Xiaoling Chen
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Microbiology top 5%
Papers in
-
- Plant Reproductive Biology 6
- Ion channel regulation and function 5
- Co-authors
- KeWei Wang (5 shared papers)Wen‐Qing Lu (1 shared paper)Defa Li (1 shared paper)Yunhe Cao (1 shared paper)Weiheng Hu (14 shared papers)Guangming Tian (14 shared papers)Jun Nie (13 shared papers)Xiangjuan Ma (14 shared papers)
- Journals
- Acta Pharmaceutica Sinica B (3 papers)European Journal of Dermatology (3 papers)Gene (2 papers)Neurology (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Xiaoling Chen
130 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 141
- Neurology 138
- Microbiology 89
- Oncology 316
- Biotechnology 95
- Developmental Neuroscience 41
Countries citing papers authored by Xiaoling Chen
This map shows the geographic impact of Xiaoling Chen'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 Xiaoling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Chen more than expected).
Fields of papers citing papers by Xiaoling Chen
This network shows the impact of papers produced by Xiaoling Chen. 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 Xiaoling Chen. The network helps show where Xiaoling Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Chen, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 121 | |
| 2 | 2015 | 115 | |
| 3 | 2014 | 102 | |
| 4 | 2021 | 68 | |
| 5 | 2016 | 65 | |
| 6 | 2018 | 59 | |
| 7 | 2014 | 50 | |
| 8 | 2020 | 46 | |
| 9 | 2016 | 44 | |
| 10 | 2024 | 43 | |
| 11 | 2007 | 42 | |
| 12 | 2011 | 40 | |
| 13 | 2012 | 38 | |
| 14 | 2017 | 38 | |
| 15 | 2018 | 37 | |
| 16 | 2021 | 33 | |
| 17 | 2019 | 32 | |
| 18 | 2020 | 31 | |
| 19 | 2016 | 30 | |
| 20 | 2017 | 30 |
About Xiaoling Chen
Xiaoling Chen is a scholar working on Molecular Biology, Microbiology, Cell Biology, Oncology and Neurology, having authored 136 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Plant Reproductive Biology (6 papers), MicroRNA in disease regulation (6 papers), Skin and Cellular Biology Research (6 papers), Ion channel regulation and function (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Neurology (138 citations), Microbiology (89 citations), Oncology (316 citations), Biotechnology (95 citations) and Developmental Neuroscience (41 citations). Xiaoling Chen has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include KeWei Wang, Wen‐Qing Lu, Defa Li, Yunhe Cao, Weiheng Hu, Guangming Tian, Jun Nie, Xiangjuan Ma, Jindi Han and Di Wu. Their work appears in journals such as Acta Pharmaceutica Sinica B, European Journal of Dermatology, Gene, Neurology and Bioorganic & Medicinal Chemistry Letters.
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.