Fengxia Ding
Impact in
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- Mesenchymal stem cell research
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- IL-33, ST2, and ILC Pathways
Papers in
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- Extracellular vesicles in disease 4
- Chromatin Remodeling and Cancer 3
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- IL-33, ST2, and ILC Pathways 6
- Co-authors
- Bo Liu (14 shared papers)Guanghui Wei (5 shared papers)Deying Zhang (5 shared papers)Zhou Fu (12 shared papers)Wenjing Zou (7 shared papers)Zhou Fu (4 shared papers)Tao Lin (2 shared papers)Chao Niu (6 shared papers)
- Journals
- Inflammation Research (2 papers)Scientific Reports (2 papers)Respiratory Research (2 papers)Journal of the American Academy of Dermatology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fengxia Ding
27 papers receiving 477 citations
Peers
Comparison fields: 5 of 76
- Genetics 66
- Immunology 92
- Nephrology 29
- Internal Medicine 12
- Molecular Biology 211
Countries citing papers authored by Fengxia Ding
This map shows the geographic impact of Fengxia Ding'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 Fengxia Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengxia Ding more than expected).
Fields of papers citing papers by Fengxia Ding
This network shows the impact of papers produced by Fengxia Ding. 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 Fengxia Ding. The network helps show where Fengxia Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengxia Ding, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 87 | |
| 2 | 2016 | 49 | |
| 3 | 2017 | 38 | |
| 4 | 2018 | 36 | |
| 5 | 2017 | 30 | |
| 6 | 2018 | 26 | |
| 7 | 2019 | 25 | |
| 8 | Ursolic acid attenuates temozolomide resistance in glioblastoma cells by downregulating O(6)-methylguanine-DNA methyltransferase (MGMT) expression. | 2016 | 25 |
| 9 | 2017 | 24 | |
| 10 | 2018 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2024 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2021 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2023 | 6 |
About Fengxia Ding
Fengxia Ding is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 30 papers that have together received 481 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (6 papers), IL-33, ST2, and ILC Pathways (6 papers), Extracellular vesicles in disease (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Pediatric health and respiratory diseases (3 papers), Chromatin Remodeling and Cancer (3 papers), Cancer Treatment and Pharmacology (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Genetics (66 citations), Immunology (92 citations), Nephrology (29 citations), Internal Medicine (12 citations) and Molecular Biology (211 citations). Fengxia Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bo Liu, Guanghui Wei, Deying Zhang, Zhou Fu, Wenjing Zou, Zhou Fu, Tao Lin, Chao Niu, Chunlan Long and Bo Liu. Their work appears in journals such as Inflammation Research, Scientific Reports, Respiratory Research, Journal of the American Academy of Dermatology and Frontiers in Immunology.
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.