Gao Tu
- Molecular Biology
- Computational Theory and Mathematics top 1%
- Pharmacology top 5%
- Pharmacology top 10%
- Oncology
- Topics
- Computational Drug Discovery Methods (11 papers)Receptor Mechanisms and Signaling (5 papers)Protein Structure and Dynamics (4 papers)
- Journals
- Nucleic Acids ResearchInternational Journal of Molecular SciencesPhysical Chemistry Chemical Physics
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Gao Tu
22 papers receiving 989 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 684
- Computational Theory and Mathematics 381
- Pharmacology 115
- Pharmacology 95
- Oncology 86
Countries citing papers authored by Gao Tu
This map shows the geographic impact of Gao Tu'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 Gao Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao Tu more than expected).
Fields of papers citing papers by Gao Tu
This network shows the impact of papers produced by Gao Tu. 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 Gao Tu. The network helps show where Gao Tu may publish in the future.
Co-authorship network of co-authors of Gao Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Gao Tu. A scholar is included among the top collaborators of Gao Tu 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 Gao Tu. Gao Tu 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 | 2 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 14 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 21 | |
| 14 | 29 | |
| 15 | 101 | |
| 16 | 133 | |
| 17 | 19 | |
| 18 | 107 | |
| 19 | 38 | |
| 20 | Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeuticsbreakdown → | 418 |
About Gao Tu
Gao Tu is a scholar working on Computational Theory and Mathematics, Virology and Biological Psychiatry, having authored 23 papers that have together received 997 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Receptor Mechanisms and Signaling (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Computational Theory and Mathematics (381 citations), Pharmacology (115 citations) and Molecular Biology (684 citations). Gao Tu has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Feng Zhu, Weiwei Xue, Yu Chen, Fengyuan Yang, Xiaojun Yao, Guoxun Zheng, Qingxia Yang, Xuejiao Cui, Jing Tang and Xiaofeng Li. Their work appears in journals such as Nucleic Acids Research, International Journal of Molecular Sciences and Physical Chemistry Chemical Physics.
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.