Helene R. McMurray

1.0k total citations
19 papers, 763 citations indexed

About

Helene R. McMurray is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Helene R. McMurray has authored 19 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Genetics. Recurrent topics in Helene R. McMurray's work include Acute Myeloid Leukemia Research (5 papers), Gene Regulatory Network Analysis (4 papers) and Bioinformatics and Genomic Networks (3 papers). Helene R. McMurray is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Gene Regulatory Network Analysis (4 papers) and Bioinformatics and Genomic Networks (3 papers). Helene R. McMurray collaborates with scholars based in United States, France and Czechia. Helene R. McMurray's co-authors include Dennis J. McCance, Hartmut Land, Don X. Nguyen, Thomas F. Westbrook, Matthew N. McCall, Anthony Almudevar, John M. Ashton, Peter Salzman, Laurel Newman and Erik R. Sampson and has published in prestigious journals such as Nature, Blood and Bioinformatics.

In The Last Decade

Helene R. McMurray

18 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helene R. McMurray United States 9 352 197 175 121 100 19 763
Sophie Allart France 18 312 0.9× 261 1.3× 195 1.1× 51 0.4× 272 2.7× 31 1.0k
Yasuhiro Nakayama Japan 19 382 1.1× 291 1.5× 166 0.9× 71 0.6× 276 2.8× 60 1.0k
Kazumasa Hikiji Japan 17 328 0.9× 484 2.5× 123 0.7× 102 0.8× 85 0.8× 53 1.1k
Paul Mellor United Kingdom 20 478 1.4× 57 0.3× 285 1.6× 131 1.1× 133 1.3× 32 1.1k
Allon Canaan United States 14 383 1.1× 150 0.8× 170 1.0× 74 0.6× 202 2.0× 23 698
Rebecca L. Margraf United States 18 383 1.1× 155 0.8× 71 0.4× 144 1.2× 182 1.8× 40 998
Wenyu Yu Taiwan 20 508 1.4× 158 0.8× 218 1.2× 130 1.1× 110 1.1× 35 910
Benjamin Rauwel France 13 353 1.0× 218 1.1× 90 0.5× 71 0.6× 307 3.1× 21 807
Soujuan Wang United States 11 294 0.8× 158 0.8× 58 0.3× 176 1.5× 230 2.3× 13 700
Naoki Ikeda Japan 17 332 0.9× 174 0.9× 194 1.1× 120 1.0× 234 2.3× 66 942

Countries citing papers authored by Helene R. McMurray

Since Specialization
Citations

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

Fields of papers citing papers by Helene R. McMurray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helene R. McMurray. 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 Helene R. McMurray. The network helps show where Helene R. McMurray may publish in the future.

Co-authorship network of co-authors of Helene R. McMurray

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

All Works

19 of 19 papers shown
1.
McMurray, Helene R., et al.. (2023). P220 Managing STAT deceased donor HLA typing and laboratory staff shortage: Experience of two HLA laboratories. Human Immunology. 84. 101–101. 1 indexed citations
2.
McMurray, Helene R., et al.. (2022). Protocol to use TopNet for gene regulatory network modeling using gene expression data from perturbation experiments. STAR Protocols. 3(4). 101737–101737.
3.
McMurray, Helene R., Laurel Newman, Bradley Smith, et al.. (2021). Gene network modeling via TopNet reveals functional dependencies between diverse tumor-critical mediator genes. Cell Reports. 37(12). 110136–110136. 1 indexed citations
4.
McMurray, Helene R., et al.. (2020). Multiple imputation and direct estimation for qPCR data with non-detects. BMC Bioinformatics. 21(1). 545–545. 3 indexed citations
5.
Azadniv, Mitra, Jason R. Myers, Helene R. McMurray, et al.. (2019). Bone marrow mesenchymal stromal cells from acute myelogenous leukemia patients demonstrate adipogenic differentiation propensity with implications for leukemia cell support. Leukemia. 34(2). 391–403. 71 indexed citations
6.
Lamantia, Cassandra E., et al.. (2017). Developmental alcohol exposure impairs synaptic plasticity without overtly altering microglial function in mouse visual cortex. Brain Behavior and Immunity. 67. 257–278. 20 indexed citations
7.
Azadniv, Mitra, Jason R. Myers, Helene R. McMurray, et al.. (2016). Bone Marrow Mesenchymal Stem Cells from Acute Myelogenous Leukemia Patients Demonstrate Adipogenic Differentiation Propensity. Blood. 128(22). 5064–5064. 1 indexed citations
8.
Mendler, Jason H., Marlene Balys, Tzu‐Chieh Ho, et al.. (2015). Distinct Properties of Leukemia Stem Cells in Primary Refractory Acute Myeloid Leukemia. Blood. 126(23). 685–685. 1 indexed citations
9.
McCall, Matthew N., Helene R. McMurray, Hartmut Land, & Anthony Almudevar. (2014). On non-detects in qPCR data. Bioinformatics. 30(16). 2310–2316. 132 indexed citations
10.
Tran, Van Du T., Matthew N. McCall, Helene R. McMurray, & Anthony Almudevar. (2013). On the underlying assumptions of threshold Boolean networks as a model for genetic regulatory network behavior. Frontiers in Genetics. 4. 263–263. 8 indexed citations
11.
Sampson, Erik R., Helene R. McMurray, Duane C. Hassane, et al.. (2012). Gene signature critical to cancer phenotype as a paradigm for anticancer drug discovery. Oncogene. 32(33). 3809–3818. 7 indexed citations
12.
Ashton, John M., Marlene Balys, Sarah J. Neering, et al.. (2012). Gene Sets Identified with Oncogene Cooperativity Analysis Regulate In Vivo Growth and Survival of Leukemia Stem Cells. Cell stem cell. 11(3). 359–372. 45 indexed citations
13.
Almudevar, Anthony, Matthew N. McCall, Helene R. McMurray, & Hartmut Land. (2011). Fitting Boolean Networks from Steady State Perturbation Data. Statistical Applications in Genetics and Molecular Biology. 10(1). 8 indexed citations
14.
Ashton, John M., Marlene Balys, Sarah J. Neering, et al.. (2011). Oncogene Cooperativity Analysis Reveals a Novel Set of Genes That Regulate the In Vivo Growth and Survival of Leukemia Stem Cells. Blood. 118(21). 553–553. 1 indexed citations
15.
Hughes, David C., et al.. (2010). 128 Use of a biochip assaying 28 mutations in the KRAS, BRAF, TP53, and APC genes for detection of colorectal neoplasia. European Journal of Cancer Supplements. 8(5). 33–34. 1 indexed citations
16.
McMurray, Helene R., Erik R. Sampson, Conan G. Kinsey, et al.. (2008). Synergistic response to oncogenic mutations defines gene class critical to cancer phenotype. Nature. 453(7198). 1112–1116. 122 indexed citations
17.
McMurray, Helene R. & Dennis J. McCance. (2004). Degradation of p53, Not Telomerase Activation, by E6 Is Required for Bypass of Crisis and Immortalization by Human Papillomavirus Type 16 E6/E7. Journal of Virology. 78(11). 5698–5706. 28 indexed citations
18.
McMurray, Helene R. & Dennis J. McCance. (2003). Human Papillomavirus Type 16 E6 Activates TERT Gene Transcription through Induction of c-Myc and Release of USF-Mediated Repression. Journal of Virology. 77(18). 9852–9861. 136 indexed citations
19.
McMurray, Helene R., et al.. (2001). Biology of human papillomaviruses. International Journal of Experimental Pathology. 82(1). 15–33. 177 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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