Zefang Tang
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 0.5%
- Immunology top 1%
- Topics
- Single-cell and spatial transcriptomics (8 papers)Bioinformatics and Genomic Networks (4 papers)RNA modifications and cancer (4 papers)
- Journals
- NatureScienceNucleic Acids Research
- Partner nations
- ChinaUnited States
In The Last Decade
Zefang Tang
21 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 8.0k
- Cancer Research 4.1k
- Pulmonary and Respiratory Medicine 3.6k
- Oncology 2.8k
- Immunology 1.6k
Countries citing papers authored by Zefang Tang
This map shows the geographic impact of Zefang Tang'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 Zefang Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zefang Tang more than expected).
Fields of papers citing papers by Zefang Tang
This network shows the impact of papers produced by Zefang Tang. 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 Zefang Tang. The network helps show where Zefang Tang may publish in the future.
Co-authorship network of co-authors of Zefang Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Zefang Tang. A scholar is included among the top collaborators of Zefang Tang 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 Zefang Tang. Zefang Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 18 | |
| 7 | 85 | |
| 8 | Spatially resolved single-cell translatomics at molecular resolutionbreakdown → | 103 |
| 9 | Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in a mouse model of Alzheimer’s diseasebreakdown → | 105 |
| 10 | 7 | |
| 11 | GEPIA2021: integrating multiple deconvolution-based analysis into GEPIAbreakdown → | 313 |
| 12 | 133 | |
| 13 | GEPIA2: an enhanced web server for large-scale expression profiling and interactive analysisbreakdown → | 3088 |
| 14 | 38 | |
| 15 | 3 | |
| 16 | 32 | |
| 17 | 64 | |
| 18 | GEPIA: a web server for cancer and normal gene expression profiling and interactive analysesbreakdown → | 7149 |
| 19 | 27 | |
| 20 | 28 |
About Zefang Tang
Zefang Tang is a scholar working on Cancer Research, Molecular Biology and Neurology, having authored 23 papers that have together received 11.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Bioinformatics and Genomic Networks (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (4.1k citations), Molecular Biology (8.0k citations) and Pulmonary and Respiratory Medicine (3.6k citations). Zefang Tang has collaborated with scholars based in China and United States. Frequent co-authors include Chenwei Li, Zemin Zhang, Boxi Kang, Cheng Li, Ge Gao, Tianxiang Chen, Wenjie Zhang, Fenglin Liu, Xiaofeng Zheng and Yonglu Tian. Their work appears in journals such as Nature, Science and Nucleic Acids Research.
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.