W. H. Tian
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 5%
- Oncology top 10%
- Immunology
- Co-authors
- Yuhui TangJindong XieYutian ZouXiaoming XieXinpei DengShaoquan ZhengLinyu WuChau‐Wei Wong
- Topics
- RNA modifications and cancer (9 papers)Ferroptosis and cancer prognosis (7 papers)Cancer Immunotherapy and Biomarkers (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
W. H. Tian
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 666
- Pulmonary and Respiratory Medicine 421
- Cancer Research 415
- Oncology 360
- Immunology 194
Countries citing papers authored by W. H. Tian
This map shows the geographic impact of W. H. Tian'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 W. H. Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. H. Tian more than expected).
Fields of papers citing papers by W. H. Tian
This network shows the impact of papers produced by W. H. Tian. 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 W. H. Tian. The network helps show where W. H. Tian may publish in the future.
Co-authorship network of co-authors of W. H. Tian
This figure shows the co-authorship network connecting the top 25 collaborators of W. H. Tian. A scholar is included among the top collaborators of W. H. Tian 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 W. H. Tian. W. H. Tian 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 | 25 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 63 | |
| 10 | 20 | |
| 11 | 42 | |
| 12 | The Single‐Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancerbreakdown → | 191 |
| 13 | N6-methyladenosine regulated FGFR4 attenuates ferroptotic cell death in recalcitrant HER2-positive breast cancerbreakdown → | 167 |
| 14 | 15 | |
| 15 | Leveraging diverse cell-death patterns to predict the prognosis and drug sensitivity of triple-negative breast cancer patients after surgerybreakdown → | 248 |
| 16 | 62 | |
| 17 | 35 | |
| 18 | 7 | |
| 19 | 5 | |
| 20 | 13 |
About W. H. Tian
W. H. Tian is a scholar working on Aging, Biochemistry and Cancer Research, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Ferroptosis and cancer prognosis (7 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Cancer Research (415 citations), Oncology (360 citations) and Pulmonary and Respiratory Medicine (421 citations). W. H. Tian has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuhui Tang, Jindong Xie, Yutian Zou, Xiaoming Xie, Xinpei Deng, Shaoquan Zheng, Linyu Wu, Chau‐Wei Wong, Hailin Tang and Xinhua Xie. Their work appears in journals such as Nature Communications, Food Chemistry and International Journal of Molecular Sciences.
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.