Grace Wu

444 total citations
12 papers, 233 citations indexed

About

Grace Wu is a scholar working on Surgery, Oncology and Biomedical Engineering. According to data from OpenAlex, Grace Wu has authored 12 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Oncology and 5 papers in Biomedical Engineering. Recurrent topics in Grace Wu's work include Lymphatic System and Diseases (4 papers), Cancer Research and Treatments (3 papers) and Body Contouring and Surgery (3 papers). Grace Wu is often cited by papers focused on Lymphatic System and Diseases (4 papers), Cancer Research and Treatments (3 papers) and Body Contouring and Surgery (3 papers). Grace Wu collaborates with scholars based in United States. Grace Wu's co-authors include Eva M. Sevick‐Muraca, Sunkuk Kwon, Germaine D. Agollah, Johannes Jacobi, John P. Cooke, Calvin J. Kuo, Betty Y. Tam, Nathaniel Wilganowski, Banghe Zhu and Holly Robinson and has published in prestigious journals such as Circulation, Blood and PLoS ONE.

In The Last Decade

Grace Wu

12 papers receiving 232 citations

Peers

Grace Wu
Allison Banuelos United States
Johnathan Ebben United States
Cegui Hu China
Jianguo Tao United States
Jennifer R. Yoon United States
Ramon M. Cabrera United States
Grace Wu
Citations per year, relative to Grace Wu Grace Wu (= 1×) peers Elizabeth C. Halvorsen

Countries citing papers authored by Grace Wu

Since Specialization
Citations

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

Fields of papers citing papers by Grace Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Wu

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

All Works

12 of 12 papers shown
1.
Zhu, Banghe, Holly Robinson, Songlin Zhang, Grace Wu, & Eva M. Sevick‐Muraca. (2015). Longitudinal far red gene-reporter imaging of cancer metastasis in preclinical models: a tool for accelerating drug discovery. Biomedical Optics Express. 6(9). 3346–3346. 8 indexed citations
2.
Kwon, Sunkuk, Germaine D. Agollah, Grace Wu, & Eva M. Sevick‐Muraca. (2015). Abstract P5-01-04: In vivo lymphatic imaging of a human inflammatory breast cancer model. Cancer Research. 75(9_Supplement). P5–1. 1 indexed citations
3.
Wu, Grace, et al.. (2014). The Use and Evaluation of an Inexpensive Eye Model in Direct Ophthalmoscopy Training. 7(1). e021–e025. 4 indexed citations
4.
Kwon, Sunkuk, Germaine D. Agollah, Grace Wu, & Eva M. Sevick‐Muraca. (2014). Spatio-Temporal Changes of Lymphatic Contractility and Drainage Patterns following Lymphadenectomy in Mice. PLoS ONE. 9(8). e106034–e106034. 29 indexed citations
5.
Agollah, Germaine D., Grace Wu, Eva M. Sevick‐Muraca, & Sunkuk Kwon. (2014). In Vivo Lymphatic Imaging of a Human Inflammatory Breast Cancer Model. Journal of Cancer. 5(9). 774–783. 21 indexed citations
6.
Zhu, Banghe, Grace Wu, Holly Robinson, et al.. (2013). Tumor Margin Detection Using Quantitative NIRF Molecular Imaging Targeting EpCAM Validated by Far Red Gene Reporter iRFP. Molecular Imaging and Biology. 15(5). 560–568. 31 indexed citations
7.
Lu, Yujie, Chinmay Darne, I‐Chih Tan, et al.. (2013). In vivoimaging of orthotopic prostate cancer with far-red gene reporter fluorescence tomography andin vivoandex vivovalidation. Journal of Biomedical Optics. 18(10). 101305–101305. 18 indexed citations
8.
Kwon, Sunkuk, Germaine D. Agollah, Grace Wu, Wenyaw Chan, & Eva M. Sevick‐Muraca. (2013). Direct visualization of changes of lymphatic function and drainage pathways in lymph node metastasis of B16F10 melanoma using near-infrared fluorescence imaging. Biomedical Optics Express. 4(6). 967–967. 20 indexed citations
9.
Zhu, Banghe, Grace Wu, Holly Robinson, Nathaniel Wilganowski, & Eva M. Sevick‐Muraca. (2013). Non-invasive imaging of prostate cancer progression in nude mice using iRFP gene reporter. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8565. 85651E–85651E. 1 indexed citations
10.
Davies-Venn, Cynthia, Nathaniel Wilganowski, Pradip Ghosh, et al.. (2011). Albumin-Binding Domain Conjugate for Near-Infrared Fluorescence Lymphatic Imaging. Molecular Imaging and Biology. 14(3). 301–314. 30 indexed citations
11.
Tam, Betty Y., Sang-ki Park, Jeng-Shin Lee, et al.. (2004). Hypoxia-Independent Regulation of Hepatic Erythropoietin Production by Vascular Endothelial Growth Factor.. Blood. 104(11). 2163–2163. 1 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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