Mary Wu
Impact in
- Aging top 5%
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
- Aging 1
-
- SARS-CoV-2 and COVID-19 Research 8
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Caroline S. HillSally J. LeeversMegan CullyCláudio R. SantosYuen‐Li ChungJohn R. GriffithsAlmut SchulzeB Griffiths
- Journals
- Biochemical Journal (5 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Eukaryotic Cell (2 papers)Cell Metabolism (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Mary Wu
25 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 72
- Cancer Research 465
- Cell Biology 410
- Molecular Biology 1.7k
- Endocrinology 121
Countries citing papers authored by Mary Wu
This map shows the geographic impact of Mary Wu'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 Mary Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Wu more than expected).
Fields of papers citing papers by Mary Wu
This network shows the impact of papers produced by Mary Wu. 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 Mary Wu. The network helps show where Mary Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary Wu, 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 | 2024 | 13 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 74 | |
| 5 | 2021 | 50 | |
| 6 | 2021 | 42 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 29 | |
| 11 | 2011 | 36 | |
| 12 | TGF-β Superfamily Signaling in Embryonic Development and Homeostasis Hit paper breakdown → | 2009 | 593 |
| 13 | SREBP Activity Is Regulated by mTORC1 and Contributes to Akt-Dependent Cell Growth Hit paper breakdown → | 2008 | 1101 |
| 14 | 2006 | 35 | |
| 15 | 2006 | 42 | |
| 16 | 2004 | 118 | |
| 17 | 2003 | 180 | |
| 18 | 2003 | 9 | |
| 19 | 2003 | 101 | |
| 20 | 2002 | 73 |
About Mary Wu
Mary Wu is a scholar working on Aging, Infectious Diseases, Endocrinology, Cell Biology and Modeling and Simulation, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Autophagy in Disease and Therapy (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (3 papers), Influenza Virus Research Studies (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Aging (72 citations), Cancer Research (465 citations), Cell Biology (410 citations), Molecular Biology (1.7k citations) and Endocrinology (121 citations). Mary Wu has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Caroline S. Hill, Sally J. Leevers, Megan Cully, Cláudio R. Santos, Yuen‐Li Chung, John R. Griffiths, Almut Schulze, B Griffiths, Thomas Porstmann and Richard H. Kessin. Their work appears in journals such as Biochemical Journal, Nature Communications, Journal of Biological Chemistry, Eukaryotic Cell and Cell Metabolism.
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.