Xiaojiao Ge
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Nanoplatforms for cancer theranostics 4
-
- Advanced Nanomaterials in Catalysis 2
- Co-authors
- Feng Zeng (2 shared papers)Cong Li (2 shared papers)Qinghua Guo (2 shared papers)Xiaobing Lou (2 shared papers)Nicholas J. Long (2 shared papers)Xiu-Jun Zhang (4 shared papers)Zhonglian Cao (2 shared papers)Bingwen Hu (2 shared papers)
- Journals
- Modern Rheumatology (2 papers)Chinese Chemical Letters (2 papers)Advanced Science (1 paper)Angewandte Chemie International Edition (1 paper)Advanced Healthcare Materials (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Xiaojiao Ge
10 papers receiving 372 citations
Peers
Comparison fields: 5 of 80
- Neuropsychology and Physiological Psychology 14
- Neurology 62
- Health 52
- Leadership and Management 3
- Materials Chemistry 117
Countries citing papers authored by Xiaojiao Ge
This map shows the geographic impact of Xiaojiao Ge'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 Xiaojiao Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojiao Ge more than expected).
Fields of papers citing papers by Xiaojiao Ge
This network shows the impact of papers produced by Xiaojiao Ge. 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 Xiaojiao Ge. The network helps show where Xiaojiao Ge may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojiao Ge, 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 | 2018 | 177 | |
| 2 | 2011 | 94 | |
| 3 | 2018 | 23 | |
| 4 | 2012 | 19 | |
| 5 | 2013 | 19 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 11 | |
| 9 | [Study on the correlation between induced abortion and reproductive tract infections]. | 2011 | 2 |
| 10 | 2023 | 2 |
About Xiaojiao Ge
Xiaojiao Ge is a scholar working on Biomedical Engineering, Materials Chemistry, Cellular and Molecular Neuroscience, Rheumatology and Hematology, having authored 10 papers that have together received 376 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (4 papers), Advanced Nanomaterials in Catalysis (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuropeptides and Animal Physiology (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Metal-Organic Frameworks: Synthesis and Applications (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (14 citations), Neurology (62 citations), Health (52 citations), Leadership and Management (3 citations) and Materials Chemistry (117 citations). Xiaojiao Ge has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Feng Zeng, Cong Li, Qinghua Guo, Xiaobing Lou, Nicholas J. Long, Xiu-Jun Zhang, Zhonglian Cao, Bingwen Hu, Yingwei Wu and Xinwei Li. Their work appears in journals such as Modern Rheumatology, Chinese Chemical Letters, Advanced Science, Angewandte Chemie International Edition and Advanced Healthcare Materials.
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.