Jane Guan
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
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- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
Papers in
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- PI3K/AKT/mTOR signaling in cancer 8
- Protein Degradation and Inhibitors 5
- Ion channel regulation and function 1
- Metabolism, Diabetes, and Cancer 1
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- Advanced Breast Cancer Therapies 9
- Co-authors
- Lori S. Friedman (9 shared papers)Jeffrey J. Wallin (7 shared papers)Marcia Belvin (6 shared papers)Deepak Sampath (5 shared papers)Wei Wei Prior (3 shared papers)Leanne Berry (2 shared papers)Carol O’Brien (2 shared papers)Heidi Savage (2 shared papers)
- Journals
- Cancer Research (9 papers)Clinical Cancer Research (2 papers)Genes & Cancer (1 paper)Science Translational Medicine (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Jane Guan
16 papers receiving 411 citations
Peers
Comparison fields: 5 of 67
- Genetics 82
- Oncology 152
- Molecular Biology 317
- Cancer Research 57
- Pulmonary and Respiratory Medicine 112
Countries citing papers authored by Jane Guan
This map shows the geographic impact of Jane Guan'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 Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Guan more than expected).
Fields of papers citing papers by Jane Guan
This network shows the impact of papers produced by Jane Guan. 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 Guan. The network helps show where Jane Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Guan, 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 | 2010 | 201 | |
| 2 | 2012 | 73 | |
| 3 | 2010 | 46 | |
| 4 | 2012 | 39 | |
| 5 | 2017 | 22 | |
| 6 | 2002 | 20 | |
| 7 | 2016 | 15 | |
| 8 | 2020 | 4 | |
| 9 | 2012 | 4 | |
| 10 | 2010 | 2 | |
| 11 | Abstract #3392: Transient pAkt increase after chemo exposure predicts strength of synergy for combinations of the PI3K inhibitor GDC-0941 and chemotherapeutics | 2009 | 1 |
| 12 | 2018 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2023 | 1 |
About Jane Guan
Jane Guan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Small Animals, having authored 16 papers that have together received 432 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Estrogen and related hormone effects (7 papers), Protein Degradation and Inhibitors (5 papers), Ion channel regulation and function (1 paper), Pain Mechanisms and Treatments (1 paper), Computational Drug Discovery Methods (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Genetics (82 citations), Oncology (152 citations), Molecular Biology (317 citations), Cancer Research (57 citations) and Pulmonary and Respiratory Medicine (112 citations). Jane Guan has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Lori S. Friedman, Jeffrey J. Wallin, Marcia Belvin, Deepak Sampath, Wei Wei Prior, Leanne Berry, Carol O’Brien, Heidi Savage, Debraj GuhaThakurta and Lukas C. Amler. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Genes & Cancer, Science Translational Medicine and Brain 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.