Liqing Zhang

6.3k total citations · 2 hit papers
132 papers, 4.1k citations indexed

About

Liqing Zhang is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Liqing Zhang has authored 132 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 47 papers in Plant Science and 22 papers in Genetics. Recurrent topics in Liqing Zhang's work include Genomics and Phylogenetic Studies (29 papers), Plant Pathogens and Fungal Diseases (16 papers) and Plant-Microbe Interactions and Immunity (13 papers). Liqing Zhang is often cited by papers focused on Genomics and Phylogenetic Studies (29 papers), Plant Pathogens and Fungal Diseases (16 papers) and Plant-Microbe Interactions and Immunity (13 papers). Liqing Zhang collaborates with scholars based in United States, China and United Kingdom. Liqing Zhang's co-authors include Wen‐Hsiung Li, Amy Pruden, Peter J. Vikesland, Gustavo Arango-Argoty, Lenwood S. Heath, Emily Garner, Wei Chen, Min Oh, Deng Pan and Hao Lin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Liqing Zhang

127 papers receiving 4.0k citations

Hit Papers

DeepARG: a deep learning approach for predicting antibiot... 2018 2026 2020 2023 2018 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liqing Zhang United States 32 2.4k 1.2k 574 396 356 132 4.1k
Christian Rückert Germany 42 3.7k 1.6× 819 0.7× 789 1.4× 168 0.4× 125 0.4× 248 5.7k
Fábio O. Pedrosa Brazil 33 1.6k 0.7× 1.5k 1.3× 285 0.5× 280 0.7× 104 0.3× 162 3.5k
Ming Zheng China 20 3.4k 1.4× 401 0.3× 925 1.6× 92 0.2× 188 0.5× 35 4.7k
Xiaobin Li China 34 1.5k 0.6× 372 0.3× 193 0.3× 132 0.3× 426 1.2× 207 3.8k
Xing Zhang China 39 3.6k 1.5× 2.5k 2.1× 382 0.7× 210 0.5× 88 0.2× 285 6.6k
Cong Li China 37 1.8k 0.8× 742 0.6× 1.2k 2.0× 214 0.5× 586 1.6× 211 5.0k
Jagdeep Kaur India 36 2.3k 1.0× 1.1k 0.9× 201 0.4× 229 0.6× 154 0.4× 191 4.3k
Haruo Ikeda Japan 54 6.2k 2.6× 1.3k 1.1× 416 0.7× 103 0.3× 148 0.4× 270 11.6k
Vahid Jalili Iran 15 1.9k 0.8× 436 0.4× 316 0.6× 119 0.3× 90 0.3× 31 3.9k
Geoffrey L. Winsor Canada 20 3.3k 1.4× 648 0.5× 1.1k 1.9× 224 0.6× 998 2.8× 28 5.0k

Countries citing papers authored by Liqing Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Liqing Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liqing Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Liqing Zhang. A scholar is included among the top collaborators of Liqing Zhang 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 Liqing Zhang. Liqing Zhang 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
2.
Zhang, Liqing, et al.. (2025). BCtypeFinder: A Semi-Supervised Model with Domain Adaptation for Breast Cancer Subtyping Using DNA Methylation Profiles. Journal of Computational Biology. 32(12). 1160–1170.
3.
Brown, Connor, Suraj Gupta, Ali R. Butt, et al.. (2025). CIWARS: A Web Server for Antibiotic Resistance Surveillance Using Longitudinal Metagenomic Data. Journal of Molecular Biology. 437(15). 169159–169159.
4.
Fang, Xianping, et al.. (2024). Metabolomic and transcriptomic integration reveals the mechanism of aroma formation as strawberries naturally turn colors while ripening. Food Chemistry. 460(Pt 3). 140765–140765. 11 indexed citations
5.
Wang, Xiujuan, Liyan Xiong, Liqing Zhang, et al.. (2024). Ethnopharmacology, phytochemistry, bioactivities and quality control of the <i>Gnaphalium</i> genus: an updated review. SHILAP Revista de lepidopterología. 3(1). 0–0. 2 indexed citations
6.
Xu, Pengbo, Chao Ma, Xinyu Li, et al.. (2024). Loss-of-function mutation in anthocyanidin reductase activates the anthocyanin synthesis pathway in strawberry. SHILAP Revista de lepidopterología. 4(1). 33–33. 9 indexed citations
7.
Oh, Min, Benjamin C. Davis, Connor Brown, et al.. (2024). MetaCompare 2.0: differential ranking of ecological and human health resistome risks. FEMS Microbiology Ecology. 100(12). 16 indexed citations
9.
Ji, Ying, Lili Song, Liqing Zhang, et al.. (2022). Different responses to elevated temperature in the representative strains of strawberry pathogenic Colletotrichum spp.from eastern China. Mycological Progress. 22(1). 3 indexed citations
10.
Chen, Jianbei, Jianbei Chen, Xiaojuan Li, et al.. (2021). Bioinformatics analysis of a TF-miRNA-lncRNA regulatory network in major depressive disorder. Psychiatry Research. 299. 113842–113842. 8 indexed citations
11.
Logan, Latania K., Liqing Zhang, Stefan J. Green, et al.. (2020). A Pilot Study of Chicago Waterways as Reservoirs of Multidrug-Resistant Enterobacteriaceae (MDR-Ent) in a High-Risk Region for Community-Acquired MDR-Ent Infection in Children. Antimicrobial Agents and Chemotherapy. 64(4). 5 indexed citations
12.
Armitage, Andrew D., Charlotte F. Nellist, Helen J. Bates, et al.. (2020). Draft Genome Sequence of the Strawberry Anthracnose Pathogen Colletotrichum fructicola. Microbiology Resource Announcements. 9(12). 4 indexed citations
13.
Fang, Xianping, et al.. (2019). Multi-omics reveals the resistance mechanism of grape leaves in response to Botrytis cinerea. SHILAP Revista de lepidopterología. 45(3). 306–316. 1 indexed citations
14.
Wu, Xiaowei, et al.. (2019). Uncovering missed indels by leveraging unmapped reads. Scientific Reports. 9(1). 11093–11093. 8 indexed citations
15.
Lei, Shaohua, Erica Twitchell, Ashwin Ramesh, et al.. (2019). Enhanced GII.4 human norovirus infection in gnotobiotic pigs transplanted with a human gut microbiota. Journal of General Virology. 100(11). 1530–1540. 13 indexed citations
16.
Wang, Minqian, Jenni Firrman, Liqing Zhang, et al.. (2017). Apigenin Impacts the Growth of the Gut Microbiota and Alters the Gene Expression of Enterococcus. Molecules. 22(8). 1292–1292. 47 indexed citations
17.
Wu, Xiaowei, et al.. (2017). UPS-indel: a Universal Positioning System for Indels. Scientific Reports. 7(1). 14106–14106. 6 indexed citations
18.
Kim, Gunjune, Christopher R. Clarke, Hong Tran, et al.. (2017). Herbicide injury induces DNA methylome alterations in Arabidopsis. PeerJ. 5. e3560–e3560. 23 indexed citations
19.
Wu, Xiaowei, et al.. (2015). Performance evaluation of indel calling tools using real short-read data. Human Genomics. 9(1). 20–20. 48 indexed citations
20.
Zhang, Liqing & Wen‐Hsiung Li. (2004). Mammalian Housekeeping Genes Evolve More Slowly than Tissue-Specific Genes. Molecular Biology and Evolution. 21(2). 236–239. 278 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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