Patrick X. Zhao

11.2k total citations · 3 hit papers
75 papers, 6.2k citations indexed

About

Patrick X. Zhao is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Patrick X. Zhao has authored 75 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 41 papers in Molecular Biology and 10 papers in Agronomy and Crop Science. Recurrent topics in Patrick X. Zhao's work include Legume Nitrogen Fixing Symbiosis (20 papers), Plant Molecular Biology Research (10 papers) and Plant nutrient uptake and metabolism (9 papers). Patrick X. Zhao is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (20 papers), Plant Molecular Biology Research (10 papers) and Plant nutrient uptake and metabolism (9 papers). Patrick X. Zhao collaborates with scholars based in United States, China and United Kingdom. Patrick X. Zhao's co-authors include Xinbin Dai, Michael K. Udvardi, Richard A. Dixon, Ji He, Vagner A. Benedito, Yuhong Tang, Ivone Torres‐Jerez, Lloyd W. Sumner, Marina Naoumkina and Xi Dai and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Patrick X. Zhao

72 papers receiving 6.2k citations

Hit Papers

psRNATarget: a plant small RNA target analysis server 2008 2026 2014 2020 2011 2018 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick X. Zhao United States 29 5.0k 3.0k 378 339 266 75 6.2k
Xinbin Dai United States 24 4.2k 0.9× 2.5k 0.8× 336 0.9× 220 0.6× 177 0.7× 55 5.2k
Roger P. Hellens New Zealand 43 7.7k 1.5× 7.9k 2.6× 300 0.8× 99 0.3× 297 1.1× 89 10.9k
Wenying Xu China 32 4.5k 0.9× 3.0k 1.0× 120 0.3× 139 0.4× 654 2.5× 82 5.4k
Xuewen Wang China 31 4.8k 1.0× 4.3k 1.4× 124 0.3× 186 0.5× 844 3.2× 105 7.2k
Jesús V. Jorrín–Novo Spain 42 3.5k 0.7× 2.3k 0.8× 109 0.3× 215 0.6× 154 0.6× 175 5.2k
Javier F. Palatnik Argentina 41 7.4k 1.5× 5.6k 1.8× 593 1.6× 114 0.3× 219 0.8× 68 8.4k
Dan MacLean United Kingdom 36 4.2k 0.8× 2.5k 0.8× 110 0.3× 55 0.2× 294 1.1× 99 5.7k
Athikkattuvalasu S. Karthikeyan United States 18 4.9k 1.0× 2.7k 0.9× 71 0.2× 229 0.7× 420 1.6× 34 6.3k
Liangjiang Wang United States 26 2.0k 0.4× 2.6k 0.9× 285 0.8× 80 0.2× 322 1.2× 64 4.0k

Countries citing papers authored by Patrick X. Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Patrick X. Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick X. Zhao. 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 Patrick X. Zhao. The network helps show where Patrick X. Zhao may publish in the future.

