Melissa J. Davis

9.9k total citations
95 papers, 3.3k citations indexed

About

Melissa J. Davis is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Melissa J. Davis has authored 95 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 20 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Melissa J. Davis's work include Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (15 papers) and Single-cell and spatial transcriptomics (13 papers). Melissa J. Davis is often cited by papers focused on Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (15 papers) and Single-cell and spatial transcriptomics (13 papers). Melissa J. Davis collaborates with scholars based in Australia, United States and United Kingdom. Melissa J. Davis's co-authors include Mark A. Ragan, Joseph Cursons, Momeneh Foroutan, Dharmesh D. Bhuva, Stefan Maetschke, Soroor Hediyeh-zadeh, Kim‐Anh Lê Cao, Ignacio González, Sébastien Dejean and Piyush B. Madhamshettiwar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Melissa J. Davis

95 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa J. Davis Australia 33 2.1k 771 651 505 268 95 3.3k
Saurabh Saha United States 22 2.0k 0.9× 833 1.1× 517 0.8× 572 1.1× 168 0.6× 46 3.3k
Jia‐Ren Lin United States 27 2.0k 1.0× 689 0.9× 457 0.7× 363 0.7× 449 1.7× 56 3.0k
Philip East United Kingdom 31 2.7k 1.3× 867 1.1× 665 1.0× 935 1.9× 395 1.5× 50 4.1k
Hauke Busch Germany 34 2.0k 1.0× 985 1.3× 501 0.8× 731 1.4× 390 1.5× 181 3.8k
Siniša Volarević Croatia 26 2.8k 1.3× 858 1.1× 515 0.8× 396 0.8× 237 0.9× 39 3.6k
Charlotte Soneson Switzerland 31 2.8k 1.3× 892 1.2× 795 1.2× 810 1.6× 131 0.5× 69 4.5k
Judith M. Boer Netherlands 36 2.7k 1.3× 650 0.8× 658 1.0× 713 1.4× 147 0.5× 94 4.7k
Bum-Joon Park South Korea 32 2.2k 1.1× 811 1.1× 413 0.6× 445 0.9× 304 1.1× 95 3.4k
Joshua Gould United States 12 2.7k 1.3× 1.2k 1.6× 601 0.9× 810 1.6× 235 0.9× 17 4.1k
Zhenlin Ju United States 35 2.3k 1.1× 1.3k 1.7× 672 1.0× 599 1.2× 154 0.6× 73 3.7k

Countries citing papers authored by Melissa J. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Melissa J. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa J. Davis. 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 Melissa J. Davis. The network helps show where Melissa J. Davis may publish in the future.

