Tao Han
- Molecular Biology top 2%
- Cancer Research top 1%
- Immunology top 2%
- Oncology top 5%
- Epidemiology top 5%
- Co-authors
- Xiaoming ZhuChristoph BauschCraig S. RichmondTyrrell ConwayFrederick R. BlattnerYuanqing YaoGuowu YinJin Ding
- Topics
- MicroRNA in disease regulation (31 papers)Cancer-related molecular mechanisms research (27 papers)Circular RNAs in diseases (18 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Tao Han
190 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 2.8k
- Cancer Research 1.4k
- Immunology 1.1k
- Oncology 692
- Epidemiology 544
Countries citing papers authored by Tao Han
This map shows the geographic impact of Tao Han'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 Tao Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Han more than expected).
Fields of papers citing papers by Tao Han
This network shows the impact of papers produced by Tao Han. 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 Tao Han. The network helps show where Tao Han may publish in the future.
Co-authorship network of co-authors of Tao Han
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Han. A scholar is included among the top collaborators of Tao Han 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 Tao Han. Tao Han 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 | 0 | |
| 5 | 21 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 30 | |
| 11 | 10 | |
| 12 | Yes-Associated Protein Contributes to Cell Proliferation and Migration of Gastric Cancer via Activation of Gli1 | 1 |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 33 | |
| 16 | 2 | |
| 17 | Drought index contrast and climate analysis of five typical stations in Hexi Corridor region | 1 |
| 18 | Comparative Analysis of the Normal Transformation Methods about Annual Precipitation | 1 |
| 19 | Estimation of Drought Monitoring Ability of FY-3A MERSI Data | 1 |
| 20 | Neuraminidase alteration of human lymphocyte reactivity to mitogens, antigens and allogenic lymphocytes. | 1 |
About Tao Han
Tao Han is a scholar working on Cancer Research, Hepatology and Immunology, having authored 208 papers that have together received 5.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (31 papers), Cancer-related molecular mechanisms research (27 papers) and Circular RNAs in diseases (18 papers). The work is most often cited by research in Cancer Research (1.4k citations), Obstetrics and Gynecology (497 citations) and Immunology (1.1k citations). Tao Han has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoming Zhu, Christoph Bausch, Craig S. Richmond, Tyrrell Conway, Frederick R. Blattner, Yuanqing Yao, Guowu Yin, Jin Ding, Hongyang Wang and Ian L. Sargent. Their work appears in journals such as New England Journal of Medicine, Advanced Materials and Journal of Biological Chemistry.
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.