Min Tang
- Molecular Biology top 5%
- Cancer Research top 1%
- Oncology top 5%
- Immunology top 5%
- Biomedical Engineering top 10%
- Co-authors
- Michael S. RobertsXiaowen LiangRehan M. VillaniMatthew J. SimpsonHaolu WangHaotian YangYong DaiYa Cao
- Topics
- Cancer-related molecular mechanisms research (16 papers)MicroRNA in disease regulation (15 papers)Ferroptosis and cancer prognosis (10 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Min Tang
193 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 2.3k
- Cancer Research 1.1k
- Oncology 610
- Immunology 452
- Biomedical Engineering 293
Countries citing papers authored by Min Tang
This map shows the geographic impact of Min 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 Min Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Tang more than expected).
Fields of papers citing papers by Min Tang
This network shows the impact of papers produced by Min 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 Min Tang. The network helps show where Min Tang may publish in the future.
Co-authorship network of co-authors of Min Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Min Tang. A scholar is included among the top collaborators of Min 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 Min Tang. Min 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 23 | |
| 10 | 1 | |
| 11 | Lung Cancer Cells Derived Circulating miR-21 Promotes Differentiation of Monocytes into Osteoclasts | 1 |
| 12 | Cotyledons: a useful biological material for transient gene expression analysis in rapeseed (Brassica napus L.). | 3 |
| 13 | 16 | |
| 14 | 20 | |
| 15 | 8 | |
| 16 | Research progress in immunotherapy of the triple-negative breast cancer | 1 |
| 17 | 27 | |
| 18 | 93 | |
| 19 | The Field Trial of the 15% Indoxacarb on Controlling Empoasca vitis | 3 |
| 20 | 3 |
About Min Tang
Min Tang is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 206 papers that have together received 4.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers) and Ferroptosis and cancer prognosis (10 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.3k citations) and Biological Psychiatry (69 citations). Min Tang has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Michael S. Roberts, Xiaowen Liang, Rehan M. Villani, Matthew J. Simpson, Haolu Wang, Haotian Yang, Yong Dai, Ya Cao, Yi Huang and Peng Liao. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología 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.