Co-authorship network of co-authors of Melissa J. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa J. Davis. A scholar is included among the top collaborators of Melissa J. Davis 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 Melissa J. Davis. Melissa J. Davis 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.
Behrens, Kira, Natalie Brajanovski, Zhen Xu, et al.. (2024). ERG and c-MYC regulate a critical gene network in BCR::ABL1-driven B cell acute lymphoblastic leukemia. Science Advances. 10(10). eadj8803–eadj8803. 6 indexed citations
2.
Bhuva, Dharmesh D., Chin Wee Tan, Ning Liu, et al.. (2024). vissE: a versatile tool to identify and visualise higher-order molecular phenotypes from functional enrichment analysis. BMC Bioinformatics. 25(1). 64–64. 6 indexed citations
3.
Hediyeh-zadeh, Soroor, Andrew I. Webb, & Melissa J. Davis. (2023). MsImpute: Estimation of Missing Peptide Intensity Data in Label-Free Quantitative Mass Spectrometry. Molecular & Cellular Proteomics. 22(8). 100558–100558. 8 indexed citations
4.
Koldej, Rachel, et al.. (2023). Spatial proteomics identifies a spectrum of immune dysregulation in acquired bone marrow failure syndromes. Frontiers in Immunology. 14. 1213560–1213560. 1 indexed citations
5.
Liu, Ning, Dharmesh D. Bhuva, Ahmed Mohamed, et al.. (2023). standR: spatial transcriptomic analysis for GeoMx DSP data. Nucleic Acids Research. 52(1). e2–e2. 24 indexed citations
6.
Orang, Ayla, B. Kate Dredge, Sarah T. Boyle, et al.. (2023). Basonuclin-2 regulates extracellular matrix production and degradation. Life Science Alliance. 6(10). e202301984–e202301984. 3 indexed citations
7.
Souza-Fonseca-Guimarães, Fernando, Gustavo Rodrigues Rossi, Laura F. Dagley, et al.. (2022). TGFβ and CIS Inhibition Overcomes NK-cell Suppression to Restore Antitumor Immunity. Cancer Immunology Research. 10(9). 1047–1054. 35 indexed citations
8.
Berthelet, Jean, Momeneh Foroutan, Dharmesh D. Bhuva, et al.. (2022). Computational Screening of Anti-Cancer Drugs Identifies a New BRCA Independent Gene Expression Signature to Predict Breast Cancer Sensitivity to Cisplatin. Cancers. 14(10). 2404–2404. 1 indexed citations
9.
Jolly, Mohit Kumar, Ryan J. Murphy, Sugandha Bhatia, et al.. (2021). Measuring and Modelling the Epithelial- Mesenchymal Hybrid State in Cancer: Clinical Implications. Cells Tissues Organs. 211(2). 110–133. 32 indexed citations
10.
Fearnley, Liam G., et al.. (2021). Measuring pathway database coverage of the phosphoproteome. PeerJ. 9. e11298–e11298. 1 indexed citations
11.
Bhuva, Dharmesh D., Joseph Cursons, & Melissa J. Davis. (2020). Stable gene expression for normalisation and single-sample scoring. Nucleic Acids Research. 48(19). e113–e113. 37 indexed citations
12.
Louis, Cynthia, Fernando Souza-Fonseca-Guimarães, Yuyan Yang, et al.. (2020). NK cell–derived GM-CSF potentiates inflammatory arthritis and is negatively regulated by CIS. The Journal of Experimental Medicine. 217(5). 65 indexed citations
13.
Pillman, Katherine A., Andrew G. Bert, John Toubia, et al.. (2019). Extensive transcriptional responses are co-ordinated by microRNAs as revealed by Exon–Intron Split Analysis (EISA). Nucleic Acids Research. 47(16). 8606–8619. 7 indexed citations
14.
Genovesi, Laura A., et al.. (2017). Inhibition of CDK4/6 by Palbociclib Significantly Extends Survival in Medulloblastoma Patient-Derived Xenograft Mouse Models. Clinical Cancer Research. 23(19). 5802–5813. 68 indexed citations
15.
Foroutan, Momeneh, Joseph Cursons, Soroor Hediyeh-zadeh, Erik W. Thompson, & Melissa J. Davis. (2017). A Transcriptional Program for Detecting TGFβ-Induced EMT in Cancer. Molecular Cancer Research. 15(5). 619–631. 51 indexed citations
16.
Hemming, Sarah, Dimitrios Cakouros, Kate Vandyke, et al.. (2016). Identification of Novel EZH2 Targets Regulating Osteogenic Differentiation in Mesenchymal Stem Cells. Stem Cells and Development. 25(12). 909–921. 64 indexed citations
17.
Alexiadis, Maria, Natalie A. Eriksson, Melissa J. Davis, et al.. (2014). Nuclear Receptor Expression in Human Differentiated Thyroid Tumors. Thyroid. 24(6). 1000–1011. 15 indexed citations
18.
Primmer, Craig R., Spiros Papakostas, Erica H. Leder, Melissa J. Davis, & Mark A. Ragan. (2013). Annotated genes and nonannotated genomes: cross‐species use of Gene Ontology in ecology and evolution research. Molecular Ecology. 22(12). 3216–3241. 73 indexed citations
19.
Inder, Kerry L., Melissa J. Davis, & Michelle M. Hill. (2013). Ripples in the pond – using a systems approach to decipher the cellular functions of membrane microdomains. Molecular BioSystems. 9(3). 330–338. 10 indexed citations
20.
Davis, Melissa J., et al.. (2012). Rewiring the dynamic interactome. Molecular BioSystems. 8(8). 2054–2066. 26 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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