Xiaodan Jiang
Impact in
- Genetics top 0.5%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Co-authors
- Yingqian Cai (30 shared papers)Ke Yan (9 shared papers)柯以铨 (32 shared papers)Ruxiang Xu (28 shared papers)Yi Fan Liu (3 shared papers)Xiangrong Chen (4 shared papers)Bingke Lv (11 shared papers)Feng Li (12 shared papers)
- Journals
- Cellular and Molecular Neurobiology (10 papers)Neurochemical Research (5 papers)Neurological Research (4 papers)Experimental Neurology (3 papers)Cancer Biology & Therapy (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaodan Jiang
153 papers receiving 4.4k citations
Xiaodan Jiang's Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 1.1k
- Developmental Neuroscience 174
- Neurology 283
- Cancer Research 476
- Neurology 422
Countries citing papers authored by Xiaodan Jiang
This map shows the geographic impact of Xiaodan 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 Xiaodan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Jiang more than expected).
Fields of papers citing papers by Xiaodan Jiang
This network shows the impact of papers produced by Xiaodan 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 Xiaodan Jiang. The network helps show where Xiaodan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 341 | |
| 2 | Highly Sensitive and Stretchable MXene/CNTs/TPU Composite Strain Sensor with Bilayer Conductive Structure for Human Motion Detection Hit paper breakdown → | 2022 | 217 |
| 3 | 2010 | 180 | |
| 4 | 2008 | 175 | |
| 5 | 2013 | 157 | |
| 6 | 2021 | 153 | |
| 7 | 2014 | 99 | |
| 8 | 2017 | 94 | |
| 9 | 2024 | 94 | |
| 10 | 2018 | 88 | |
| 11 | 2008 | 85 | |
| 12 | 2013 | 85 | |
| 13 | 2013 | 69 | |
| 14 | 2015 | 69 | |
| 15 | 2012 | 68 | |
| 16 | 2022 | 65 | |
| 17 | 2014 | 64 | |
| 18 | 2011 | 62 | |
| 19 | 2008 | 61 | |
| 20 | 2012 | 60 |
About Xiaodan Jiang
Xiaodan Jiang is a scholar working on Genetics, Neurology, Developmental Neuroscience, Cancer Research and Immunology, having authored 157 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (30 papers), Glioma Diagnosis and Treatment (12 papers), Spinal Cord Injury Research (10 papers), Neurogenesis and neuroplasticity mechanisms (10 papers), Pluripotent Stem Cells Research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), NF-κB Signaling Pathways (6 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Genetics (1.1k citations), Developmental Neuroscience (174 citations), Neurology (283 citations), Cancer Research (476 citations) and Neurology (422 citations). Xiaodan Jiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yingqian Cai, Ke Yan, 柯以铨, Ruxiang Xu, Yi Fan Liu, Xiangrong Chen, Bingke Lv, Feng Li, Fanfan Chen and Chengmei Sun. Their work appears in journals such as Cellular and Molecular Neurobiology, Neurochemical Research, Neurological Research, Experimental Neurology and Cancer Biology & Therapy.
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.