Lida Xu

586 total citations
35 papers, 465 citations indexed

About

Lida Xu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lida Xu has authored 35 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lida Xu's work include Lipid Membrane Structure and Behavior (6 papers), Ferroptosis and cancer prognosis (5 papers) and RNA Interference and Gene Delivery (4 papers). Lida Xu is often cited by papers focused on Lipid Membrane Structure and Behavior (6 papers), Ferroptosis and cancer prognosis (5 papers) and RNA Interference and Gene Delivery (4 papers). Lida Xu collaborates with scholars based in China, United States and Netherlands. Lida Xu's co-authors include Shizhong Luo, Fude Sun, Xin Su, Pingfang Tian, Yingjie Yu, Lidan Li, Zhilin Qu, Yi Zhang, Peng Wei and Carsten Schroer and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Lida Xu

31 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lida Xu China	13	375	94	36	36	34	35	465
Miroslava Sedláčková Czechia	11	329 0.9×	72 0.8×	31 0.9×	18 0.5×	59 1.7×	18	495
Junqi Zhang China	12	278 0.7×	60 0.6×	21 0.6×	48 1.3×	26 0.8×	41	480
Michał Majkowski Poland	15	296 0.8×	59 0.6×	27 0.8×	45 1.3×	106 3.1×	29	493
Emma E. Coughlin United States	8	461 1.2×	79 0.8×	14 0.4×	19 0.5×	31 0.9×	8	657
Luisa Calvanese Italy	13	232 0.6×	35 0.4×	37 1.0×	16 0.4×	29 0.9×	32	358
Alfonso Rodríguez‐Gil Spain	15	509 1.4×	192 2.0×	18 0.5×	29 0.8×	34 1.0×	30	844
Talita Diniz Melo‐Hanchuk Brazil	12	201 0.5×	62 0.7×	44 1.2×	26 0.7×	91 2.7×	19	371
Justin R. Halman United States	18	604 1.6×	168 1.8×	41 1.1×	43 1.2×	27 0.8×	24	819
Jung‐Hyun Na South Korea	13	221 0.6×	52 0.6×	11 0.3×	13 0.4×	29 0.9×	32	381
Jiaxuan Chen China	9	372 1.0×	43 0.5×	18 0.5×	28 0.8×	11 0.3×	19	423

Countries citing papers authored by Lida Xu

Since Specialization

Citations

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

Fields of papers citing papers by Lida Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lida Xu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Shunda, Zhihua Ren, Yufei Zhang, et al.. (2025). Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer. Cancer Management and Research. Volume 17. 145–160.

Li, Boan, Kun Hao, Ailan Wang, et al.. (2024). Five miRNAs identified in fucosylated extracellular vesicles as non-invasive diagnostic signatures for hepatocellular carcinoma. Cell Reports Medicine. 5(9). 101716–101716. 17 indexed citations

Zhang, Yufei, et al.. (2024). The impact of antibiotic exposure on antibiotic resistance gene dynamics in the gut microbiota of inflammatory bowel disease patients. Frontiers in Microbiology. 15. 1382332–1382332. 6 indexed citations

Ding, Rui, et al.. (2023). Storage Stability of Blood Samples for miRNAs in Glycosylated Extracellular Vesicles. Molecules. 29(1). 103–103. 9 indexed citations

Huang, Lei, Junhu Wang, Lida Xu, et al.. (2023). A community study of neutralizing antibodies against SARS-CoV-2 in China. Frontiers in Immunology. 14. 1282612–1282612.

Yang, Zhao, Yinyan Xu, Ying Bi, et al.. (2021). Immune escape mechanisms and immunotherapy of urothelial bladder cancer. Journal of Clinical and Translational Research. 7(4). 485–500. 22 indexed citations

Yang, Zhao, Di Jin, Nan Zhang, et al.. (2021). Mutations of METTL3 predict response to neoadjuvant chemotherapy in muscle-invasive bladder cancer. Journal of Clinical and Translational Research. 7(3). 386–413. 4 indexed citations

Wang, Huimin, et al.. (2021). The methodological challenge in high‐throughput profiling and quantifying microRNAs. Quantitative Biology. 10(4). 321–332.

Zhang, Zan, et al.. (2021). Bioinformatics analysis reveals biomarkers with cancer stem cell characteristics in kidney renal clear cell carcinoma. Translational Andrology and Urology. 10(8). 3501–3514. 3 indexed citations

10.

Zhang, Zan, et al.. (2021). Comprehensive analysis of immune related lncRNAs in the tumor microenvironment of stage II–III colorectal cancer. Journal of Gastrointestinal Oncology. 12(5). 2232–2243. 2 indexed citations

11.

Hao, Jun, et al.. (2021). Identification of Prognostic Biomarkers Among FAM83 Family Genes in Human Ovarian Cancer Through Bioinformatic Analysis and Experimental Verification. Cancer Management and Research. Volume 13. 8611–8627. 7 indexed citations

12.

Sun, Fude, et al.. (2020). Molecular mechanism for bidirectional regulation of CD44 for lipid raft affiliation by palmitoylations and PIP2. PLoS Computational Biology. 16(4). e1007777–e1007777. 28 indexed citations

13.

Zhao, Peng, et al.. (2019). Exploiting tandem repetitive promoters for high-level production of 3-hydroxypropionic acid. Applied Microbiology and Biotechnology. 103(10). 4017–4031. 35 indexed citations

14.

Li, Fusheng, et al.. (2019). Identification of Driver Genes in Lung Squamous Cell Carcinoma and Lung Adenocarcinoma. 1(4). 13–13. 1 indexed citations

15.

Sun, Fude, et al.. (2018). Molecular Dynamics of the Association of L-Selectin and FERM Regulated by PIP2. Biophysical Journal. 114(8). 1858–1868. 30 indexed citations

16.

Li, Ying, et al.. (2018). Engineering CRISPR interference system in Klebsiella pneumoniae for attenuating lactic acid synthesis. Microbial Cell Factories. 17(1). 56–56. 35 indexed citations

17.

Wei, Peng, Fude Sun, Limin Zuo, et al.. (2017). Critical residues and motifs for homodimerization of the first transmembrane domain of the plasma membrane glycoprotein CD36. Journal of Biological Chemistry. 292(21). 8683–8693. 10 indexed citations

18.

Wei, Peng, Lida Xu, Fude Sun, et al.. (2014). Molecular Dynamic Simulation of the Self-Assembly of DAP12-NKG2C Activating Immunoreceptor Complex. PLoS ONE. 9(8). e105560–e105560. 9 indexed citations

19.

Sun, Fude, Lei Zhang, Jianhua Yan, et al.. (2014). The synthesis and photolysis mechanisms of 8-nitroquinoline-based photolabile caging groups for carboxylic acid. Journal of Physical Organic Chemistry. 27(12). 981–985. 2 indexed citations

20.

Xu, Lida & Zhilin Qu. (2012). Roles of Protein Ubiquitination and Degradation Kinetics in Biological Oscillations. PLoS ONE. 7(4). e34616–e34616. 23 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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