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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- Wnt/β-catenin signaling in development and cancer 2
- Extracellular vesicles in disease 2
- Chromatin Remodeling and Cancer 2
- Co-authors
- Bo Liu (14 shared papers)Guanghui Wei (5 shared papers)Deying Zhang (5 shared papers)Zhou Fu (13 shared papers)Wenjing Zou (7 shared papers)Zhou Fu (4 shared papers)Chao Niu (6 shared papers)Yuanyuan Zhang (2 shared papers)
- Journals
- Inflammation Research (2 papers)Respiratory Research (2 papers)Scientific Reports (2 papers)Therapeutic Advances in Respiratory Disease (1 paper)Journal of Molecular Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fengxia Ding
28 papers receiving 510 citations
Peers
Comparison fields: 5 of 71
- Genetics 56
- Immunology 68
- Nephrology 22
- Molecular Biology 180
- Internal Medicine 8
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 90 | |
| 2 | 2016 | 49 | |
| 3 | 2017 | 40 | |
| 4 | 2018 | 38 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 29 | |
| 7 | 2019 | 27 | |
| 8 | 2018 | 27 | |
| 9 | Ursolic acid attenuates temozolomide resistance in glioblastoma cells by downregulating O(6)-methylguanine-DNA methyltransferase (MGMT) expression. | 2016 | 26 |
| 10 | 2018 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2024 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2017 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2021 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2023 | 6 |
About Fengxia Ding
Fengxia Ding is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Physiology, Immunology and Oncology, having authored 31 papers that have together received 515 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), T-cell and B-cell Immunology (2 papers), Antimicrobial Peptides and Activities (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), IL-33, ST2, and ILC Pathways (2 papers), Extracellular vesicles in disease (2 papers), Chromatin Remodeling and Cancer (2 papers) and Foreign Body Medical Cases (1 paper). The work is most often cited by research in Genetics (56 citations), Immunology (68 citations), Nephrology (22 citations), Molecular Biology (180 citations) and Internal Medicine (8 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, Chao Niu, Yuanyuan Zhang, Tao Lin and Lianju Shen. Their work appears in journals such as Inflammation Research, Respiratory Research, Scientific Reports, Therapeutic Advances in Respiratory Disease and Journal of Molecular Medicine.
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.