Xingjun Jiang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in ⓘ
- Genetics 21
- Glioma Diagnosis and Treatment 18
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- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 13
- Co-authors
- Caiping Ren (75 shared papers)Bin Zhu (25 shared papers)Weidong Liu (32 shared papers)Hongyi Xing (2 shared papers)Ji Wang (2 shared papers)Hecheng Zhu (23 shared papers)Lin Wan (1 shared paper)Yan Wu (1 shared paper)
- Journals
- Frontiers in Oncology (5 papers)Frontiers in Genetics (5 papers)Frontiers in Immunology (4 papers)Biochemical and Biophysical Research Communications (4 papers)Stem Cells (3 papers)
- Partner nations
- ChinaSaudi ArabiaUnited States
In The Last Decade
Xingjun Jiang
99 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 493
- Neurology 214
- Genetics 198
- Developmental Neuroscience 65
- Molecular Biology 1.1k
Countries citing papers authored by Xingjun Jiang
This map shows the geographic impact of Xingjun Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingjun Jiang more than expected).
Fields of papers citing papers by Xingjun Jiang
This network shows the impact of papers produced by Xingjun Jiang. 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 Jiang. The network helps show where Xingjun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingjun Jiang, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 179 | |
| 2 | 2013 | 121 | |
| 3 | 2020 | 91 | |
| 4 | 2020 | 70 | |
| 5 | 2017 | 70 | |
| 6 | 2008 | 68 | |
| 7 | 2016 | 56 | |
| 8 | 2020 | 53 | |
| 9 | 2016 | 52 | |
| 10 | 2019 | 50 | |
| 11 | 2017 | 46 | |
| 12 | 2021 | 44 | |
| 13 | 2018 | 43 | |
| 14 | 2022 | 39 | |
| 15 | 2021 | 38 | |
| 16 | 2023 | 35 | |
| 17 | 2011 | 35 | |
| 18 | 2021 | 34 | |
| 19 | 2019 | 34 | |
| 20 | 2019 | 28 |
About Xingjun Jiang
Xingjun Jiang is a scholar working on Genetics, Cancer Research, Neurology, Molecular Biology and Physiology, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), MicroRNA in disease regulation (15 papers), RNA modifications and cancer (14 papers), Ferroptosis and cancer prognosis (13 papers), Cancer-related molecular mechanisms research (13 papers), CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (11 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Cancer Research (493 citations), Neurology (214 citations), Genetics (198 citations), Developmental Neuroscience (65 citations) and Molecular Biology (1.1k citations). Xingjun Jiang has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Caiping Ren, Bin Zhu, Weidong Liu, Hongyi Xing, Ji Wang, Hecheng Zhu, Lin Wan, Yan Wu, Quanwei Zhou and Ming Zhao. Their work appears in journals such as Frontiers in Oncology, Frontiers in Genetics, Frontiers in Immunology, Biochemical and Biophysical Research Communications and Stem Cells.
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.