Xin-xing Wan
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Inflammasome and immune disorders 5
- Ubiquitin and proteasome pathways 2
- Genomics, phytochemicals, and oxidative stress 2
- Genetics 7
- Mesenchymal stem cell research 6
- Diabetes and associated disorders 2
- Co-authors
- Zhaohui Mo (8 shared papers)Md. Asaduzzaman Khan (11 shared papers)Hanchun Chen (8 shared papers)Dianzheng Zhang (8 shared papers)Kun Xiong (11 shared papers)Zi Guo (5 shared papers)Ximin Hu (8 shared papers)Qí Zhāng (9 shared papers)
- Journals
- Diabetes Metabolic Syndrome and Obesity (2 papers)BioMed Research International (2 papers)Tumor Biology (2 papers)Computational and Structural Biotechnology Journal (1 paper)Diabetic Medicine (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xin-xing Wan
30 papers receiving 788 citations
Peers
Comparison fields: 5 of 97
- Rehabilitation 115
- Geriatrics and Gerontology 46
- Genetics 85
- Cancer Research 81
- Drug Discovery 1
Countries citing papers authored by Xin-xing Wan
This map shows the geographic impact of Xin-xing Wan'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 Xin-xing Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin-xing Wan more than expected).
Fields of papers citing papers by Xin-xing Wan
This network shows the impact of papers produced by Xin-xing Wan. 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 Xin-xing Wan. The network helps show where Xin-xing Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin-xing Wan, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 107 | |
| 2 | 2017 | 83 | |
| 3 | 2023 | 72 | |
| 4 | 2016 | 50 | |
| 5 | 2020 | 48 | |
| 6 | 2022 | 43 | |
| 7 | 2022 | 42 | |
| 8 | 2024 | 38 | |
| 9 | 2010 | 38 | |
| 10 | 2020 | 32 | |
| 11 | 2023 | 28 | |
| 12 | 2020 | 27 | |
| 13 | 2022 | 23 | |
| 14 | 2013 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2013 | 19 | |
| 17 | 2025 | 17 | |
| 18 | 2014 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2023 | 14 |
About Xin-xing Wan
Xin-xing Wan is a scholar working on Molecular Biology, Genetics, Immunology, Biomaterials and Physiology, having authored 32 papers that have together received 799 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), interferon and immune responses (5 papers), Inflammasome and immune disorders (5 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Ubiquitin and proteasome pathways (2 papers), Diabetes and associated disorders (2 papers), Wound Healing and Treatments (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Rehabilitation (115 citations), Geriatrics and Gerontology (46 citations), Genetics (85 citations), Cancer Research (81 citations) and Drug Discovery (1 citation). Xin-xing Wan has collaborated with scholars based in China and United States. Frequent co-authors include Zhaohui Mo, Md. Asaduzzaman Khan, Hanchun Chen, Dianzheng Zhang, Kun Xiong, Zi Guo, Ximin Hu, Qí Zhāng, Aihua Xu and Fangzhi Chen. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, BioMed Research International, Tumor Biology, Computational and Structural Biotechnology Journal and Diabetic Medicine.
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.