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 18
- Glioma Diagnosis and Treatment 14
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- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 9
- Co-authors
- Caiping Ren (77 shared papers)Weidong Liu (34 shared papers)Bin Zhu (25 shared papers)Hecheng Zhu (23 shared papers)Ji Wang (2 shared papers)Hongyi Xing (2 shared papers)Quanwei Zhou (19 shared papers)Lin Wan (1 shared paper)
- Journals
- Frontiers in Genetics (5 papers)Frontiers in Oncology (5 papers)Biochemical and Biophysical Research Communications (4 papers)Frontiers in Immunology (4 papers)International Journal of Biological Sciences (3 papers)
- Partner nations
- ChinaSaudi ArabiaHong Kong
In The Last Decade
Xingjun Jiang
103 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Cancer Research 388
- Neurology 200
- Developmental Neuroscience 79
- Genetics 188
- Molecular Biology 956
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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 187 | |
| 2 | 2013 | 128 | |
| 3 | 2020 | 107 | |
| 4 | 2017 | 79 | |
| 5 | 2008 | 72 | |
| 6 | 2020 | 72 | |
| 7 | 2016 | 61 | |
| 8 | 2016 | 54 | |
| 9 | 2021 | 53 | |
| 10 | 2020 | 53 | |
| 11 | 2019 | 52 | |
| 12 | 2023 | 49 | |
| 13 | 2017 | 48 | |
| 14 | 2022 | 47 | |
| 15 | 2018 | 45 | |
| 16 | 2018 | 44 | |
| 17 | 2021 | 43 | |
| 18 | 2019 | 39 | |
| 19 | 2011 | 36 | |
| 20 | 2021 | 36 |
About Xingjun Jiang
Xingjun Jiang is a scholar working on Genetics, Cancer Research, Molecular Biology, Neurology and Pathology and Forensic Medicine, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (11 papers), Ferroptosis and cancer prognosis (11 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers) and Spinal Cord Injury Research (8 papers). The work is most often cited by research in Cancer Research (388 citations), Neurology (200 citations), Developmental Neuroscience (79 citations), Genetics (188 citations) and Molecular Biology (956 citations). Xingjun Jiang has collaborated with scholars based in China, Saudi Arabia and Hong Kong. Frequent co-authors include Caiping Ren, Weidong Liu, Bin Zhu, Hecheng Zhu, Ji Wang, Hongyi Xing, Quanwei Zhou, Lin Wan, Yan Wu and Ming Zhao. Their work appears in journals such as Frontiers in Genetics, Frontiers in Oncology, Biochemical and Biophysical Research Communications, Frontiers in Immunology and International Journal of Biological Sciences.
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.