Mary Wu

6.2k citations
26 papers · 2.8k indexed · 2 hit papers · h-index 18

Impact in

Papers in

Mary Wu

25 papers receiving 2.7k citations

Hit Papers

TGF-β Superfamily Signaling in Embryonic Development and Homeostasis 2009 · 593 citations
59320082026201420202505007501000

Peers

Mary Wu
Comparison fields: 5 of 122
  • Aging 72
  • Cancer Research 465
  • Cell Biology 410
  • Molecular Biology 1.7k
  • Endocrinology 121
Replace Sei Yoshida with:
Sei Yoshida Japan
Guillaume Bossis France
Xiao‐Bo Qiu China
Xiaoying Zhou China
Shih-Feng Tsai Taiwan
Luis del Peso Spain
Alex Lipovsky United States
Michal R. Schweiger Germany
Xue Li China
Hamid Kashkar Germany
Mary Wu relative to Sei Yoshida Japan Sei Yoshida's profile →
Citations per field
00.5×1.5×2.3×
Sei Yoshida · 1×
Citations per year

Countries citing papers authored by Mary Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mary Wu Line = papers co-authored together Mary Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 202413
3 20235
4 202274
5 202150
6 202142
7 202132
8 20218
9 202110
10 202029
11 201136
12
TGF-β Superfamily Signaling in Embryonic Development and Homeostasis
Hit paper breakdown →
2009593
13
SREBP Activity Is Regulated by mTORC1 and Contributes to Akt-Dependent Cell Growth
Hit paper breakdown →
20081101
14 200635
15 200642
16 2004118
17 2003180
18 20039
19 2003101
20 200273

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.

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