Maoxing Fei
Impact in
-
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- Chromatin Remodeling and Cancer 2
-
- Galectins and Cancer Biology 2
- Co-authors
- Wenhao Niu (7 shared papers)Yihao Zhu (6 shared papers)Handong Wang (7 shared papers)Yanling Han (7 shared papers)Lei Yao (1 shared paper)Xinyue Wang (1 shared paper)Li Zhang (3 shared papers)Meng‐Liang Zhou (5 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Brain Research (2 papers)Molecular Biology Reports (1 paper)Frontiers in Oncology (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- China
In The Last Decade
Maoxing Fei
17 papers receiving 376 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 87
- Neurology 29
- Pulmonary and Respiratory Medicine 107
- Molecular Biology 182
- Biological Psychiatry 6
Countries citing papers authored by Maoxing Fei
This map shows the geographic impact of Maoxing Fei'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 Maoxing Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maoxing Fei more than expected).
Fields of papers citing papers by Maoxing Fei
This network shows the impact of papers produced by Maoxing Fei. 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 Maoxing Fei. The network helps show where Maoxing Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Maoxing Fei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2018 | 52 | |
| 3 | 2019 | 43 | |
| 4 | 2022 | 34 | |
| 5 | 2019 | 31 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 22 | |
| 9 | 2020 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 3 | |
| 14 | 2024 | 3 | |
| 15 | Baicalin suppresses proliferation, migration, and invasion in human glioblastoma cells via Ca2+-dependent pathway | 2018 | 1 |
| 16 | 2024 | 1 | |
| 17 | Knockdown of T Cell Immunoglobulin and Mucin 1 (Tim-1) Suppresses Glioma Progression Through Inhibition of the Cytokine-PI3K/AKT Pathway | 2020 | 1 |
About Maoxing Fei
Maoxing Fei is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 17 papers that have together received 378 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (3 papers), Autophagy in Disease and Therapy (3 papers), Ferroptosis and cancer prognosis (2 papers), Galectins and Cancer Biology (2 papers), Flavonoids in Medical Research (2 papers), Chromatin Remodeling and Cancer (2 papers), MicroRNA in disease regulation (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Cancer Research (87 citations), Neurology (29 citations), Pulmonary and Respiratory Medicine (107 citations), Molecular Biology (182 citations) and Biological Psychiatry (6 citations). Maoxing Fei has collaborated with scholars based in China. Frequent co-authors include Wenhao Niu, Yihao Zhu, Handong Wang, Yanling Han, Lei Yao, Xinyue Wang, Li Zhang, Meng‐Liang Zhou, Ting Tang and Kaichao Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Brain Research, Molecular Biology Reports, Frontiers in Oncology and Molecular Neurobiology.
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.