Pamela Wu

768 total citations
4 papers, 448 citations indexed

About

Pamela Wu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Pamela Wu has authored 4 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Pamela Wu's work include RNA modifications and cancer (1 paper), Cancer Genomics and Diagnostics (1 paper) and Retinal Diseases and Treatments (1 paper). Pamela Wu is often cited by papers focused on RNA modifications and cancer (1 paper), Cancer Genomics and Diagnostics (1 paper) and Retinal Diseases and Treatments (1 paper). Pamela Wu collaborates with scholars based in United States, Singapore and Brazil. Pamela Wu's co-authors include Eva Hernando, David Fenyö, Ino de Bruijn, James Muller, Lizabeth Katsnelson, Jianjiong Gao, Adam Abeshouse, Zachary Heins, Nikolaus Schultz and Verónica Dávalos and has published in prestigious journals such as Molecular Cell, Cancer Cell and American Journal Of Pathology.

In The Last Decade

Pamela Wu

4 papers receiving 446 citations

Peers

Pamela Wu
Mike Randonovich United States
Eejung Kim United States
Singer Ma United States
Judith C. Sporn United States
Janét Pittsenbarger United States
Pamela Wu
Citations per year, relative to Pamela Wu Pamela Wu (= 1×) peers Yaoyun Tang

Countries citing papers authored by Pamela Wu

Since Specialization
Citations

This map shows the geographic impact of Pamela 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 Pamela Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pamela Wu more than expected).

Fields of papers citing papers by Pamela Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela 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 Pamela Wu. The network helps show where Pamela Wu may publish in the future.

Co-authorship network of co-authors of Pamela Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Wu. A scholar is included among the top collaborators of Pamela Wu 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 Pamela Wu. Pamela Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Hanniford, Douglas, Alcida Karz, Maria Gabriela Berzoti-Coelho, et al.. (2020). Epigenetic Silencing of CDR1as Drives IGF2BP3-Mediated Melanoma Invasion and Metastasis. Cancer Cell. 37(1). 55–70.e15. 237 indexed citations
2.
Wu, Pamela, Zachary Heins, James Muller, et al.. (2019). Integration and Analysis of CPTAC Proteomics Data in the Context of Cancer Genomics in the cBioPortal. Molecular & Cellular Proteomics. 18(9). 1893–1898. 121 indexed citations
3.
Snuderl, Matija, Guoan Zhang, Pamela Wu, et al.. (2017). Endothelium-Independent Primitive Myxoid Vascularization Creates Invertebrate-Like Channels to Maintain Blood Supply in Optic Gliomas. American Journal Of Pathology. 187(8). 1867–1878. 4 indexed citations
4.
Fontanals-Cirera, Bárbara, Dan Hasson, Chiara Vardabasso, et al.. (2017). Harnessing BET Inhibitor Sensitivity Reveals AMIGO2 as a Melanoma Survival Gene. Molecular Cell. 68(4). 731–744.e9. 86 indexed citations

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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