Xiaoyan Ding

637 total citations
33 papers, 459 citations indexed

About

Xiaoyan Ding is a scholar working on Obstetrics and Gynecology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Xiaoyan Ding has authored 33 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 9 papers in Molecular Biology and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Xiaoyan Ding's work include Pregnancy and preeclampsia studies (9 papers), Birth, Development, and Health (9 papers) and RNA Interference and Gene Delivery (5 papers). Xiaoyan Ding is often cited by papers focused on Pregnancy and preeclampsia studies (9 papers), Birth, Development, and Health (9 papers) and RNA Interference and Gene Delivery (5 papers). Xiaoyan Ding collaborates with scholars based in China, Germany and United States. Xiaoyan Ding's co-authors include Zi Yang, Yiwei Han, Xiaohe Li, Yingxia Liu, Zhaoqin Wang, Yanchao Pan, Lijiao Zeng, Jing Yuan, Yanhua Liang and Lei Liu and has published in prestigious journals such as PLoS ONE, Journal of Experimental Botany and Frontiers in Microbiology.

In The Last Decade

Xiaoyan Ding

31 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Ding China 12 165 98 86 82 73 33 459
Caio Perez Gomes Brazil 9 65 0.4× 79 0.8× 19 0.2× 113 1.4× 44 0.6× 20 359
Shengqing Wan China 5 451 2.7× 237 2.4× 178 2.1× 43 0.5× 13 0.2× 5 828
Shi Ouyang China 14 82 0.5× 291 3.0× 38 0.4× 52 0.6× 26 0.4× 37 647
Bandar A. Suliman Saudi Arabia 8 404 2.4× 222 2.3× 194 2.3× 42 0.5× 13 0.2× 21 753
Georgia G. Braliou Greece 11 187 1.1× 152 1.6× 13 0.2× 25 0.3× 22 0.3× 27 519
Rinki Minakshi India 11 239 1.4× 163 1.7× 49 0.6× 15 0.2× 7 0.1× 15 632
Michael A. Yarski Australia 6 142 0.9× 85 0.9× 40 0.5× 109 1.3× 10 0.1× 7 504
Cong Sun China 15 138 0.8× 184 1.9× 25 0.3× 90 1.1× 27 0.4× 47 737
Guangzhen He China 7 240 1.5× 90 0.9× 117 1.4× 13 0.2× 9 0.1× 11 445
Sean K. Maden United States 10 314 1.9× 265 2.7× 70 0.8× 27 0.3× 16 0.2× 14 657

