Tianyan Gao
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 14
- Cancer, Lipids, and Metabolism 10
- Molecular Biology top 1%
- PI3K/AKT/mTOR signaling in cancer 22
- Ion channel regulation and function 11
- Ubiquitin and proteasome pathways 10
- Protein Tyrosine Phosphatases 10
- Metabolism, Diabetes, and Cancer 7
- Cell Biology top 2%
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- Cancer-related Molecular Pathways 8
- Co-authors
- Alexandra C. NewtonFrank B. FurnariB. Mark EversHeidi L. WeissJohn BrognardMarie Thérèse HoseyJianyu LiuPayton D. Stevens
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (22 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Tianyan Gao
95 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Cancer Research 1.4k
- Molecular Biology 5.4k
- Cell Biology 700
- Cellular and Molecular Neuroscience 709
- Cardiology and Cardiovascular Medicine 797
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
The 25 scholars most cited alongside Tianyan Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 62 | |
| 10 | 2018 | 24 | |
| 11 | 2018 | 58 | |
| 12 | 2018 | 24 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 223 | |
| 15 | 2016 | 22 | |
| 16 | 2009 | 145 | |
| 17 | 2007 | 469 | |
| 18 | 2000 | 92 | |
| 19 | 1998 | 100 | |
| 20 | 1997 | 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), Ion channel regulation and function (11 papers), Ubiquitin and proteasome pathways (10 papers), Cancer, Lipids, and Metabolism (10 papers), Protein Tyrosine Phosphatases (10 papers), Cancer-related Molecular Pathways (8 papers) and Metabolism, Diabetes, and Cancer (7 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.