Lily Wu

16.5k total citations · 3 hit papers
222 papers, 13.0k citations indexed

About

Lily Wu is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Lily Wu has authored 222 papers receiving a total of 13.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 67 papers in Genetics and 36 papers in Surgery. Recurrent topics in Lily Wu's work include Virus-based gene therapy research (52 papers), RNA Interference and Gene Delivery (28 papers) and Lipoproteins and Cardiovascular Health (22 papers). Lily Wu is often cited by papers focused on Virus-based gene therapy research (52 papers), RNA Interference and Gene Delivery (28 papers) and Lipoproteins and Cardiovascular Health (22 papers). Lily Wu collaborates with scholars based in United States, China and Taiwan. Lily Wu's co-authors include James T. Wu, Paul N. Hopkins, Steven C. Hunt, Chiuan-Chian Chiou, Pi-Yueh Chang, Arnold Berk, Saul J. Priceman, Sanjiv S. Gambhir, Roger R. Williams and Mai Johnson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Lily Wu

215 papers receiving 12.7k citations

Hit Papers

Urinary 8-OHdG: a marker of oxidative stress to DNA and a... 2003 2026 2010 2018 2003 2010 2013 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lily Wu United States 59 5.6k 2.8k 2.2k 2.1k 1.6k 222 13.0k
Toshio Matsumoto Japan 65 6.2k 1.1× 1.7k 0.6× 4.0k 1.8× 1.1k 0.5× 1.6k 1.0× 399 15.5k
Athanasios G. Papavassiliou Greece 68 8.0k 1.4× 1.6k 0.6× 3.2k 1.4× 1.6k 0.8× 1.6k 1.0× 488 17.5k
Jeremy N. Skepper United Kingdom 76 7.5k 1.4× 1.3k 0.5× 1.5k 0.7× 2.8k 1.3× 2.1k 1.3× 229 21.2k
Rajiv Kumar United States 67 4.5k 0.8× 2.7k 1.0× 2.3k 1.0× 1.3k 0.6× 1.5k 1.0× 380 17.4k
Hidehiko Saito Japan 67 6.9k 1.2× 1.3k 0.5× 2.3k 1.0× 1.9k 0.9× 1.0k 0.6× 484 18.5k
Linda L. Demer United States 65 5.0k 0.9× 2.1k 0.8× 1.7k 0.8× 2.4k 1.1× 3.5k 2.2× 162 17.5k
Hiroshi Inoue Japan 74 10.0k 1.8× 2.7k 1.0× 4.3k 1.9× 2.3k 1.1× 3.3k 2.0× 398 18.9k
Daniel D. Bikle United States 87 7.1k 1.3× 2.8k 1.0× 2.4k 1.1× 1.8k 0.9× 1.5k 1.0× 359 25.0k
Morley D. Hollenberg Canada 78 6.9k 1.2× 1.1k 0.4× 1.7k 0.8× 3.3k 1.6× 2.0k 1.2× 425 20.8k
Søren K. Moestrup Denmark 85 7.7k 1.4× 1.2k 0.4× 1.8k 0.8× 3.9k 1.9× 2.2k 1.4× 246 20.0k

Countries citing papers authored by Lily Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lily Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lily Wu

