Xingjun Meng
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Gestational Diabetes Research and Management 4
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- MicroRNA in disease regulation 3
- Co-authors
- Shaogang Qu (9 shared papers)Huichun Tong (4 shared papers)Yunlong Zhang (4 shared papers)Xiuping Zhang (3 shared papers)Dongmei Mai (3 shared papers)Xiuping Zhang (2 shared papers)Xiaojuan Wu (3 shared papers)Xiaoliang He (2 shared papers)
- Journals
- ACS Chemical Neuroscience (3 papers)Neuro-Oncology (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Aging (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xingjun Meng
20 papers receiving 560 citations
Peers
Comparison fields: 5 of 71
- Biological Psychiatry 24
- Neurology 76
- Cellular and Molecular Neuroscience 156
- Neurology 95
- Cancer Research 77
Countries citing papers authored by Xingjun Meng
This map shows the geographic impact of Xingjun Meng'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 Xingjun Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingjun Meng more than expected).
Fields of papers citing papers by Xingjun Meng
This network shows the impact of papers produced by Xingjun Meng. 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 Xingjun Meng. The network helps show where Xingjun Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingjun Meng, 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 | 2017 | 84 | |
| 2 | 2018 | 78 | |
| 3 | 2019 | 48 | |
| 4 | 2020 | 41 | |
| 5 | 2019 | 37 | |
| 6 | 2019 | 34 | |
| 7 | 2014 | 32 | |
| 8 | 2017 | 31 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2022 | 21 | |
| 12 | 2021 | 19 | |
| 13 | Elevated DNA polymerase iota (Poli) is involved in the acquisition of aggressive phenotypes of human esophageal squamous cell cancer. | 2015 | 17 |
| 14 | 2021 | 17 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 12 | |
| 17 | Microarray analysis of anti-cancer effects of docosahexaenoic acid on human colon cancer model in nude mice. | 2015 | 11 |
| 18 | 2020 | 11 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 6 |
About Xingjun Meng
Xingjun Meng is a scholar working on Obstetrics and Gynecology, Cancer Research, Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 20 papers that have together received 566 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (4 papers), Gestational Diabetes Research and Management (4 papers), Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers), MicroRNA in disease regulation (3 papers), RNA regulation and disease (3 papers), Histone Deacetylase Inhibitors Research (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Neurology (76 citations), Cellular and Molecular Neuroscience (156 citations), Neurology (95 citations) and Cancer Research (77 citations). Xingjun Meng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaogang Qu, Huichun Tong, Yunlong Zhang, Xiuping Zhang, Dongmei Mai, Xiuping Zhang, Xiaojuan Wu, Xiaoliang He, Lingli Lu and Ping-yi Xu. Their work appears in journals such as ACS Chemical Neuroscience, Neuro-Oncology, The International Journal of Biochemistry & Cell Biology, Aging and Cell Death and Disease.
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.