Xiaodan Chang

607 total citations · 1 hit paper
8 papers, 483 citations indexed

About

Xiaodan Chang is a scholar working on Molecular Biology, Control and Systems Engineering and Genetics. According to data from OpenAlex, Xiaodan Chang has authored 8 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Control and Systems Engineering and 2 papers in Genetics. Recurrent topics in Xiaodan Chang's work include Hydraulic and Pneumatic Systems (2 papers), Connective tissue disorders research (2 papers) and Porphyrin Metabolism and Disorders (1 paper). Xiaodan Chang is often cited by papers focused on Hydraulic and Pneumatic Systems (2 papers), Connective tissue disorders research (2 papers) and Porphyrin Metabolism and Disorders (1 paper). Xiaodan Chang collaborates with scholars based in China and United States. Xiaodan Chang's co-authors include Hongzhao Qi, Yu Ren, Xubo Yuan, Chunsheng Kang, Shanshan Zhang, Xin Hou, Lixia Long, Huanhuan Jia, Chaoyong Liu and Jin Zhao and has published in prestigious journals such as ACS Nano, Expert Systems with Applications and Gene.

In The Last Decade

Xiaodan Chang

8 papers receiving 479 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Blood Exosomes Endowed with Magnetic and Targeting Properties for Cancer Therapy

2016 415 citations Hongzhao Qi, Chaoyong Liu et al. ACS Nano profile →

Peers

Xiaodan Chang

MB

CR

BE

BIOMA

IMMUN

Lixue Wang China

Li‐Han Lin Taiwan

Yu‐Chung Liu Taiwan

Erfan Taatizadeh Canada

Kyle I. Mentkowski United States

Migara Kavishka Jayasinghe Singapore

Siwoo Cho South Korea

Linna Lu China

Dayeong Jeong South Korea

Hanna Kern United States

Lixue Wang China

Xiaodan Chang

258 ×0.7

MB

110 ×0.5

CR

233 ×1.9

BE

57 ×1.0

BIOMA

37 ×0.8

IMMUN

Citations per year, relative to Xiaodan Chang Xiaodan Chang (= 1×) peers Lixue Wang

Countries citing papers authored by Xiaodan Chang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaodan Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Chang. A scholar is included among the top collaborators of Xiaodan Chang 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 Xiaodan Chang. Xiaodan Chang 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:

8 of 8 papers shown

1.

Lin, Lishan, Hua Liao, Xiaodan Chang, et al.. (2025). Effects of azithromycin on alleviating airway inflammation in asthmatic mice by regulating airway microbiota and metabolites. Microbiology Spectrum. 13(3). e0221724–e0221724. 1 indexed citations

2.

Feng, Hao, et al.. (2024). Friction compensation control method for a typical excavator system based on the accurate friction model. Expert Systems with Applications. 254. 124494–124494. 5 indexed citations

3.

Feng, Hao, Xiaodan Chang, Chenbo Yin, et al.. (2023). Adaptive sliding mode controller based on fuzzy rules for a typical excavator electro-hydraulic position control system. Engineering Applications of Artificial Intelligence. 126. 107008–107008. 17 indexed citations

4.

Chang, Xiaodan, Lin Gao, Yujie Qiao, et al.. (2023). IL-17A promotes tumorigenesis and upregulates PD-L1 expression in non-small cell lung cancer. Journal of Translational Medicine. 21(1). 828–828. 26 indexed citations

5.

Gu, Yajuan, et al.. (2017). Identification of four novel XPC mutations in two xeroderma pigmentosum complementation group C patients and functional study of XPC Q320X mutant. Gene. 628. 162–169. 3 indexed citations

6.

Chang, Xiaodan, Yajuan Gu, Xuerong Chen, et al.. (2017). Novel mutations in the lipase H gene lead to secretion defects of LIPH in Chinese patients with autosomal recessive woolly hair/hypotrichosis (ARWH/HT). Mutagenesis. 32(6). 599–606. 6 indexed citations

7.

Chang, Xiaodan, et al.. (2016). T3 inhibits the calcification of vascular smooth muscle cells and the potential mechanism.. PubMed. 8(11). 4694–4704. 10 indexed citations

8.

Qi, Hongzhao, Chaoyong Liu, Lixia Long, et al.. (2016). Blood Exosomes Endowed with Magnetic and Targeting Properties for Cancer Therapy. ACS Nano. 10(3). 3323–3333. 415 indexed citations breakdown →

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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