Heather C. Murray

538 total citations
17 papers, 210 citations indexed

About

Heather C. Murray is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Heather C. Murray has authored 17 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Hematology and 3 papers in Genetics. Recurrent topics in Heather C. Murray's work include Acute Myeloid Leukemia Research (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Sperm and Testicular Function (3 papers). Heather C. Murray is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Advanced Proteomics Techniques and Applications (3 papers) and Sperm and Testicular Function (3 papers). Heather C. Murray collaborates with scholars based in Australia, United States and Finland. Heather C. Murray's co-authors include Nicole M. Verrills, Matthew D. Dun, David A. Skerrett‐Byrne, Anoop Enjeti, Frank Alvaro, Dilana E. Staudt, Nikola A. Bowden, Pieter Van Vlierberghe, Doug W. Smith and Delphine Verbeke and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Molecular & Cellular Proteomics.

In The Last Decade

Heather C. Murray

13 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather C. Murray Australia	7	99	55	37	34	33	17	210
Katayoon Shirneshan Germany	10	118 1.2×	82 1.5×	79 2.1×	15 0.4×	11 0.3×	21	271
Céline Bourgne France	9	110 1.1×	44 0.8×	60 1.6×	26 0.8×	39 1.2×	26	271
Daniela Soriano Pignataro United States	9	205 2.1×	44 0.8×	17 0.5×	16 0.5×	38 1.2×	13	281
Laura De Stefano Italy	8	69 0.7×	45 0.8×	11 0.3×	33 1.0×	30 0.9×	16	195
Cecília Correia Portugal	12	124 1.3×	92 1.7×	32 0.9×	10 0.3×	32 1.0×	25	267
Xunqiang Yin China	9	126 1.3×	25 0.5×	101 2.7×	74 2.2×	19 0.6×	16	362
Nicholas Hickson United Kingdom	8	66 0.7×	35 0.6×	20 0.5×	8 0.2×	39 1.2×	10	185
Maria Bouvy‐Liivrand Finland	11	243 2.5×	45 0.8×	54 1.5×	50 1.5×	42 1.3×	14	365
Caroline S. Kim United States	8	142 1.4×	50 0.9×	39 1.1×	11 0.3×	53 1.6×	11	313
Joshua M. Eichhorn United States	6	177 1.8×	43 0.8×	45 1.2×	19 0.6×	94 2.8×	14	280

Countries citing papers authored by Heather C. Murray

Since Specialization

Citations

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

Fields of papers citing papers by Heather C. Murray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather C. Murray. 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 Heather C. Murray. The network helps show where Heather C. Murray may publish in the future.

Co-authorship network of co-authors of Heather C. Murray

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

All Works

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17 of 17 papers shown

Murray, Heather C., et al.. (2026). Neuropsychiatric Complications of Allopurinol-Induced Drug reaction With Eosinophilia and Systemic Symptoms Syndrome. Journal of the Academy of Consultation-Liaison Psychiatry.

Bond, Danielle R., B. M. R. Harvey, Luiza Steffens Reinhardt, et al.. (2025). Hypomethylating agents induce epigenetic and transcriptional heterogeneity with implications for acute myeloid leukemia cell self-renewal. Leukemia. 39(9). 2275–2280.

Yates, A K, et al.. (2025). Substrate stiffness and shear stress collectively regulate the inflammatory phenotype in cultured human brain microvascular endothelial cells. Fluids and Barriers of the CNS. 22(1). 73–73.

Murray, Heather C., et al.. (2024). Pharmaco‐phosphoproteomic analysis of cancer‐associated KIT mutations D816V and V560G. PROTEOMICS. 24(9). e2300309–e2300309.

Skerrett‐Byrne, David A., Simone J. Stanger, Natalie A. Trigg, et al.. (2024). Phosphoproteomic analysis of the adaption of epididymal epithelial cells to corticosterone challenge. Andrology. 12(5). 1038–1057. 3 indexed citations

Murray, Heather C., et al.. (2024). Proteogenomic profiling of acute myeloid leukemia to identify therapeutic targets. Expert Review of Proteomics. 21(12). 515–528. 1 indexed citations

Chen, Yanfang, Séverine Roselli, Joshua S. Brzozowski, et al.. (2023). Proteomic and phosphoproteomic characterisation of primary mouse embryonic fibroblasts. PROTEOMICS. 24(7). 1 indexed citations

Murray, Heather C., Joshua S. Brzozowski, Nathan D. Smith, et al.. (2023). Synergistic Targeting of DNA-PK and KIT Signaling Pathways in KIT Mutant Acute Myeloid Leukemia. Molecular & Cellular Proteomics. 22(3). 100503–100503. 9 indexed citations

Trigg, Natalie A., Ilana R. Bernstein, Amanda L. Anderson, et al.. (2023). Immortalized mouse caput epididymal epithelial (mECap18) cell line recapitulates the in‐vivo environment. PROTEOMICS. 24(7). e2300253–e2300253. 4 indexed citations

10.

Staudt, Dilana E., Heather C. Murray, David A. Skerrett‐Byrne, et al.. (2022). Phospho-heavy-labeled-spiketide FAIMS stepped-CV DDA (pHASED) provides real-time phosphoproteomics data to aid in cancer drug selection. Clinical Proteomics. 19(1). 48–48. 2 indexed citations

11.

Nixon, Brett, Amanda L. Anderson, Heather C. Murray, et al.. (2022). Elucidation of the protein composition of mouse seminal vesicle fluid. PROTEOMICS. 22(9). e2100227–e2100227. 17 indexed citations

12.

Skerrett‐Byrne, David A., Elizabeth G. Bromfield, Heather C. Murray, et al.. (2021). Time‐resolved proteomic profiling of cigarette smoke‐induced experimental chronic obstructive pulmonary disease. Respirology. 26(10). 960–973. 19 indexed citations

13.

Staudt, Dilana E., Heather C. Murray, Frank Alvaro, et al.. (2018). Targeting Oncogenic Signaling in Mutant FLT3 Acute Myeloid Leukemia: The Path to Least Resistance. International Journal of Molecular Sciences. 19(10). 3198–3198. 53 indexed citations

14.

Murray, Heather C., Matthew D. Dun, & Nicole M. Verrills. (2017). Harnessing the power of proteomics for identification of oncogenic, druggable signalling pathways in cancer. Expert Opinion on Drug Discovery. 12(5). 431–447. 11 indexed citations

15.

Degryse, Sandrine, Charles E. de Bock, Sofie Demeyer, et al.. (2017). Mutant JAK3 phosphoproteomic profiling predicts synergism between JAK3 inhibitors and MEK/BCL2 inhibitors for the treatment of T-cell acute lymphoblastic leukemia. Leukemia. 32(3). 788–800. 64 indexed citations

16.

Murray, Heather C., Vicki E. Maltby, Doug W. Smith, & Nikola A. Bowden. (2015). Nucleotide excision repair deficiency in melanoma in response to UVA. Experimental Hematology and Oncology. 5(1). 6–6. 20 indexed citations

17.

Bowden, Nikola A., Katie A. Ashton, Ricardo E. Vilain, et al.. (2013). Regulators of Global Genome Repair Do Not Respond to DNA Damaging Therapy but Correlate with Survival in Melanoma. PLoS ONE. 8(8). e70424–e70424. 6 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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