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

All Works

20 of 20 papers shown
1.
Hu, Junhui, Wei Guan, Libin Yan, et al.. (2019). Cancer Stem Cell Marker Endoglin (CD105) Induces Epithelial Mesenchymal Transition (EMT) but Not Metastasis in Clear Cell Renal Cell Carcinoma. Stem Cells International. 2019. 1–9. 25 indexed citations
2.
Chen, Ke, Haibing Xiao, Jin Zeng, et al.. (2016). Alternative Splicing of EZH2 pre-mRNA by SF3B3 Contributes to the Tumorigenic Potential of Renal Cancer. Clinical Cancer Research. 23(13). 3428–3441. 81 indexed citations
3.
Escamilla, Jemima, Shiruyeh Schokrpur, Saul J. Priceman, et al.. (2015). CSF1 Receptor Targeting in Prostate Cancer Reverses Macrophage-Mediated Resistance to Androgen Blockade Therapy. Cancer Research. 75(6). 950–962. 149 indexed citations
4.
Moughon, Diana, Huanhuan He, Shiruyeh Schokrpur, et al.. (2015). Macrophage Blockade Using CSF1R Inhibitors Reverses the Vascular Leakage Underlying Malignant Ascites in Late-Stage Epithelial Ovarian Cancer. Cancer Research. 75(22). 4742–4752. 97 indexed citations
5.
Mok, Stephen, Richard C. Koya, Christopher Tsui, et al.. (2013). Inhibition of CSF-1 Receptor Improves the Antitumor Efficacy of Adoptive Cell Transfer Immunotherapy. Cancer Research. 74(1). 153–161. 252 indexed citations
6.
Xu, Jingying, Jemima Escamilla, Stephen Mok, et al.. (2013). CSF1R Signaling Blockade Stanches Tumor-Infiltrating Myeloid Cells and Improves the Efficacy of Radiotherapy in Prostate Cancer. Cancer Research. 73(9). 2782–2794. 467 indexed citations breakdown →
7.
Wu, Lily, et al.. (2013). On the significance of aeration in the assessment of erosion of unlined spillways. La Houille Blanche. 99(3). 30–35.
8.
Jiang, Ziyue Karen, Makoto Sato, Wei Liu, Chinghai Kao, & Lily Wu. (2011). Androgen-Independent Molecular Imaging Vectors to Detect Castration-Resistant and Metastatic Prostate Cancer. Cancer Research. 71(19). 6250–6260. 17 indexed citations
9.
Pouliot, Frédéric, Breanne D.W. Karanikolas, Mai Johnson, et al.. (2011). In Vivo Imaging of Intraprostatic-Specific Gene Transcription by PET. Journal of Nuclear Medicine. 52(5). 784–791. 12 indexed citations
10.
Liu, Hongrong, Lei Jin, Ivo Atanasov, et al.. (2010). Atomic Structure of Human Adenovirus by Cryo-EM Reveals Interactions Among Protein Networks. Science. 329(5995). 1038–1043. 281 indexed citations
11.
Kwon, Oh‐Joon, et al.. (2010). A Hypoxia- and α-Fetoprotein–Dependent Oncolytic Adenovirus Exhibits Specific Killing of Hepatocellular Carcinomas. Clinical Cancer Research. 16(24). 6071–6082. 42 indexed citations
12.
Karanikolas, Breanne D.W., Marxa L. Figueiredo, & Lily Wu. (2009). Polycomb Group Protein Enhancer of Zeste 2 Is an Oncogene That Promotes the Neoplastic Transformation of a Benign Prostatic Epithelial Cell Line. Molecular Cancer Research. 7(9). 1456–1465. 54 indexed citations
13.
Burton, Jeremy B., Saul J. Priceman, James L. Sung, et al.. (2008). Suppression of Prostate Cancer Nodal and Systemic Metastasis by Blockade of the Lymphangiogenic Axis. Cancer Research. 68(19). 7828–7837. 131 indexed citations
18.
Björndahl, Meit A., Renhai Cao, Jeremy B. Burton, et al.. (2005). Vascular Endothelial Growth Factor-A Promotes Peritumoral Lymphangiogenesis and Lymphatic Metastasis. Cancer Research. 65(20). 9261–9268. 152 indexed citations
19.
Wu, James T., Ping Zhang, Mark E. Astill, et al.. (1995). Psa immunoreactivity detected in lncap cell medium, breast tumor cytosol, and female serum. Journal of Clinical Laboratory Analysis. 9(4). 243–251. 11 indexed citations
20.
Schumacher, Mary Catherine, Steven C. Hunt, Susan Stephenson, Lily Wu, & Roger R. Williams. (1992). Risk Factors for Cardiovascular Disease Predict the Development of Diabetes among Utah Families. Epidemiology. 3(5). 459–463. 2 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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