark 25 1.8k 1.0× 520 0.8× 412 0.8× 453 1.0× 286 1.1× 44 2.4k
Sylvain Milot Canada 21 2.1k 1.1× 849 1.3× 793 1.5× 390 0.9× 274 1.0× 42 2.9k
Mijoon Lee United States 37 1.7k 0.9× 791 1.2× 828 1.5× 255 0.6× 414 1.6× 118 3.8k
Timothy C. Meredith United States 26 1.4k 0.7× 470 0.7× 623 1.2× 239 0.5× 415 1.6× 46 2.5k
Richard K. Phipps Denmark 21 2.3k 1.2× 629 1.0× 275 0.5× 351 0.8× 222 0.8× 30 3.5k
Dongwoo Shin South Korea 31 1.1k 0.6× 519 0.8× 781 1.5× 490 1.1× 260 1.0× 53 2.1k
Ahmed Gaballa United States 31 1.6k 0.9× 569 0.9× 952 1.8× 269 0.6× 441 1.7× 63 3.4k
Arnaud Baslé United Kingdom 33 2.1k 1.1× 359 0.6× 657 1.2× 257 0.6× 333 1.2× 90 3.5k

Countries citing papers authored by Haihua Liang

Since Specialization
Citations

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

Fields of papers citing papers by Haihua Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihua Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Haihua Liang. A scholar is included among the top collaborators of Haihua Liang 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 Haihua Liang. Haihua Liang 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.
Le, Shuai, Jing Wang, Qian Yang, et al.. (2024). Bacteriophage protein Dap1 regulates evasion of antiphage immunity and Pseudomonas aeruginosa virulence impacting phage therapy in mice. Nature Microbiology. 9(7). 1828–1841. 10 indexed citations
2.
Chen, Feifei, Ziqiong Yang, Rongrong Chen, et al.. (2024). Citrate serves as a signal molecule to modulate carbon metabolism and iron homeostasis in Staphylococcus aureus. PLoS Pathogens. 20(7). e1012425–e1012425. 5 indexed citations
3.
Wu, Min, et al.. (2022). PmiR senses 2-methylisocitrate levels to regulate bacterial virulence in Pseudomonas aeruginosa. Science Advances. 8(49). eadd4220–eadd4220. 7 indexed citations
4.
Qin, Shugang, Wen Xiao, Chuan‐Min Zhou, et al.. (2022). Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeutics. Signal Transduction and Targeted Therapy. 7(1). 199–199. 766 indexed citations breakdown →
5.
Dang, Jing, Tietao Wang, Jing Wen, & Haihua Liang. (2022). An Important Role of the Type VI Secretion System of Pseudomonas aeruginosa Regulated by Dnr in Response to Anaerobic Environments. Microbiology Spectrum. 10(6). e0153322–e0153322. 9 indexed citations
6.
Chen, Gukui, Juan Peng, Meng Li, et al.. (2021). Structural basis for diguanylate cyclase activation by its binding partner in Pseudomonas aeruginosa. eLife. 10. 12 indexed citations
7.
Wang, Tietao, Xiao Du, Yuying Han, et al.. (2021). Pseudomonas aeruginosa T6SS-mediated molybdate transport contributes to bacterial competition during anaerobiosis. Cell Reports. 35(2). 108957–108957. 46 indexed citations
8.
Chen, Gukui, Jianhua Gan, Chun Yang, et al.. (2020). The SiaA/B/C/D signaling network regulates biofilm formation in Pseudomonas aeruginosa. The EMBO Journal. 39(6). e103412–e103412. 34 indexed citations
9.
Cao, Qiao, Nana Yang, Yanhui Wang, et al.. (2020). Mutation-induced remodeling of the BfmRS two-component system in Pseudomonas aeruginosa clinical isolates. Science Signaling. 13(656). 26 indexed citations
10.
Wang, Tietao, Zhaoyu Hu, Xiao Du, et al.. (2020). A type VI secretion system delivers a cell wall amidase to target bacterial competitors. Molecular Microbiology. 114(2). 308–321. 24 indexed citations
11.
12.
Wang, Tietao, Yihang Qi, Zhihan Wang, et al.. (2020). Coordinated regulation of anthranilate metabolism and bacterial virulence by the GntR family regulator MpaR in Pseudomonas aeruginosa. Molecular Microbiology. 114(5). 857–869. 12 indexed citations
14.
Han, Yuying, Tietao Wang, Gukui Chen, et al.. (2019). A Pseudomonas aeruginosa type VI secretion system regulated by CueR facilitates copper acquisition. PLoS Pathogens. 15(12). e1008198–e1008198. 87 indexed citations
15.
Liu, Huiqin, et al.. (2018). Multilocus sequence typing and variations in the <em>oprD </em>gene of <em>Pseudomonas aeruginosa</em> isolated from a hospital in China. Infection and Drug Resistance. Volume 11. 45–54. 9 indexed citations
16.
Zhang, Yani, Jing Qin, Weina Kong, et al.. (2017). The P-Type ATPase PA1429 Regulates Quorum-Sensing Systems and Bacterial Virulence. Frontiers in Microbiology. 8. 2449–2449. 7 indexed citations
17.
Ji, Quanjiang, Liang Zhang, Marcus B. Jones, et al.. (2013). Molecular mechanism of quinone signaling mediated through S-quinonization of a YodB family repressor QsrR. Proceedings of the National Academy of Sciences. 110(13). 5010–5015. 37 indexed citations
18.
Zhang, Liang, Xingyu Lu, Junyan Lu, et al.. (2012). Thymine DNA glycosylase specifically recognizes 5-carboxylcytosine-modified DNA. Nature Chemical Biology. 8(4). 328–330. 250 indexed citations
19.
Liang, Haihua, et al.. (2012). The effect of pmpR on the type III secretion system in Pseudomonas aeruginosa. Chinese Science Bulletin. 57(19). 2413–2418. 2 indexed citations
20.
Liang, Haihua, Howard G. Shertzer, & Daniel W. Nebert. (1992). “Oxidative stress” response in liver of an untreated newborn mouse having a 1.2-centimorgan deletion on chromosome 7. Biochemical and Biophysical Research Communications. 182(3). 1160–1165. 20 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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