Crystal McKnight

1.5k total citations
12 papers, 167 citations indexed

About

Crystal McKnight is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Crystal McKnight has authored 12 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Crystal McKnight's work include Computational Drug Discovery Methods (3 papers), Epigenetics and DNA Methylation (2 papers) and Glioma Diagnosis and Treatment (2 papers). Crystal McKnight is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Epigenetics and DNA Methylation (2 papers) and Glioma Diagnosis and Treatment (2 papers). Crystal McKnight collaborates with scholars based in United States, United Kingdom and Japan. Crystal McKnight's co-authors include Rajarshi Guha, Craig J. Thomas, Paul Shinn, Marc Ferrer, Sam Michael, Kelli M. Wilson, Carleen Klumpp‐Thomas, Mindy I. Davis, Yuen‐Yi Tseng and Amy Goodale and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Journal of Controlled Release.

In The Last Decade

Crystal McKnight

12 papers receiving 164 citations

Peers

Crystal McKnight

ONCOL

PRM

Yu Muta Japan

Christina Kalderén Sweden

Stacey Price United Kingdom

Boning Zhang United States

Xiaoyu Zhao China

Tamsin R.M. Lannagan United Kingdom

Paige N. Vega United States

Shodai Togo Japan

Qianying Ouyang China

Lucile Massenet-Regad France

Yu Muta Japan

Crystal McKnight

76 ×1.2

78 ×1.8

ONCOL

38 ×0.9

PRM

22 ×0.7

16 ×0.6

Citations per year, relative to Crystal McKnight Crystal McKnight (= 1×) peers Yu Muta

Countries citing papers authored by Crystal McKnight

Since Specialization

Citations

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

Fields of papers citing papers by Crystal McKnight

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Crystal McKnight

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

All Works

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12 of 12 papers shown

Hassan, Aishlin, Kwangmin Choi, Courtnee Clough, et al.. (2025). Targeting of IRAK4 and GSPT1 enhances therapeutic efficacy in AML via c-Myc destabilization. Leukemia. 39(9). 2163–2173. 2 indexed citations

Senatorov, Ilya S., Joel M. Bowman, Keith H. Jansson, et al.. (2024). Castrate-resistant prostate cancer response to taxane is determined by an HNF1-dependent apoptosis resistance circuit. Cell Reports Medicine. 5(12). 101868–101868. 2 indexed citations

Chory, Emma J., Meng Wang, Michele Ceribelli, et al.. (2023). High-throughput approaches to uncover synergistic drug combinations in leukemia. SLAS DISCOVERY. 28(4). 193–201. 4 indexed citations

Yasgar, Adam, Richard T. Eastman, Ruili Huang, et al.. (2023). Quantitative Bioactivity Signatures of Dietary Supplements and Natural Products. ACS Pharmacology & Translational Science. 6(5). 683–701. 2 indexed citations

Zhang, Xiaohu, Erin Beck, Kelli M. Wilson, et al.. (2023). Preclinical validation of a novel therapeutic strategy for choroid plexus carcinoma. Journal of Controlled Release. 357. 580–590. 2 indexed citations

Shinn, Paul, Lu Chen, Marc Ferrer, et al.. (2019). High-Throughput Screening for Drug Combinations. Methods in molecular biology. 1939. 11–35. 15 indexed citations

Guenther, Lillian M., Neekesh V. Dharia, Linda S. Ross, et al.. (2018). A Combination CDK4/6 and IGF1R Inhibitor Strategy for Ewing Sarcoma. Clinical Cancer Research. 25(4). 1343–1357. 62 indexed citations

Amato, Roberto, Richard T. Eastman, Pharath Lim, et al.. (2018). A single nucleotide polymorphism in the Plasmodium falciparum atg18 gene associates with artemisinin resistance and confers enhanced parasite survival under nutrient deprivation. Malaria Journal. 17(1). 391–391. 28 indexed citations

Wilson, Kelli M., Rajarshi Guha, Lu Chen, et al.. (2018). Mutation Profiles in Glioblastoma 3D Oncospheres Modulate Drug Efficacy. SLAS TECHNOLOGY. 24(1). 28–40. 14 indexed citations

10.

Chen, Lu, Kelli M. Wilson, Ian S. Goldlust, et al.. (2016). mQC: A Heuristic Quality-Control Metric for High-Throughput Drug Combination Screening. Scientific Reports. 6(1). 37741–37741. 8 indexed citations

11.

Griner, Lesley A. Mathews, Xiaohu Zhang, Rajarshi Guha, et al.. (2016). Large-scale pharmacological profiling of 3D tumor models of cancer cells. Cell Death and Disease. 7(12). e2492–e2492. 23 indexed citations

12.

Mathews, Lesley, Jonathan M. Keller, Crystal McKnight, et al.. (2013). Multiplexing High‐Content Flow (HCF) and Quantitative High‐Throughput Screening (qHTS) to Identify Compounds Capable of Decreasing Cell Viability, Activating Caspase 3/7, Expressing Annexin V, and Changing Mitochondrial Membrane Integrity. PubMed. 5(3). 195–212. 5 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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