Xiaolan Chang

653 citations
23 papers · 522 indexed · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • Gut microbiota and health

Papers in

Xiaolan Chang

22 papers receiving 518 citations

Peers

Xiaolan Chang
Comparison fields: 5 of 83
  • Cancer Research 171
  • Molecular Biology 316
  • Neurology 35
  • Geriatrics and Gerontology 15
  • Hematology 32
Replace Ming‐Cheng Lee with:
Ming‐Cheng Lee Taiwan
Dongyao Wang China
Liane Jurida Germany
Jeffery M. Smith United States
Sabrina De Carolis Italy
Kaiser Alam Saudi Arabia
Christopher Cervantes United States
Yongjie Zhu China
Yueshuo Li China
Cameron S. Field New Zealand
Xiaolan Chang relative to Ming‐Cheng Lee Taiwan Ming‐Cheng Lee's profile →
Citations per field
00.5×1.5×2.5×
Ming‐Cheng Lee · 1×
Citations per year

Countries citing papers authored by Xiaolan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaolan Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaolan Chang Line = papers co-authored together Xiaolan Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 201547
3 201642
4 201439
5 202137
6 201935
7
Vimentin acetylation is involved in SIRT5-mediated hepatocellular carcinoma migration.
201834
8 201931
9 201625
10 201825
11 201924
12 201920
13 201516
14 201515
15 201915
16 201512
17 20117
18 20146
19 20185
20 20123

About Xiaolan Chang

Xiaolan Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Oncology and Immunology, having authored 23 papers that have together received 522 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Nuclear Receptors and Signaling (5 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), Macrophage Migration Inhibitory Factor (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), RNA Research and Splicing (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cancer Research (171 citations), Molecular Biology (316 citations), Neurology (35 citations), Geriatrics and Gerontology (15 citations) and Hematology (32 citations). Xiaolan Chang has collaborated with scholars based in China. Frequent co-authors include Dongyang Huang, Xuhong Song, Xiaoyang Jiao, Zhongjing Su, Qingdong Xie, Bin Liang, Yazhen Li, Bin Liang, Xina Xie and Ting Su. Their work appears in journals such as Clinical Science, Disease Markers, Virus Research, Scientific Reports and Gene.

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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