Haoping Liu

5.5k total citations · 1 hit paper
56 papers, 4.5k citations indexed

About

Haoping Liu is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Haoping Liu has authored 56 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 33 papers in Infectious Diseases and 23 papers in Epidemiology. Recurrent topics in Haoping Liu's work include Antifungal resistance and susceptibility (33 papers), Fungal and yeast genetics research (26 papers) and Fungal Infections and Studies (23 papers). Haoping Liu is often cited by papers focused on Antifungal resistance and susceptibility (33 papers), Fungal and yeast genetics research (26 papers) and Fungal Infections and Studies (23 papers). Haoping Liu collaborates with scholars based in United States, China and Australia. Haoping Liu's co-authors include Gerald R. Fink, Cora A. Styles, Yang Lü, Julia R. Köhler, Chang Su, Shelley Lane, Jiangye Chen, Song Chou, Idit Hazan and Song Zhou and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Haoping Liu

55 papers receiving 4.5k citations

Hit Papers

Suppression of Hyphal Formation in Candida albicans by Mu... 1994 2026 2004 2015 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haoping Liu United States 33 2.8k 2.8k 1.9k 803 632 56 4.5k
Joachim F. Ernst Germany 40 2.6k 0.9× 2.7k 1.0× 1.8k 1.0× 761 0.9× 505 0.8× 86 4.5k
Piet W. J. de Groot Netherlands 34 2.2k 0.8× 2.3k 0.8× 1.5k 0.8× 1.4k 1.7× 635 1.0× 74 4.6k
Geraldine Butler Ireland 45 3.0k 1.1× 2.8k 1.0× 2.0k 1.1× 1.1k 1.4× 739 1.2× 124 5.5k
Peter E. Sudbery United Kingdom 31 2.9k 1.0× 2.4k 0.9× 1.5k 0.8× 733 0.9× 703 1.1× 59 4.8k
Thyagarajan Srikantha United States 37 1.8k 0.7× 2.8k 1.0× 1.9k 1.0× 543 0.7× 575 0.9× 67 3.6k
Donna M. MacCallum United Kingdom 47 2.2k 0.8× 4.7k 1.7× 3.4k 1.8× 979 1.2× 674 1.1× 93 6.3k
William A. Fonzi United States 35 3.0k 1.1× 4.8k 1.7× 3.1k 1.7× 1.2k 1.5× 757 1.2× 68 6.7k
Dana A. Davis United States 23 1.5k 0.6× 2.1k 0.8× 1.3k 0.7× 539 0.7× 315 0.5× 29 2.9k
P. T. Magee United States 40 2.8k 1.0× 2.8k 1.0× 2.1k 1.1× 965 1.2× 846 1.3× 84 5.1k
Masakazu Niimi Japan 31 1.1k 0.4× 2.3k 0.8× 1.7k 0.9× 447 0.6× 334 0.5× 88 3.4k

