Wade Anderson

1.6k total citations
7 papers, 673 citations indexed

About

Wade Anderson is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Wade Anderson has authored 7 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in Wade Anderson's work include Acute Myeloid Leukemia Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). Wade Anderson is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). Wade Anderson collaborates with scholars based in United States. Wade Anderson's co-authors include Amy J. Wagers, Irving L. Weissman, Sylvie Giuriato, Emmanuelle Passegué, Scott J. Dylla, Samuel A. Williams, Michael Boyd, Jorge Aguilar, Edmundo Rubio and Sheila Bheddah and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Wade Anderson

6 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wade Anderson United States 4 299 284 210 188 91 7 673
Natalia Baran United States 15 244 0.8× 380 1.3× 153 0.7× 101 0.5× 204 2.2× 62 679
Sarah Brennan United States 8 308 1.0× 492 1.7× 379 1.8× 136 0.7× 91 1.0× 12 801
Cyril Šálek Czechia 14 201 0.7× 243 0.9× 275 1.3× 311 1.7× 74 0.8× 47 728
Annette Orleth Italy 10 403 1.3× 620 2.2× 196 0.9× 81 0.4× 82 0.9× 14 843
Jorge DiMartino United States 14 588 2.0× 829 2.9× 217 1.0× 117 0.6× 88 1.0× 42 1.2k
Michael A. Damore United States 16 131 0.4× 302 1.1× 276 1.3× 284 1.5× 48 0.5× 30 775
Caner Saygin United States 10 156 0.5× 426 1.5× 337 1.6× 79 0.4× 181 2.0× 27 767
Yvette van Hensbergen Netherlands 12 132 0.4× 301 1.1× 348 1.7× 129 0.7× 155 1.7× 22 666
Ernesto Díaz-Flores United States 15 305 1.0× 558 2.0× 198 0.9× 153 0.8× 84 0.9× 29 859
Caroline Wallace United States 11 79 0.3× 237 0.8× 275 1.3× 232 1.2× 79 0.9× 13 628

Countries citing papers authored by Wade Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Wade Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wade Anderson

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

All Works

7 of 7 papers shown
1.
Stieglitz, Elliot, Christine Gu, Michelle Richardson, et al.. (2023). Tretinoin Enhances the Effects of Chemotherapy in Juvenile Myelomonocytic Leukemia Using an Ex Vivo Drug Sensitivity Assay. JCO Precision Oncology. 7(7). e2300302–e2300302. 1 indexed citations
2.
Jacoby, Meagan A., John S. Welch, Peter Westervelt, et al.. (2023). Abstract 4342: Predictive precision medicine platform accurately predicts individual patient response to AML treatments to maximize outcomes. Cancer Research. 83(7_Supplement). 4342–4342. 2 indexed citations
3.
Kita, Ryosuke, Steven Schaffert, Erica Anderson, et al.. (2021). Development of a multiomics and functional drug sensitivity platform to investigate cell type specific drug effects in AML.. Journal of Clinical Oncology. 39(15_suppl). e19013–e19013.
4.
Vitorino, Philip, Chen-Hua Chuang, Alexandre Iannello, et al.. (2020). Rova-T enhances the anti-tumor activity of anti-PD1 in a murine model of small cell lung cancer with endogenous Dll3 expression. Translational Oncology. 14(1). 100883–100883. 18 indexed citations
5.
Anderson, Wade, Michael Boyd, Jorge Aguilar, et al.. (2015). Initiation and Characterization of Small Cell Lung Cancer Patient-Derived Xenografts from Ultrasound-Guided Transbronchial Needle Aspirates. PLoS ONE. 10(5). e0125255–e0125255. 28 indexed citations
6.
Williams, Samuel A., et al.. (2013). Patient-derived xenografts, the cancer stem cell paradigm, and cancer pathobiology in the 21st century. Laboratory Investigation. 93(9). 970–982. 142 indexed citations
7.
Passegué, Emmanuelle, Amy J. Wagers, Sylvie Giuriato, Wade Anderson, & Irving L. Weissman. (2005). Global analysis of proliferation and cell cycle gene expression in the regulation of hematopoietic stem and progenitor cell fates. The Journal of Experimental Medicine. 202(11). 1599–1611. 482 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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