Xuling Zhu

1.5k total citations
18 papers, 772 citations indexed

About

Xuling Zhu is a scholar working on Molecular Biology, Clinical Biochemistry and Plant Science. According to data from OpenAlex, Xuling Zhu has authored 18 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Clinical Biochemistry and 4 papers in Plant Science. Recurrent topics in Xuling Zhu's work include Metabolism and Genetic Disorders (4 papers), Metal-Catalyzed Oxygenation Mechanisms (3 papers) and Metalloenzymes and iron-sulfur proteins (3 papers). Xuling Zhu is often cited by papers focused on Metabolism and Genetic Disorders (4 papers), Metal-Catalyzed Oxygenation Mechanisms (3 papers) and Metalloenzymes and iron-sulfur proteins (3 papers). Xuling Zhu collaborates with scholars based in United States, China and Sweden. Xuling Zhu's co-authors include Hening Lin, Paolo G.V. Martini, Jack H. Freed, Boris Dzikovski, G. Pappas, Kristine Burke, Andrew T. Torelli, S.E. Ealick, Xiaoyang Su and Yang Zhang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Xuling Zhu

18 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuling Zhu United States 13 514 134 130 64 58 18 772
Sarah C. Trewick United Kingdom 7 1.3k 2.4× 38 0.3× 151 1.2× 189 3.0× 12 0.2× 10 1.4k
Ru‐Juan Liu China 20 969 1.9× 62 0.5× 36 0.3× 39 0.6× 15 0.3× 47 1.2k
Ralph Krätzner Germany 15 423 0.8× 15 0.1× 68 0.5× 70 1.1× 51 0.9× 28 764
Tateki Suzuki Japan 12 506 1.0× 46 0.3× 50 0.4× 13 0.2× 13 0.2× 19 611
Shigeko Yamazaki United States 12 434 0.8× 63 0.5× 56 0.4× 22 0.3× 15 0.3× 19 615
Zhanyang Zhu United States 13 379 0.7× 25 0.2× 65 0.5× 47 0.7× 16 0.3× 18 605
Tatsuo Yagura Japan 16 492 1.0× 22 0.2× 143 1.1× 47 0.7× 18 0.3× 49 779
Charles Osborne United States 9 370 0.7× 26 0.2× 59 0.5× 24 0.4× 7 0.1× 11 513
Todd Weaver United States 14 460 0.9× 22 0.2× 44 0.3× 8 0.1× 24 0.4× 24 620
Lilian Chooback United States 12 204 0.4× 59 0.4× 17 0.1× 36 0.6× 25 0.4× 17 401

Countries citing papers authored by Xuling Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xuling Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuling Zhu

