Jane Yu
Impact in
- Physiology top 1%
- Tuberous Sclerosis Complex Research
- Geriatrics and Gerontology top 2%
Papers in
- Physiology 45
- Tuberous Sclerosis Complex Research 44
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- Renal and related cancers 10
- PI3K/AKT/mTOR signaling in cancer 9
- Co-authors
- Elizabeth P. Henske (26 shared papers)Aristotelis Astrinidis (6 shared papers)Andrey A. Parkhitko (8 shared papers)Tasha Morrison (7 shared papers)Magdalena Karbowniczek (6 shared papers)John Blenis (6 shared papers)Chenggang Li (12 shared papers)Lewis C. Cantley (2 shared papers)
- Journals
- PLoS ONE (5 papers)Proceedings of the National Academy of Sciences (4 papers)American Journal of Respiratory Cell and Molecular Biology (4 papers)Oncotarget (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jane Yu
71 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 128
- Physiology 1.4k
- Geriatrics and Gerontology 142
- Cancer Research 562
- Oncology 709
- Molecular Biology 1.5k
Countries citing papers authored by Jane Yu
This map shows the geographic impact of Jane Yu'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 Jane Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Yu more than expected).
Fields of papers citing papers by Jane Yu
This network shows the impact of papers produced by Jane Yu. 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 Jane Yu. The network helps show where Jane Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 470 | |
| 2 | 2000 | 200 | |
| 3 | 2016 | 183 | |
| 4 | 2014 | 180 | |
| 5 | 2017 | 178 | |
| 6 | 2019 | 156 | |
| 7 | 2011 | 154 | |
| 8 | 2004 | 154 | |
| 9 | 2019 | 145 | |
| 10 | 2009 | 125 | |
| 11 | 2001 | 121 | |
| 12 | 2021 | 109 | |
| 13 | 2017 | 108 | |
| 14 | 2003 | 96 | |
| 15 | 2016 | 85 | |
| 16 | 2016 | 72 | |
| 17 | 2018 | 68 | |
| 18 | 2020 | 62 | |
| 19 | 2001 | 58 | |
| 20 | 2013 | 56 |
About Jane Yu
Jane Yu is a scholar working on Physiology, Molecular Biology, Oncology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 3.8k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (44 papers), Eosinophilic Disorders and Syndromes (11 papers), Renal and related cancers (10 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Vascular Tumors and Angiosarcomas (7 papers), Renal cell carcinoma treatment (6 papers), Corporate Governance and Law (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Physiology (1.4k citations), Geriatrics and Gerontology (142 citations), Cancer Research (562 citations), Oncology (709 citations) and Molecular Biology (1.5k citations). Jane Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Elizabeth P. Henske, Aristotelis Astrinidis, Andrey A. Parkhitko, Tasha Morrison, Magdalena Karbowniczek, John Blenis, Chenggang Li, Lewis C. Cantley, Jamie M. Dempsey and Donna Spiegelman. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, American Journal of Respiratory Cell and Molecular Biology, Oncotarget and Cancer Research.
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.