Michelle Wang

856 total citations
28 papers, 426 citations indexed

About

Michelle Wang is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Michelle Wang has authored 28 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Michelle Wang's work include Protein Degradation and Inhibitors (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and CAR-T cell therapy research (3 papers). Michelle Wang is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and CAR-T cell therapy research (3 papers). Michelle Wang collaborates with scholars based in United States, Canada and China. Michelle Wang's co-authors include Filip Van Petegem, Kimberly A. Clark, Karl E. Duderstadt, Daniel L. Minor, Zi Gao, Lin Li, Wendan Ren, Yinsheng Wang, Jikui Song and Ming Huang and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and Blood.

In The Last Decade

Michelle Wang

23 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Wang United States 10 316 40 38 38 33 28 426
П. П. Авдонин Russia 11 182 0.6× 34 0.8× 20 0.5× 18 0.5× 41 1.2× 40 303
Lei Xiao China 12 336 1.1× 30 0.8× 22 0.6× 23 0.6× 47 1.4× 17 446
Michael Babich United States 12 208 0.7× 51 1.3× 15 0.4× 54 1.4× 61 1.8× 34 384
Mireia Pérez-Verdaguer Spain 13 419 1.3× 85 2.1× 154 4.1× 28 0.7× 39 1.2× 18 520
Yinyin Xie China 11 335 1.1× 11 0.3× 14 0.4× 48 1.3× 21 0.6× 30 468
Kenji Watari Japan 8 233 0.7× 78 1.9× 59 1.6× 30 0.8× 30 0.9× 15 322
Elena Kostromina Russia 8 223 0.7× 35 0.9× 14 0.4× 22 0.6× 41 1.2× 27 450
Jesusa Capera Spain 11 372 1.2× 81 2.0× 113 3.0× 28 0.7× 26 0.8× 20 468
Yoshiko Onozawa Japan 7 190 0.6× 52 1.3× 12 0.3× 61 1.6× 48 1.5× 7 333

Countries citing papers authored by Michelle Wang

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Wang. A scholar is included among the top collaborators of Michelle Wang 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 Michelle Wang. Michelle Wang 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.
2.
Hassan, Muhammad Murtaza, Yen-Der Li, W Michelle, et al.. (2024). Exploration of the tunability of BRD4 degradation by DCAF16 trans-labelling covalent glues. European Journal of Medicinal Chemistry. 279. 116904–116904. 12 indexed citations
3.
Leblanc, Kori, George Dranitsaris, Darryl P. Leong, et al.. (2024). Drug Interactions between Androgen Receptor Axis-Targeted Therapies and Antithrombotic Therapies in Prostate Cancer: Delphi Consensus. Cancers. 16(19). 3336–3336.
4.
Yin, Qing, Michelle Wang, Allen Hu, et al.. (2024). Combinatorial Therapy of CDK9 Inhibitor with CD19 CAR-T to Reciprocally Overcome Therapy Resistance and Enhance Treatment Efficacies Against Aggressive B-Cell Lymphomas. Blood. 144(Supplement 1). 6219–6219. 1 indexed citations
5.
Wang, Michelle, et al.. (2022). Exploring Methods of Targeting Histone Methyltransferases and Their Applications in Cancer Therapeutics. ACS Chemical Biology. 17(4). 744–755. 19 indexed citations
6.
Gao, Jing, Michelle Wang, Yuan Ren, et al.. (2021). Response and resistance to CDK12 inhibition in aggressive B-cell lymphomas. Haematologica. 107(5). 1119–1130. 7 indexed citations
7.
Cao, Pengpeng, et al.. (2020). Dynamically Programmable Magnetic Fields for Controlled Movement of Cells Loaded with Iron Oxide Nanoparticles. ACS Applied Bio Materials. 3(7). 4139–4147. 7 indexed citations
8.
Li, Lin, Preston Williams, Wendan Ren, et al.. (2020). YY1 interacts with guanine quadruplexes to regulate DNA looping and gene expression. Nature Chemical Biology. 17(2). 161–168. 87 indexed citations
9.
Wang, Michelle, Xiaohong Zhao, Huijuan Jiang, et al.. (2020). CDK9 As a New Therapeutic Vulnerability for Ibrutinib Resistance Mantle Cell Lymphoma (MCL). Blood. 136(Supplement 1). 34–35.
11.
Chamessian, Alexander, Megumi Matsuda, Michelle Wang, et al.. (2019). Is Optogenetic Activation of Vglut1-Positive Aβ Low-Threshold Mechanoreceptors Sufficient to Induce Tactile Allodynia in Mice after Nerve Injury?. Journal of Neuroscience. 39(31). 6202–6215. 24 indexed citations
12.
Yin, Xiaohan, Qiuji Wu, Youjun Zhang, et al.. (2016). Analysis of persistent changes to γ-aminobutyric acid receptor gene expression in Plutella xylostella subjected to sublethal amounts of spinosad. Genetics and Molecular Research. 15(3). 4 indexed citations
14.
Wang, Lu, et al.. (2013). A safe, effective, and facility compatible cleaning in place procedure for affinity resin in large-scale monoclonal antibody purification. Journal of Chromatography A. 1308. 86–95. 18 indexed citations
15.
Wang, Michelle, Dafna D. Gladman, Dominique Ibañez, & Murray B. Urowitz. (2012). Long‐term outcome of early neuropsychiatric events due to active disease in systemic lupus erythematosus. Arthritis Care & Research. 64(6). 833–837. 8 indexed citations
16.
Law, Jennifer, Yvonne Li, Karen To, et al.. (2010). Molecular Decoy to the Y-Box Binding Protein-1 Suppresses the Growth of Breast and Prostate Cancer Cells whilst Sparing Normal Cell Viability. PLoS ONE. 5(9). e12661–e12661. 43 indexed citations
17.
Wang, Michelle, et al.. (2010). Sensing of Zinc‐Containing Nanopollutants with an Ionic Liquid. Journal of Nanomaterials. 2010(1). 3 indexed citations
18.
Gao, Yuanyuan, Abbas Fotovati, Cathy Lee, et al.. (2009). Inhibition of Y-box binding protein-1 slows the growth of glioblastoma multiforme and sensitizes to temozolomide independent O 6-methylguanine-DNA methyltransferase. Molecular Cancer Therapeutics. 8(12). 3276–3284. 45 indexed citations
19.
Lee, Cathy, Michelle Wang, Yuanyuan Gao, et al.. (2008). Targeting Y-box binding protein-1 (YB-1) in Her-2 over-expressing breast cancer cells induces apoptosis via the signal transducer and activator or transcription-3 (STAT3) pathway and suppresses tumor growth.. Clinical Cancer Research. 14. 1 indexed citations
20.
Petegem, Filip Van, Karl E. Duderstadt, Kimberly A. Clark, Michelle Wang, & Daniel L. Minor. (2008). Alanine-Scanning Mutagenesis Defines a Conserved Energetic Hotspot in the CaVα1 AID-CaVβ Interaction Site that Is Critical for Channel Modulation. Structure. 16(2). 280–294. 66 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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