Wendy Wu

9.2k total citations
23 papers, 329 citations indexed

About

Wendy Wu is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, Wendy Wu has authored 23 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Wendy Wu's work include Global Cancer Incidence and Screening (6 papers), Glioma Diagnosis and Treatment (5 papers) and Colorectal Cancer Screening and Detection (5 papers). Wendy Wu is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Glioma Diagnosis and Treatment (5 papers) and Colorectal Cancer Screening and Detection (5 papers). Wendy Wu collaborates with scholars based in Sweden, United States and Taiwan. Wendy Wu's co-authors include Sam Li‐Sheng Chen, Chien‐Jen Chen, Jean Ching‐Yuan Fann, Làszló Tabár, Stephen W. Duffy, Sherry Yueh‐Hsia Chiu, Robert A. Smith, Amy Ming‐Fang Yen, Kerri Beckmann and Peter B. Dean and has published in prestigious journals such as Blood, Cancer and Scientific Reports.

In The Last Decade

Wendy Wu

20 papers receiving 321 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wendy Wu 194 84 52 48 42 23 329
Kim Porter 106 0.5× 44 0.5× 26 0.5× 83 1.7× 26 0.6× 4 364
Val Thomas 68 0.4× 54 0.6× 46 0.9× 30 0.6× 68 1.6× 12 249
Romana Idress 99 0.5× 89 1.1× 28 0.5× 41 0.9× 67 1.6× 26 236
Steven W. Mes 71 0.4× 54 0.6× 22 0.4× 57 1.2× 23 0.5× 17 306
Yiqun Jiang 97 0.5× 43 0.5× 42 0.8× 14 0.3× 21 0.5× 38 290
Olof Eriksson 251 1.3× 75 0.9× 25 0.5× 49 1.0× 39 0.9× 9 331
Katalin Ormándi 123 0.6× 153 1.8× 17 0.3× 39 0.8× 118 2.8× 26 262
Yujie Tan 81 0.4× 115 1.4× 23 0.4× 62 1.3× 11 0.3× 38 335
Soohyun Hwang 78 0.4× 21 0.3× 34 0.7× 83 1.7× 13 0.3× 32 223
D Ryan 160 0.8× 125 1.5× 28 0.5× 42 0.9× 84 2.0× 13 294

