Xiaolan Du

2.4k total citations
48 papers, 1.5k citations indexed

About

Xiaolan Du is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Xiaolan Du has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 17 papers in Genetics and 7 papers in Rheumatology. Recurrent topics in Xiaolan Du's work include Fibroblast Growth Factor Research (21 papers), Connective tissue disorders research (13 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Xiaolan Du is often cited by papers focused on Fibroblast Growth Factor Research (21 papers), Connective tissue disorders research (13 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Xiaolan Du collaborates with scholars based in China, United States and Australia. Xiaolan Du's co-authors include Lin Chen, Yangli Xie, Hangang Chen, Nan Su, Siru Zhou, Zhenhong Ni, Junjie Ouyang, Qiaoyan Tan, Cory J. Xian and Liang Kuang and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaolan Du

44 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolan Du China 21 1.0k 494 360 278 148 48 1.5k
Elda Munivez United States 19 1.0k 1.0× 475 1.0× 574 1.6× 437 1.6× 225 1.5× 25 1.7k
Hangang Chen China 13 896 0.9× 392 0.8× 122 0.3× 276 1.0× 137 0.9× 19 1.4k
Yufeng Dong United States 25 1.2k 1.2× 440 0.9× 154 0.4× 322 1.2× 308 2.1× 36 1.8k
Stefano Zanotti United States 29 1.7k 1.6× 311 0.6× 373 1.0× 240 0.9× 353 2.4× 54 2.1k
Andrew M. Ho United States 13 715 0.7× 383 0.8× 272 0.8× 157 0.6× 240 1.6× 16 1.7k
Jennifer H. Jonason United States 23 803 0.8× 439 0.9× 140 0.4× 187 0.7× 257 1.7× 38 1.5k
Ikuyo Kou Japan 19 874 0.9× 714 1.4× 391 1.1× 247 0.9× 210 1.4× 25 1.8k
Qiaoyan Tan China 14 723 0.7× 310 0.6× 117 0.3× 191 0.7× 126 0.9× 26 1.2k
Hisato Komori Japan 17 836 0.8× 218 0.4× 166 0.5× 178 0.6× 253 1.7× 26 1.3k
Tujun Weng China 16 899 0.9× 219 0.4× 194 0.5× 149 0.5× 269 1.8× 30 1.3k

Countries citing papers authored by Xiaolan Du

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolan Du

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolan Du. A scholar is included among the top collaborators of Xiaolan Du 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 Xiaolan Du. Xiaolan Du 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.
2.
Ba, Liangjie, et al.. (2025). Research progress on the mechanism and application of polyamines in postharvest preservation of fruit and vegetables. Scientia Horticulturae. 353. 114476–114476.
3.
Xiong, David D., Liu Fei, Na Tan, et al.. (2025). Super-resolution deep learning in pediatric CTA for congenital heart disease: enhancing intracardiac visualization under free-breathing conditions. European Radiology. 36(1). 182–193. 1 indexed citations
4.
Chen, Liang, Jin Yang, Hangang Chen, et al.. (2024). Total body water percentage and 3rd space water are novel risk factors for training-related lower extremity muscle injuries in young males. Chinese Journal of Traumatology. 27(3). 168–172.
5.
Zhang, Guodong, Xiaolan Du, Guocheng Li, et al.. (2023). Transcriptome profile analysis revealed the potential mechanism of LIPUS treatment for Adriamycin-induced chronic kidney disease rat. Heliyon. 9(11). e21531–e21531. 2 indexed citations
6.
Du, Xiaolan, Chao An, Xuliang Chen, et al.. (2023). Structural, vibrational, and electrical transport properties of nodal-line semimetal candidate CaCdGe under high pressure. Physical review. B.. 108(1). 1 indexed citations
7.
Ouyang, Junjie, Bin Zhang, Liang Kuang, et al.. (2020). Pulsed Electromagnetic Field Inhibits Synovitis via Enhancing the Efferocytosis of Macrophages. BioMed Research International. 2020(1). 4307385–4307385. 13 indexed citations
8.
Ni, Zhenhong, Siru Zhou, Song Li, et al.. (2020). Exosomes: roles and therapeutic potential in osteoarthritis. Bone Research. 8(1). 25–25. 217 indexed citations
9.
Zhang, Bin, Hangang Chen, Junjie Ouyang, et al.. (2019). SQSTM1-dependent autophagic degradation of PKM2 inhibits the production of mature IL1B/IL-1β and contributes to LIPUS-mediated anti-inflammatory effect. Autophagy. 16(7). 1262–1278. 93 indexed citations
10.
Ni, Zhenhong, Liang Kuang, Hangang Chen, et al.. (2019). The exosome-like vesicles from osteoarthritic chondrocyte enhanced mature IL-1β production of macrophages and aggravated synovitis in osteoarthritis. Cell Death and Disease. 10(7). 522–522. 144 indexed citations
11.
Yi, Young‐Su, Jinlong Jian, Qingyun Tian, et al.. (2018). p204 Is Required for Canonical Lipopolysaccharide-induced TLR4 Signaling in Mice. EBioMedicine. 29. 78–91. 20 indexed citations
12.
Xie, Yangli, Fengtao Luo, Wei Xu, et al.. (2017). FGFR3 deficient mice have accelerated fracture repair. International Journal of Biological Sciences. 13(8). 1029–1037. 11 indexed citations
13.
Zhou, Siru, Yangli Xie, Wei Li, et al.. (2016). Conditional Deletion of Fgfr3 in Chondrocytes leads to Osteoarthritis-like Defects in Temporomandibular Joint of Adult Mice. Scientific Reports. 6(1). 24039–24039. 42 indexed citations
14.
Luo, Fengtao, Yangli Xie, Wei Xu, et al.. (2016). Deformed Skull Morphology Is Caused by the Combined Effects of the Maldevelopment of Calvarias, Cranial Base and Brain in FGFR2-P253R Mice Mimicking Human Apert Syndrome. International Journal of Biological Sciences. 13(1). 32–45. 11 indexed citations
15.
Zhou, Siru, Yangli Xie, Junzhou Tang, et al.. (2015). FGFR3 Deficiency Causes Multiple Chondroma-like Lesions by Upregulating Hedgehog Signaling. PLoS Genetics. 11(6). e1005214–e1005214. 42 indexed citations
16.
Su, Nan, Fengtao Luo, Xuan Wen, et al.. (2014). Deletion of Fgfr1 in Osteoblasts Enhances Mobilization of EPCs into Peripheral Blood in a Mouse Endotoxemia Model. International Journal of Biological Sciences. 10(9). 1064–1071. 8 indexed citations
17.
Luo, Fengtao, Xiaolan Du, Tujun Weng, et al.. (2012). Efficient multi-site-directed mutagenesis directly from genomic template. Journal of Biosciences. 37(S1). 965–969. 6 indexed citations
18.
Zhu, Tian Ran, Xiaolan Du, Nan Su, et al.. (2012). Serum Bone Alkaline Phosphatase in Assessing Illness Severity of Infected Neonates in the Neonatal Intensive Care Unit. International Journal of Biological Sciences. 8(1). 30–38. 6 indexed citations
19.
Su, Nan, Xiaoling Xu, Cuiling Li, et al.. (2010). Generation of Fgfr3 Conditional Knockout Mice. International Journal of Biological Sciences. 6(4). 327–332. 35 indexed citations
20.

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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