Tianyan Gao
- Molecular Biology top 1%
- Cancer Research top 1%
- Oncology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Alexandra C. NewtonFrank B. FurnariB. Mark EversHeidi L. WeissJohn BrognardMarie Thérèse HoseyJianyu LiuPayton D. Stevens
- Topics
- PI3K/AKT/mTOR signaling in cancer (22 papers)Cancer, Hypoxia, and Metabolism (14 papers)Ion channel regulation and function (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaCanada
In The Last Decade
Tianyan Gao
95 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 5.4k
- Cancer Research 1.4k
- Oncology 887
- Cardiology and Cardiovascular Medicine 797
- Cellular and Molecular Neuroscience 709
Countries citing papers authored by Tianyan Gao
This map shows the geographic impact of Tianyan Gao'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 Tianyan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyan Gao more than expected).
Fields of papers citing papers by Tianyan Gao
This network shows the impact of papers produced by Tianyan Gao. 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 Tianyan Gao. The network helps show where Tianyan Gao may publish in the future.
Co-authorship network of co-authors of Tianyan Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Tianyan Gao. A scholar is included among the top collaborators of Tianyan Gao 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 Tianyan Gao. Tianyan Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 21 | |
| 9 | 62 | |
| 10 | 24 | |
| 11 | 58 | |
| 12 | 24 | |
| 13 | 15 | |
| 14 | 223 | |
| 15 | 22 | |
| 16 | 145 | |
| 17 | 469 | |
| 18 | 92 | |
| 19 | 100 | |
| 20 | 422 |
About Tianyan Gao
Tianyan Gao is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience, having authored 99 papers that have together received 7.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (22 papers), Cancer, Hypoxia, and Metabolism (14 papers) and Ion channel regulation and function (11 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (5.4k citations) and Cell Biology (700 citations). Tianyan Gao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Alexandra C. Newton, Frank B. Furnari, B. Mark Evers, Heidi L. Weiss, John Brognard, Marie Thérèse Hosey, Jianyu Liu, Payton D. Stevens, Emma Sierecki and Brian L. Gerhardstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.