Countries citing papers authored by Xiaoyan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Ding. A scholar is included among the top collaborators of Xiaoyan Ding 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 Xiaoyan Ding. Xiaoyan Ding 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
1.
Ding, Xiaoyan, et al.. (2025). Elucidating the inhibitory role of miR-140-5p in SARS-CoV-2 infection. International Immunopharmacology. 152. 114395–114395.
2.
Zhang, Jingjing, Chao Li, Dian He, et al.. (2025). Airway-applied mRNA vaccine needs tailored sequence design and high standard purification that removes devastating dsRNA contaminant. Molecular Therapy. 33(9). 4193–4215.
3.
Li, Jiashuo, et al.. (2025). Uncovering the heterogeneity of NK cells on the prognosis of HCC by integrating bulk and single-cell RNA-seq data. Frontiers in Oncology. 15. 1570647–1570647. 2 indexed citations
4.
Ding, Xiaoyan, Jing Zhao, Jie Zeng, et al.. (2024). A novel pan-epitope based nanovaccine self-assembled with CpG enhances immune responses against flavivirus. Journal of Nanobiotechnology. 22(1). 738–738. 5 indexed citations
5.
Ding, Xiaoyan, Hua Dong, Maocheng Yang, et al.. (2024). Enhancing Dengue Virus Production and Immunogenicity with Celcradle™ Bioreactor: A Comparative Study with Traditional Cell Culture Methods. Vaccines. 12(6). 563–563. 1 indexed citations
6.
Xu, Lifeng, Chao Li, Qin Xiao, et al.. (2024). From Sequence to System: Enhancing IVT mRNA Vaccine Effectiveness through Cutting-Edge Technologies. Molecular Pharmaceutics. 22(1). 81–102. 4 indexed citations
7.
Zhang, Liansheng, Zhiheng Jia, Qiang Wu, et al.. (2023). Alleviating symptoms of neurodegenerative disorders by astrocyte-specific overexpression of TMEM164 in mice. Nature Metabolism. 5(10). 1787–1802. 18 indexed citations
8.
Zhou, Xiaoyang, Weiyang Sun, Yu Zhang, et al.. (2023). A novel hACE2 knock-in mouse model recapitulates pulmonary and intestinal SARS-CoV-2 infection. Frontiers in Microbiology. 14. 1175188–1175188. 7 indexed citations
9.
Zhang, Jingjing, Yuheng Liu, Chao Li, et al.. (2023). Recent Advances and Innovations in the Preparation and Purification of In Vitro-Transcribed-mRNA-Based Molecules. Pharmaceutics. 15(9). 2182–2182. 21 indexed citations
10.
Ding, Xiaoyan, et al.. (2022). Cathepsin B is a potential therapeutic target for coronavirus disease 2019 patients with lung adenocarcinoma. Chemico-Biological Interactions. 353. 109796–109796. 15 indexed citations
11.
Yuan, Jing, Lijiao Zeng, Shanglong Kou, et al.. (2020). The correlation between viral clearance and biochemical outcomes of 94 COVID-19 infected discharged patients. Inflammation Research. 69(6). 599–606. 163 indexed citations
12.
Qiu, Ling, et al.. (2018). Effect of Epigallo-Catechin-3-Gallate on Lipid Metabolism Related Gene Expression and Yolk Fatty Acid Profiles of Laying Hens Exposed to Vanadium. Biological Trace Element Research. 190(2). 501–508. 4 indexed citations
13.
Ding, Xiaoyan, et al.. (2015). Correlation of long-chain fatty acid oxidation with oxidative stress and inflammation in pre-eclampsia-like mouse models. Placenta. 36(12). 1442–1449. 24 indexed citations
14.
Han, Yiwei, et al.. (2015). Differences in Liver Injury and Trophoblastic Mitochondrial Damage in Different Preeclampsia-like Mouse Models. Chinese Medical Journal. 128(12). 1627–1635. 16 indexed citations
15.
Ding, Xiaoyan, et al.. (2014). Fatty Acid Oxidation Changes and the Correlation with Oxidative Stress in Different Preeclampsia-Like Mouse Models. PLoS ONE. 9(10). e109554–e109554. 19 indexed citations
16.
Chen, Baode, Shicheng Yu, Xiaoyan Ding, et al.. (2014). The role of testicular nuclear receptor 4 in chemo-resistance of docetaxel in castration-resistant prostate cancer. Cancer Gene Therapy. 21(10). 411–415. 11 indexed citations
17.
Ding, Xiaoyan, et al.. (2014). Long-chain fatty acid oxidation changes in a β2 glycoprotein I-induced preeclampsia-like mouse model. Placenta. 35(6). 392–397. 14 indexed citations
18.
Yang, Zi, et al.. (2014). Correlation between the different chain lengths of free fatty acid oxidation and ability of trophoblastic invasion.. PubMed. 127(19). 3378–82. 5 indexed citations
19.
Shen, De Fen, Jingsheng Tuo, Alexandra A. Herzlich, et al.. (2008). Chlamydia Pneumoniae Infection, Complement Factor H Variant, and Age-Related Macular Degeneration (AMD). Investigative Ophthalmology & Visual Science. 49(13). 1356–1356. 1 indexed citations
20.
Ding, Xiaoyan, Alexandra A. Herzlich, Rachel Bishop, Jingsheng Tuo, & Chi‐Chao Chan. (2008). Ocular toxicity of fludarabine: a purine analog. Expert Review of Ophthalmology. 3(1). 97–109. 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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