Ning-Ning Liu

412 total citations
9 papers, 301 citations indexed

About

Ning-Ning Liu is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Ning-Ning Liu has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Molecular Biology and 3 papers in Pharmacology. Recurrent topics in Ning-Ning Liu's work include Antifungal resistance and susceptibility (7 papers), Fungal Infections and Studies (3 papers) and Polyamine Metabolism and Applications (2 papers). Ning-Ning Liu is often cited by papers focused on Antifungal resistance and susceptibility (7 papers), Fungal Infections and Studies (3 papers) and Polyamine Metabolism and Applications (2 papers). Ning-Ning Liu collaborates with scholars based in United States, Ireland and Canada. Ning-Ning Liu's co-authors include Julia R. Köhler, Gary P. Moran, Peter R. Flanagan, Carlos García, Faïza Tebbji, Michelle C. Daigneault, Emma Allen‐Vercoe, Adnane Sellam, Malcolm Whiteway and Tanvi Shekhar‐Guturja and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Ning-Ning Liu

9 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning-Ning Liu United States	8	177	153	109	42	34	9	301
Inês Correia Spain	12	225 1.3×	180 1.2×	133 1.2×	55 1.3×	46 1.4×	17	370
Mihaela Ola Ireland	9	254 1.4×	162 1.1×	157 1.4×	68 1.6×	36 1.1×	11	363
Qi Hui Sam Singapore	6	102 0.6×	154 1.0×	69 0.6×	50 1.2×	20 0.6×	9	279
Andriy Petryshyn Austria	9	160 0.9×	148 1.0×	126 1.2×	21 0.5×	51 1.5×	9	306
Manning Y. Huang United States	10	284 1.6×	137 0.9×	209 1.9×	42 1.0×	34 1.0×	18	351
Carmen Herrero‐de‐Dios United Kingdom	12	250 1.4×	178 1.2×	166 1.5×	27 0.6×	75 2.2×	16	428
Kanya Preechasuth Thailand	7	148 0.8×	97 0.6×	119 1.1×	42 1.0×	57 1.7×	10	294
Maikel Acosta‐Zaldívar United States	9	134 0.8×	141 0.9×	84 0.8×	24 0.6×	36 1.1×	15	308
Zahra Hashemizadeh Iran	7	196 1.1×	60 0.4×	168 1.5×	29 0.7×	32 0.9×	10	321
Sang Hu Kim Canada	9	213 1.2×	170 1.1×	163 1.5×	41 1.0×	69 2.0×	13	360

Countries citing papers authored by Ning-Ning Liu

Since Specialization

Citations

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

Fields of papers citing papers by Ning-Ning Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning-Ning Liu

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

All Works

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9 of 9 papers shown

Wang, Yuanyuan, Jia Zhou, Yun Zou, et al.. (2022). Fungal commensalism modulated by a dual-action phosphate transceptor. Cell Reports. 38(4). 110293–110293. 7 indexed citations

Qi, Wanjun, Maikel Acosta‐Zaldívar, Peter R. Flanagan, et al.. (2022). Stress- and metabolic responses of Candida albicans require Tor1 kinase N-terminal HEAT repeats. PLoS Pathogens. 18(6). e1010089–e1010089. 9 indexed citations

Kambara, Hiroto, Rongxia Guo, Apurva Kanneganti, et al.. (2021). Inflammasome-mediated GSDMD activation facilitates escape of Candida albicans from macrophages. Nature Communications. 12(1). 6699–6699. 63 indexed citations

Liu, Ning-Ning, Peter R. Flanagan, Jumei Zeng, et al.. (2017). Phosphate is the third nutrient monitored by TOR in Candida albicans and provides a target for fungal-specific indirect TOR inhibition. Proceedings of the National Academy of Sciences. 114(24). 6346–6351. 45 indexed citations

Barresi, Simona, Francesca Mingozzi, Achille Broggi, et al.. (2017). Skin infections are eliminated by cooperation of the fibrinolytic and innate immune systems. Science Immunology. 2(15). 17 indexed citations

Flanagan, Peter R., Ning-Ning Liu, Darren J. Fitzpatrick, et al.. (2017). The Candida albicans TOR-Activating GTPases Gtr1 and Rhb1 Coregulate Starvation Responses and Biofilm Formation. mSphere. 2(6). 28 indexed citations

García, Carlos, Faïza Tebbji, Michelle C. Daigneault, et al.. (2017). The Human Gut Microbial Metabolome Modulates Fungal Growth via the TOR Signaling Pathway. mSphere. 2(6). 60 indexed citations

Shekhar‐Guturja, Tanvi, et al.. (2016). Beauvericin Potentiates Azole Activity via Inhibition of Multidrug Efflux, Blocks Candida albicans Morphogenesis, and Is Effluxed via Yor1 and Circuitry Controlled by Zcf29. Antimicrobial Agents and Chemotherapy. 60(12). 7468–7480. 48 indexed citations

Liu, Ning-Ning & Julia R. Köhler. (2015). Antagonism of Fluconazole and a Proton Pump Inhibitor against Candida albicans. Antimicrobial Agents and Chemotherapy. 60(2). 1145–1147. 24 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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