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

All Works

18 of 18 papers shown
1.
Xiong, Erhui, Hongli Liu, Wenyan Lü, et al.. (2023). WGCNA and transcriptome profiling reveal hub genes for key development stage seed size/oil content between wild and cultivated soybean. BMC Genomics. 24(1). 494–494. 16 indexed citations
2.
Lü, Jianhua, Xuling Zhu, Yanli Liu, et al.. (2023). AtMYBS1 negatively regulates heat tolerance by directly repressing the expression of MAX1 required for strigolactone biosynthesis in Arabidopsis. Plant Communications. 4(6). 100675–100675. 15 indexed citations
3.
Liu, Xiao-Bo, Kristine Burke, Xuling Zhu, et al.. (2022). Intermittent lipid nanoparticle mRNA administration prevents cortical dysmyelination associated with arginase deficiency. Molecular Therapy — Nucleic Acids. 28. 859–874. 16 indexed citations
4.
Chu, Shanshan, Ke Li, Junfeng Li, et al.. (2022). Comparisons of constitutive resistances to soybean cyst nematode between PI 88788- and Peking-type sources of resistance in soybean by transcriptomic and metabolomic profilings. Frontiers in Genetics. 13. 1055867–1055867. 4 indexed citations
5.
Karadagi, Ahmad, Helen Zemack, Greg Nowak, et al.. (2020). Systemic modified messenger RNA for replacement therapy in alpha 1-antitrypsin deficiency. Scientific Reports. 10(1). 7052–7052. 43 indexed citations
6.
Jiang, Lei, Ling Yin, Eric Jacquinet, et al.. (2020). Dual mRNA therapy restores metabolic function in long-term studies in mice with propionic acidemia. Nature Communications. 11(1). 5339–5339. 91 indexed citations
7.
Li, Hongying, et al.. (2020). Effects of Dietary 5′-CMP on Neu5Gc Contents in the Muscle and Viscera of Xiang Pigs. Journal of Food Protection. 84(1). 23–30. 4 indexed citations
8.
Zhu, Xuling, Ling Yin, Summar Siddiqui, et al.. (2019). Systemic mRNA Therapy for the Treatment of Fabry Disease: Preclinical Studies in Wild-Type Mice, Fabry Mouse Model, and Wild-Type Non-human Primates. The American Journal of Human Genetics. 104(4). 625–637. 122 indexed citations
9.
Allegri, Gabriella, Xiaobo Liu, Kristine Burke, et al.. (2019). Lipid nanoparticle-targeted mRNA therapy as a treatment for the inherited metabolic liver disorder arginase deficiency. Proceedings of the National Academy of Sciences. 116(42). 21150–21159. 110 indexed citations
10.
Li, Hongying, et al.. (2019). [Effects of genistein on N-glycolylneuraminic acid content in rats and the interaction with sialyl transferase].. PubMed. 35(5). 857–870. 2 indexed citations
11.
Schelvis, Johannes P. M., Xuling Zhu, & Yvonne M. Gindt. (2015). Enzyme–Substrate Binding Kinetics Indicate That Photolyase Recognizes an Extrahelical Cyclobutane Thymidine Dimer. Biochemistry. 54(40). 6176–6185. 5 indexed citations
12.
Dong, Min, Xiaoyang Su, Boris Dzikovski, et al.. (2014). Dph3 Is an Electron Donor for Dph1-Dph2 in the First Step of Eukaryotic Diphthamide Biosynthesis. Journal of the American Chemical Society. 136(5). 1754–1757. 57 indexed citations
13.
Parker, Mackenzie J., Xuling Zhu, & JoAnne Stubbe. (2014). Bacillus subtilis Class Ib Ribonucleotide Reductase: High Activity and Dynamic Subunit Interactions. Biochemistry. 53(4). 766–776. 14 indexed citations
14.
Jiang, Hong, Robert Sherwood, Sheng Zhang, et al.. (2012). Identification of ADP-ribosylation sites of CD38 mutants by precursor ion scanning mass spectrometry. Analytical Biochemistry. 433(2). 218–226. 8 indexed citations
15.
Pappas, G. & Xuling Zhu. (2012). Local models of Shimura varieties and a conjecture of Kottwitz. Inventiones mathematicae. 194(1). 147–254. 49 indexed citations
16.
Zhu, Xuling, Boris Dzikovski, Xiaoyang Su, et al.. (2010). Mechanistic understanding of Pyrococcus horikoshii Dph2, a [4Fe–4S] enzyme required for diphthamidebiosynthesis. Molecular BioSystems. 7(1). 74–81. 32 indexed citations
17.
Zhang, Yang, Xuling Zhu, Andrew T. Torelli, et al.. (2010). Diphthamide biosynthesis requires an organic radical generated by an iron–sulphur enzyme. Nature. 465(7300). 891–896. 165 indexed citations
18.
Zhu, Xuling, Jung-Woo Kim, Xiaoyang Su, & Hening Lin. (2010). Reconstitution of Diphthine Synthase Activity in Vitro. Biochemistry. 49(44). 9649–9657. 19 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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2026