Co-authorship network of co-authors of Patrick X. Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick X. Zhao. A scholar is included among the top collaborators of Patrick X. Zhao 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 Patrick X. Zhao. Patrick X. Zhao 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.
Fonseca, Jose Pedro, Clarissa Boschiero, Pooja Pant, et al.. (2025). Identification of small signaling peptide-encoding genes modulated by host and nonhost bacterial pathogens in Arabidopsis. Journal of Experimental Botany. 76(22). 7123–7134.
3.
Roy, Sonali, Ivone Torres‐Jerez, Shulan Zhang, et al.. (2024). The peptide GOLVEN10 alters root development and noduletaxis in Medicago truncatula. The Plant Journal. 118(3). 607–625. 12 indexed citations
4.
Hixson, Kim, Diego Fajardo, Nicholas P. Devitt, et al.. (2023). Annotated genome sequence of a fast-growing diploid clone of red alder (Alnus rubra Bong.). G3 Genes Genomes Genetics. 13(6). 2 indexed citations
5.
Zhang, Wenchao, Yun Kang, Xiaofei Cheng, et al.. (2021). Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees. Frontiers in Plant Science. 12. 628421–628421. 2 indexed citations
6.
Fonseca, Jose Pedro, Hee‐Kyung Lee, Clarissa Boschiero, et al.. (2020). Iron–Sulfur Cluster Protein NITROGEN FIXATION S-LIKE1 and Its Interactor FRATAXIN Function in Plant Immunity. PLANT PHYSIOLOGY. 184(3). 1532–1548. 16 indexed citations
7.
Bang, Thomas C. de, Peter K. Lundquist, Xinbin Dai, et al.. (2017). Genome-Wide Identification of Medicago Peptides Involved in Macronutrient Responses and Nodulation. PLANT PHYSIOLOGY. 175(4). 1669–1689. 95 indexed citations
8.
Zhao, Patrick X.. (2015). The LegumeIP (2015 release) - a web-based comparative genomics and gene expression atlas platform to study gene function and genome evolution in legumes.
9.
Li, Jun, et al.. (2015). LegumeIP 2.0—a platform for the study of gene function and genome evolution in legumes. Nucleic Acids Research. 44(D1). D1189–D1194. 12 indexed citations
10.
Goettel, Wolfgang, et al.. (2014). Systems and Evolutionary Characterization of MicroRNAs and Their Underlying Regulatory Networks in Soybean Cotyledons. PLoS ONE. 9(1). e86153–e86153. 31 indexed citations
11.
Mishra, Nitish K., et al.. (2014). Prediction of Membrane Transport Proteins and Their Substrate Specificities Using Primary Sequence Information. PLoS ONE. 9(6). e100278–e100278. 87 indexed citations
12.
Liu, Zhipeng, Lichao Ma, Zhiguang Zhao, et al.. (2013). Global Transcriptome Sequencing Using the Illumina Platform and the Development of EST-SSR Markers in Autotetraploid Alfalfa. PLoS ONE. 8(12). e83549–e83549. 75 indexed citations
13.
Han, Yuanhong, Yun Kang, Ivone Torres‐Jerez, et al.. (2011). Genome-wide SNP discovery in tetraploid alfalfa using 454 sequencing and high resolution melting analysis. BMC Genomics. 12(1). 1–11. 69 indexed citations
14.
Wang, Mingyi, Vagner A. Benedito, Patrick X. Zhao, & Michael K. Udvardi. (2010). Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm. Molecular BioSystems. 6(6). 988–998. 8 indexed citations
15.
Dai, Xi, Zong Zhuang, & Patrick X. Zhao. (2010). Computational analysis of miRNA targets in plants: current status and challenges. Briefings in Bioinformatics. 12(2). 115–121. 114 indexed citations
16.
Naoumkina, Marina, Qiao Zhao, Lina Gallego‐Giraldo, et al.. (2010). Genome‐wide analysis of phenylpropanoid defence pathways. Molecular Plant Pathology. 11(6). 829–846. 319 indexed citations
17.
He, Ji, Vagner A. Benedito, Mingyi Wang, et al.. (2009). The Medicago truncatula gene expression atlas web server. BMC Bioinformatics. 10(1). 441–441. 140 indexed citations
18.
Tian, Li, Gregory J. Peel, Zhentian Lei, et al.. (2009). Transcript and proteomic analysis of developing white lupin (Lupinus albus L.) roots. BMC Plant Biology. 9(1). 1–1. 259 indexed citations
19.
Tadege, Million, Jiangqi Wen, Ji He, et al.. (2008). Large‐scale insertional mutagenesis using the Tnt1 retrotransposon in the model legume Medicago truncatula. The Plant Journal. 54(2). 335–347. 364 indexed citations
20.
Wang, Guodong, et al.. (2008). Terpene Biosynthesis in Glandular Trichomes. 46. 345–63. 1 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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