Mickey Williams

1.3k total citations
18 papers, 545 citations indexed

About

Mickey Williams is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Mickey Williams has authored 18 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Mickey Williams's work include Cancer Genomics and Diagnostics (8 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Mickey Williams is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). Mickey Williams collaborates with scholars based in United States, Switzerland and South Korea. Mickey Williams's co-authors include Mark Boguniewicz, Abbie Celniker, Richard J. Martin, Ulrich Certa, Sally D. Pennypacker, Karen Toy, Ervin H. Epstein, Jeannette M. Bonifas, Arnon Rosenthal and Andrew P. McMahon and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Mickey Williams

16 papers receiving 523 citations

Peers

Mickey Williams

ONCOL

PHYSI

PRM

Marianne Großer Germany

Loren E. Clarke United States

Chiara Angiolilli Netherlands

Sebastian Costa France

Maria Gonidi Greece

Rena R. Xian United States

Scott C. Bresler United States

Oi Harada Japan

Victor Renault France

Matthew Volm United States

Marianne Großer Germany

Mickey Williams

204 ×0.8

142 ×1.1

108 ×1.0

ONCOL

53 ×0.5

PHYSI

130 ×1.3

PRM

Citations per year, relative to Mickey Williams Mickey Williams (= 1×) peers Marianne Großer

Countries citing papers authored by Mickey Williams

Since Specialization

Citations

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

Fields of papers citing papers by Mickey Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mickey Williams

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

All Works

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18 of 18 papers shown

Hsieh, Annie L., Elizabeth R. Gerstner, Solmaz Sahebjam, et al.. (2022). CTNI-50. A RANDOMIZED PHASE 2 TRIAL OF CEDIRANIB/OLAPARIB VERSUS BEVACIZUMAB IN PATIENTS WITH RECURRENT GLIOBLASTOMA: UPDATED RESULTS. Neuro-Oncology. 24(Supplement_7). vii83–vii83. 1 indexed citations

Mita, Alain C., Zihan Wei, Ingrid A. Mayer, et al.. (2021). Abstract LBA003: Erdafitinib in patients with tumors harboring FGFR gene mutations or fusions: Results from the NCI-MATCH ECOG-ACRIN Trial (EAY131) Sub-protocol K2. Molecular Cancer Therapeutics. 20(12_Supplement). LBA003–LBA003.

Casas-Silva, Esmeralda, Lokesh Agrawal, Veena Gopalakrishnan, et al.. (2021). Abstract 2632: Fostering engagement in biobanking and research through the NCI Cancer Moonshot Biobank patient and provider engagement website. Cancer Research. 81(13_Supplement). 2632–2632. 1 indexed citations

Damodaran, Senthil, Fengmin Zhao, Dustin A. Deming, et al.. (2020). Phase II study of copanlisib in patients with tumors with PIK3CA mutations (PTEN loss allowed): NCI MATCH EAY131-Z1F.. Journal of Clinical Oncology. 38(15_suppl). 3506–3506. 3 indexed citations

Harris, Lyndsay N., Alice P. Chen, Peter J. O’Dwyer, et al.. (2018). Abstract B080: Update on the NCI-Molecular Analysis for Therapy Choice (NCI-MATCH/EAY131) precision medicine trial. Molecular Cancer Therapeutics. 17(1_Supplement). B080–B080. 11 indexed citations

Kalman, Lisa V., Vivekananda Datta, Mickey Williams, et al.. (2016). Development and Characterization of Reference Materials for Genetic Testing: Focus on Public Partnerships. Annals of Laboratory Medicine. 36(6). 513–520. 15 indexed citations

Chen, Alice P., Mickey Williams, Shivaani Kummar, et al.. (2016). Feasibility of molecular profiling based assignment of cancer treatment (MPACT): A randomized NCI precision medicine study.. Journal of Clinical Oncology. 34(15_suppl). 2539–2539. 4 indexed citations

Abrams, Jeffrey S., Barbara A. Conley, Margaret Mooney, et al.. (2014). National Cancer Institute's Precision Medicine Initiatives for the New National Clinical Trials Network. American Society of Clinical Oncology Educational Book. 71–76. 122 indexed citations

Kummar, Shivaani, Mickey Williams, Chih‐Jian Lih, et al.. (2014). NCI mpact: National Cancer Institute molecular profiling-based assignment of cancer therapy.. Journal of Clinical Oncology. 32(15_suppl). TPS2642–TPS2642. 6 indexed citations

10.

Staudt, Louis M., Kieron Dunleavy, Joseph J. Buggy, et al.. (2011). The Bruton's Tyrosine Kinase (Btk) Inhibitor PCI-32765 Modulates Chronic Active BCR Signaling and Induces Tumor Regression in Relapsed/Refractory ABC DLBCL. Blood. 118(21). 2716–2716. 23 indexed citations

11.

Mills, Ken, Mickey Williams, Weimin Liu, et al.. (2007). Microarray Classification of Myelodysplastic Syndrome (MDS) Identifies Subgroups with Distinct Clinical Outcomes.. Blood. 110(11). 2426–2426.

12.

Langland, Rachel, et al.. (2006). Development of a companion diagnostic test for inhibitors of V600E BRAF. Clinical Cancer Research. 12. 2 indexed citations

13.

Haferlach, Torsten, Alexander Kohlmann, Giuseppe Basso, et al.. (2005). A Multi-Center and Multi-National Program To Assess the Clinical Accuracy of the Molecular Subclassification of Leukemia by Gene Expression Profiling.. Blood. 106(11). 757–757. 7 indexed citations

14.

Toy, Karen, et al.. (2003). Evaluation of procedures for amplification of small-size samples for hybridization on microarrays. Genomics. 83(3). 508–517. 64 indexed citations

15.

Shibamoto, Sayumi, Jane Winer, Mickey Williams, & Paul Polakis. (2003). A blockade in Wnt signaling is activated following the differentiation of F9 teratocarcinoma cells. Experimental Cell Research. 292(1). 11–20. 28 indexed citations

16.

Bonifas, Jeannette M., Ervin H. Epstein, Sally D. Pennypacker, et al.. (2001). Activation of Expression of Hedgehog Target Genes in Basal Cell Carcinomas. Journal of Investigative Dermatology. 116(5). 739–742. 128 indexed citations

17.

Boguniewicz, Mark, et al.. (1995). The effects of nebulized recombinant interferon-γ in asthmatic airways. Journal of Allergy and Clinical Immunology. 95(1). 133–135. 90 indexed citations

18.

Martin, Richard J., Mark Boguniewicz, J E Henson, et al.. (1993). The Effects of Inhaled Interferon Gamma in Normal Human Airways. American Review of Respiratory Disease. 148(6_pt_1). 1677–1682. 40 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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