Xiaolan Chang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 4
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
- Ubiquitin and proteasome pathways 1
-
- Cancer-related molecular mechanisms research 6
- Co-authors
- Dongyang Huang (14 shared papers)Xuhong Song (14 shared papers)Xiaoyang Jiao (7 shared papers)Zhongjing Su (5 shared papers)Bin Liang (7 shared papers)Qingdong Xie (4 shared papers)Yazhen Li (4 shared papers)Bin Liang (4 shared papers)
- Journals
- Clinical Science (2 papers)Disease Markers (2 papers)Hematological Oncology (1 paper)Journal of Neuro-Oncology (1 paper)Journal of Medical Virology (1 paper)
- Partner nations
- China
In The Last Decade
Xiaolan Chang
22 papers receiving 530 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 157
- Geriatrics and Gerontology 18
- Molecular Biology 279
- Neurology 27
- Hematology 29
Countries citing papers authored by Xiaolan Chang
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
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.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 84 | |
| 2 | 2015 | 47 | |
| 3 | 2016 | 44 | |
| 4 | 2021 | 41 | |
| 5 | 2014 | 39 | |
| 6 | Vimentin acetylation is involved in SIRT5-mediated hepatocellular carcinoma migration. | 2018 | 37 |
| 7 | 2019 | 35 | |
| 8 | 2019 | 32 | |
| 9 | 2016 | 25 | |
| 10 | 2019 | 24 | |
| 11 | 2018 | 24 | |
| 12 | 2019 | 21 | |
| 13 | 2015 | 17 | |
| 14 | 2019 | 15 | |
| 15 | 2015 | 15 | |
| 16 | 2015 | 14 | |
| 17 | 2011 | 7 | |
| 18 | 2014 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2012 | 3 |
About Xiaolan Chang
Xiaolan Chang is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Oncology and Immunology, having authored 23 papers that have together received 537 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Nuclear Receptors and Signaling (4 papers), RNA modifications and cancer (4 papers), Circular RNAs in diseases (3 papers), Macrophage Migration Inhibitory Factor (3 papers), RNA Research and Splicing (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (157 citations), Geriatrics and Gerontology (18 citations), Molecular Biology (279 citations), Neurology (27 citations) and Hematology (29 citations). Xiaolan Chang has collaborated with scholars based in China. Frequent co-authors include Dongyang Huang, Xuhong Song, Xiaoyang Jiao, Zhongjing Su, Bin Liang, Qingdong Xie, Yazhen Li, Bin Liang, Xina Xie and Ting Su. Their work appears in journals such as Clinical Science, Disease Markers, Hematological Oncology, Journal of Neuro-Oncology and Journal of Medical Virology.
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.