Countries citing papers authored by Wendy Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wendy Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wendy Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wendy Wu. A scholar is included among the top collaborators of Wendy 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 Wendy Wu. Wendy 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.
Colonna, Anna, et al.. (2025). AWAKE BRUXISM PREVALENCE ACROSS POPULATIONS: A SYSTEMATIC REVIEW AND META-ANALYSIS. Journal of Evidence Based Dental Practice. 25(3). 102171–102171. 3 indexed citations
2.
Häggman‐Henrikson, Birgitta, et al.. (2025). Prevalence of Temporomandibular Disorder Symptoms After Whiplash Trauma—A Systematic Review and Meta‐Analysis. European Journal of Pain. 29(3). e4792–e4792. 1 indexed citations
3.
Papazian, Stefano, et al.. (2024). Chemical exposomics in biobanked plasma samples and associations with breast cancer risk factors. Journal of Exposure Science & Environmental Epidemiology. 35(4). 567–577.
4.
Sonveaux, Pierre, Kim De Keersmaecker, Barbara Dewaele, et al.. (2024). Sertraline/chloroquine combination therapy to target hypoxic and immunosuppressive serine/glycine synthesis-dependent glioblastomas. Oncogenesis. 13(1). 39–39. 4 indexed citations
5.
Hellquist, Barbro Numan, Maria Sandström, Wendy Wu, et al.. (2024). Antidepressant drugs and risk of developing glioma: a national registry-based case-control study and a meta-analysis. American Journal of Epidemiology. 193(11). 1592–1599.
6.
Jiang, Tao, Qing Zhou, Xuchao Zhang, et al.. (2024). Tumor immune microenvironment of NSCLC with EGFR exon 20 insertions may predict efficacy of first-line ICI-combined regimen. Lung Cancer. 195. 107933–107933. 4 indexed citations
7.
Wibom, Carl, Esmeralda Krop, Hilde Langseth, et al.. (2024). Decline in TGF-α Levels As a Predictor of Multiple Myeloma Progression: A Prospective Longitudinal Study Using the Janus Serum Bank. Blood. 144(Supplement 1). 6809–6809. 1 indexed citations
8.
Tabár, Làszló, Peter B. Dean, F. Lee Tucker, et al.. (2023). Multifocal and diffusely infiltrating breast cancers are highly fatal subgroups needing further improvement in diagnostic and therapeutic strategies. European Journal of Radiology. 164. 110854–110854. 2 indexed citations
9.
Tabár, Làszló, Peter B. Dean, F. Lee Tucker, et al.. (2023). Imaging biomarkers are underutilised but highly predictive prognostic factors for the more fatal breast cancer subtypes. European Journal of Radiology. 166. 111021–111021.
10.
Dahlin, Anna M., Ulrika Andersson, Benny Björkblom, et al.. (2023). Low-grade glioma risk SNP rs11706832 is associated with type I interferon response pathway genes in cell lines. Scientific Reports. 13(1). 6777–6777. 2 indexed citations
11.
Wu, Wendy, et al.. (2021). Intraindividual Long-term Immune Marker Stability in Plasma Samples Collected in Median 9.4 Years Apart in 304 Adult Cancer-free Individuals. Cancer Epidemiology Biomarkers & Prevention. 30(11). 2052–2058. 2 indexed citations
12.
Chuang, Shu-Lin, Chen-Yang Hsu, Amy Ming‐Fang Yen, et al.. (2020). Precision Science on Incidence and Progression of Early-Detected Small Breast Invasive Cancers by Mammographic Features. Cancers. 12(7). 1855–1855. 3 indexed citations
13.
Sjöberg, Rickard L., et al.. (2019). Role of monoamine-oxidase-A-gene variation in the development of glioblastoma in males: a case control study. Journal of Neuro-Oncology. 145(2). 287–294. 12 indexed citations
14.
Wu, Wendy, Làszló Tabár, Tibor Tot, et al.. (2019). Imaging Biomarkers as Predictors for Breast Cancer Death. Journal of Oncology. 2019. 1–12. 14 indexed citations
15.
Wu, Wendy, Gunnar Johansson, Carl Wibom, et al.. (2019). The Genetic Architecture of Gliomagenesis–Genetic Risk Variants Linked to Specific Molecular Subtypes. Cancers. 11(12). 2001–2001. 10 indexed citations
16.
17.
Tabár, Làszló, Peter B. Dean, Chien‐Jen Chen, et al.. (2018). The incidence of fatal breast cancer measures the increased effectiveness of therapy in women participating in mammography screening. Cancer. 125(4). 515–523. 157 indexed citations
18.
Wu, Wendy, Lennarth Nyström, & Håkan Jönsson. (2017). Estimation of overdiagnosis in breast cancer screening using a non-homogeneous multi-state model: A simulation study. Journal of Medical Screening. 25(4). 183–190. 6 indexed citations
19.
Yen, Amy Ming‐Fang, Sherry Yueh‐Hsia Chiu, Jean Ching‐Yuan Fann, et al.. (2015). A prediction model for periodontal disease: modelling and validation from a National Survey of 4061 Taiwanese adults. Journal Of Clinical Periodontology. 42(5). 413–421. 32 indexed citations
20.
Duffy, Stephen W., Chien‐Jen Chen, Sam Li‐Sheng Chen, et al.. (2012). Long‐term incidence of breast cancer by trial arm in one county of the Swedish Two‐County Trial of mammographic screening. Cancer. 118(23). 5728–5732. 33 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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