Countries citing papers authored by Haoping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Haoping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoping Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Haoping Liu. A scholar is included among the top collaborators of Haoping Liu 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 Haoping Liu. Haoping Liu 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.
Solis, Norma V., Michaela Marshall, Qing Yao, et al.. (2025). Fungal Als proteins hijack host death effector domains to promote inflammasome signaling. Nature Communications. 16(1). 1562–1562. 3 indexed citations
2.
Liu, Haoping, Hua Zhang, Meng-Ting Geng, et al.. (2024). The Impact of Cooking on Antioxidant and Enzyme Activities in Ruichang Yam Polyphenols. Foods. 14(1). 14–14. 1 indexed citations
3.
Yang, Mengli, Norma V. Solis, Michaela Marshall, et al.. (2022). Control of β-glucan exposure by the endo-1,3-glucanase Eng1 in Candida albicans modulates virulence. PLoS Pathogens. 18(1). e1010192–e1010192. 35 indexed citations
4.
Zhang, Mao, Cheng Zhu, Yuanyuan Duan, et al.. (2022). The intrinsically disordered region from PP2C phosphatases functions as a conserved CO2 sensor. Nature Cell Biology. 24(7). 1029–1037. 34 indexed citations
6.
Lane, Shelley, et al.. (2015). Function and Regulation of Cph2 in Candida albicans. Eukaryotic Cell. 14(11). 1114–1126. 17 indexed citations
7.
Lü, Yang, et al.. (2014). Quorum sensing controls hyphal initiation in Candida albicans through Ubr1-mediated protein degradation. Proceedings of the National Academy of Sciences. 111(5). 1975–1980. 83 indexed citations
8.
Lü, Yang, Chang Su, & Haoping Liu. (2012). A GATA Transcription Factor Recruits Hda1 in Response to Reduced Tor1 Signaling to Establish a Hyphal Chromatin State in Candida albicans. PLoS Pathogens. 8(4). e1002663–e1002663. 69 indexed citations
9.
Stevenson, John S. & Haoping Liu. (2011). Regulation of white and opaque cell‐type formation in Candida albicans by Rtt109 and Hst3. Molecular Microbiology. 81(4). 1078–1091. 39 indexed citations
10.
Lü, Yang, Chang Su, Allen Wang, & Haoping Liu. (2011). Hyphal Development in Candida albicans Requires Two Temporally Linked Changes in Promoter Chromatin for Initiation and Maintenance. PLoS Biology. 9(7). e1001105–e1001105. 138 indexed citations
11.
12.
Wang, Allen, et al.. (2009). Hyphal Chain Formation in Candida albicans : Cdc28-Hgc1 Phosphorylation of Efg1 Represses Cell Separation Genes. Molecular and Cellular Biology. 29(16). 4406–4416. 60 indexed citations
13.
Lü, Yang, et al.. (2008). Efg1-mediated Recruitment of NuA4 to Promoters Is Required for Hypha-specific Swi/Snf Binding and Activation in Candida albicans. Molecular Biology of the Cell. 19(10). 4260–4272. 70 indexed citations
14.
Huang, Guanghua, Huafeng Wang, Song Chou, et al.. (2006). Bistable expression of WOR1 , a master regulator of white–opaque switching in Candida albicans. Proceedings of the National Academy of Sciences. 103(34). 12813–12818. 244 indexed citations
15.
Wang, Allen, Shelley Lane, Zhen Tian, et al.. (2006). Temporal and Spatial Control of HGC1 Expression Results in Hgc1 Localization to the Apical Cells of Hyphae in Candida albicans. Eukaryotic Cell. 6(2). 253–261. 19 indexed citations
16.
Lane, Shelley, Song Zhou, Ting Pan, Qian Dai, & Haoping Liu. (2001). The Basic Helix-Loop-Helix Transcription Factor Cph2 Regulates Hyphal Development in CandidaalbicansPartly via Tec1. Molecular and Cellular Biology. 21(19). 6418–6428. 101 indexed citations
17.
Chen, Jiangye, Song Zhou, Qin Wang, et al.. (2000). Crk1, a Novel Cdc2-Related Protein Kinase, Is Required for Hyphal Development and Virulence in Candida albicans. Molecular and Cellular Biology. 20(23). 8696–8708. 57 indexed citations
18.
Hazan, Idit, et al.. (1999). A G1 Cyclin Is Necessary for Maintenance of Filamentous Growth in Candida albicans. Molecular and Cellular Biology. 19(6). 4019–4027. 89 indexed citations
19.
Liu, Haoping, Cora A. Styles, & Gerald R. Fink. (1996). Saccharomyces cerevisiae S288C Has a Mutation in FL08, a Gene Required for Filamentous Growth. Genetics. 144(3). 967–978. 329 indexed citations
20.
Liu, Haoping, Julia R. Köhler, & Gerald R. Fink. (1994). Suppression of Hyphal Formation in Candida albicans by Mutation of a STE12 Homolog. Science. 266(5191). 1723–1726. 713 indexed citations breakdown →

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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