Peggy P. Hsu
- Molecular Biology top 1%
- Cancer Research top 1%
- Oncology top 5%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- David M. SabatiniShomit SenguptaSiraj M. AliDos D. SarbassovAndrew L. MarkhardKathleen OttinaSeong A. KangMichael B. Yaffe
- Topics
- Endoplasmic Reticulum Stress and Disease (3 papers)Biochemical and Molecular Research (3 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Peggy P. Hsu
17 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.2k
- Cancer Research 1.5k
- Oncology 758
- Immunology 569
- Pulmonary and Respiratory Medicine 526
Countries citing papers authored by Peggy P. Hsu
This map shows the geographic impact of Peggy P. Hsu'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 Peggy P. Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peggy P. Hsu more than expected).
Fields of papers citing papers by Peggy P. Hsu
This network shows the impact of papers produced by Peggy P. Hsu. 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 Peggy P. Hsu. The network helps show where Peggy P. Hsu may publish in the future.
Co-authorship network of co-authors of Peggy P. Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Peggy P. Hsu. A scholar is included among the top collaborators of Peggy P. Hsu 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 Peggy P. Hsu. Peggy P. Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 12 | |
| 4 | 79 | |
| 5 | 94 | |
| 6 | 42 | |
| 7 | 103 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 215 | |
| 11 | 26 | |
| 12 | The mTOR-Regulated Phosphoproteome Reveals a Mechanism of mTORC1-Mediated Inhibition of Growth Factor Signalingbreakdown → | 840 |
| 13 | 55 | |
| 14 | Nucleocytoplasmic Shuttling of the Golgi Phosphatidylinositol 4-Kinase Pik1 Is Regulated by 14-3-3 Proteins and Coordinates Golgi Function with Cell Growth | 37 |
| 15 | Cancer Cell Metabolism: Warburg and Beyondbreakdown → | 1935 |
| 16 | Prolonged Rapamycin Treatment Inhibits mTORC2 Assembly and Akt/PKBbreakdown → | 2140 |
| 17 | 117 | |
| 18 | 2 | |
| 19 | 11 |
About Peggy P. Hsu
Peggy P. Hsu is a scholar working on Molecular Biology, Cancer Research and Cell Biology, having authored 19 papers that have together received 5.7k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Biochemical and Molecular Research (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cancer Research (1.5k citations), Aging (138 citations) and Molecular Biology (4.2k citations). Peggy P. Hsu has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include David M. Sabatini, Shomit Sengupta, Siraj M. Ali, Dos D. Sarbassov, Andrew L. Markhard, Kathleen Ottina, Seong A. Kang, Michael B. Yaffe, Yi Zhang and Jonathan Rameseder. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.