Jinxiang Wang
- Co-authors
- Lixin ZhangMin HuangSteven M. DubinettSherven SharmaPeter LeeKoichi UyemuraJ.T. MaoHildegard Meissner
- Topics
- Mesenchymal stem cell research (7 papers)Cancer, Hypoxia, and Metabolism (7 papers)Tissue Engineering and Regenerative Medicine (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyPLoS ONE
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jinxiang Wang
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 519
- Oncology 218
- Immunology 213
- Plant Science 188
- Cancer Research 146
Countries citing papers authored by Jinxiang Wang
This map shows the geographic impact of Jinxiang Wang'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 Jinxiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinxiang Wang more than expected).
Fields of papers citing papers by Jinxiang Wang
This network shows the impact of papers produced by Jinxiang Wang. 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 Jinxiang Wang. The network helps show where Jinxiang Wang may publish in the future.
Co-authorship network of co-authors of Jinxiang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Jinxiang Wang. A scholar is included among the top collaborators of Jinxiang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinxiang Wang. Jinxiang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | Hypoxic Non-Small-Cell Lung Cancer Cell-Secreted Exosomal microRNA-582-3p Drives Cancer Cell Malignant Phenotypes by Targeting Secreted Frizzled-Related Protein 1 | 1 |
| 12 | Safety and Efficacy of Chemotherapy Combined with Anlotinib Plus Anlotinib Maintenance in Chinese Patients with Advanced/Metastatic Soft Tissue Sarcoma | 1 |
| 13 | Long Non-Coding RNAs in Brown Adipose Tissue | 1 |
| 14 | 15 | |
| 15 | 4 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 102 | |
| 20 | 138 |
About Jinxiang Wang
Jinxiang Wang is a scholar working on Genetics, Cancer Research and Biochemistry, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Immunology (213 citations), Cancer Research (146 citations) and Environmental Chemistry (87 citations). Jinxiang Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lixin Zhang, Min Huang, Steven M. Dubinett, Sherven Sharma, Peter Lee, Koichi Uyemura, J.T. Mao, Hildegard Meissner, Jerome S. Wollman and Robert L. Modlin. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.
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.