Laura A. Genovesi

683 total citations
15 papers, 439 citations indexed

About

Laura A. Genovesi is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Laura A. Genovesi has authored 15 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Laura A. Genovesi's work include Glioma Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (4 papers) and Epigenetics and DNA Methylation (3 papers). Laura A. Genovesi is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), MicroRNA in disease regulation (4 papers) and Epigenetics and DNA Methylation (3 papers). Laura A. Genovesi collaborates with scholars based in Australia, United States and Canada. Laura A. Genovesi's co-authors include Brandon J. Wainwright, Melissa J. Davis, Kim W. Carter, Michael Piper, Keith M. Giles, Lachlan Harris, Richard M. Gronostajski, Peter B. Dallas, Marija Kojic and Nicholas G. Gottardo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Laura A. Genovesi

15 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laura A. Genovesi Australia	12	287	112	111	59	47	15	439
Drew Spencer United States	8	203 0.7×	142 1.3×	82 0.7×	142 2.4×	51 1.1×	9	405
Kara M. Foshay United States	12	446 1.6×	104 0.9×	257 2.3×	92 1.6×	44 0.9×	15	652
Tobias Bergström Sweden	10	176 0.6×	119 1.1×	71 0.6×	55 0.9×	23 0.5×	17	355
Cintia Carla da Hora United States	10	171 0.6×	89 0.8×	89 0.8×	63 1.1×	49 1.0×	11	398
Hsin‐I Ma Taiwan	11	337 1.2×	87 0.8×	146 1.3×	116 2.0×	17 0.4×	18	492
Ji Sun Woo South Korea	7	188 0.7×	165 1.5×	49 0.4×	58 1.0×	44 0.9×	8	330
Jinguen Rheey South Korea	7	215 0.7×	67 0.6×	79 0.7×	100 1.7×	43 0.9×	8	348
Jessica Tomé-García United States	10	178 0.6×	104 0.9×	100 0.9×	60 1.0×	27 0.6×	17	342
Lourdes A. Gomez United States	10	238 0.8×	84 0.8×	55 0.5×	55 0.9×	32 0.7×	10	355
Jack Shireman United States	12	197 0.7×	178 1.6×	86 0.8×	89 1.5×	32 0.7×	24	403

Countries citing papers authored by Laura A. Genovesi

Since Specialization

Citations

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

Fields of papers citing papers by Laura A. Genovesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura A. Genovesi. 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 Laura A. Genovesi. The network helps show where Laura A. Genovesi may publish in the future.

Co-authorship network of co-authors of Laura A. Genovesi

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

All Works

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15 of 15 papers shown

Cheikh, Bassem Ben, et al.. (2023). Abstract 4703: Applying spatial omics and computational integrative analyses to study drug responses and cancer immune cell interactions. Cancer Research. 83(7_Supplement). 4703–4703. 1 indexed citations

Stehbens, Samantha J., et al.. (2023). Addressing blood-brain-tumor-barrier heterogeneity in pediatric brain tumors with innovative preclinical models. Frontiers in Oncology. 13. 1101522–1101522. 16 indexed citations

Balderson, Brad, Joanna Crawford, Marija Kojic, et al.. (2023). Spatial transcriptomic analysis of Sonic hedgehog medulloblastoma identifies that the loss of heterogeneity and promotion of differentiation underlies the response to CDK4/6 inhibition. Genome Medicine. 15(1). 29–29. 11 indexed citations

Adolphe, Christelle, Angli Xue, Atefeh Taherian Fard, et al.. (2021). Genetic and functional interaction network analysis reveals global enrichment of regulatory T cell genes influencing basal cell carcinoma susceptibility. Genome Medicine. 13(1). 19–19. 30 indexed citations

Genovesi, Laura A., Marija Kojic, Caterina Brighi, et al.. (2021). Systems pharmacogenomics identifies novel targets and clinically actionable therapeutics for medulloblastoma. Genome Medicine. 13(1). 103–103. 11 indexed citations

Adolphe, Christelle, Marija Kojic, Deborah S. Barkauskas, et al.. (2021). SOX9 Defines Distinct Populations of Cells in SHH Medulloblastoma but Is Not Required for Math1-Driven Tumor Formation. Molecular Cancer Research. 19(11). 1831–1839. 5 indexed citations

Brighi, Caterina, Lee B. Reid, Alison L. White, et al.. (2020). MR-guided focused ultrasound increases antibody delivery to nonenhancing high-grade glioma. Neuro-Oncology Advances. 2(1). vdaa030–vdaa030. 27 indexed citations

Brighi, Caterina, Lee B. Reid, Laura A. Genovesi, et al.. (2020). Comparative study of preclinical mouse models of high-grade glioma for nanomedicine research: the importance of reproducing blood-brain barrier heterogeneity. Theranostics. 10(14). 6361–6371. 32 indexed citations

Genovesi, Laura A., Simon Puttick, Marija Kojic, et al.. (2020). Patient-derived orthotopic xenograft models of medulloblastoma lack a functional blood-brain barrier. Neuro-Oncology. 23(5). 732–742. 16 indexed citations

10.

Kojic, Marija, Monika Gaik, Sarah Hunt, et al.. (2018). Elongator mutation in mice induces neurodegeneration and ataxia-like behavior. Nature Communications. 9(1). 3195–3195. 39 indexed citations

11.

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

12.

Harris, Lachlan, Laura A. Genovesi, Richard M. Gronostajski, Brandon J. Wainwright, & Michael Piper. (2014). Nuclear factor one transcription factors: Divergent functions in developmental versus adult stem cell populations. Developmental Dynamics. 244(3). 227–238. 64 indexed citations

13.

Genovesi, Laura A., Melissa J. Davis, Marc Remke, et al.. (2013). Sleeping Beauty mutagenesis in a mouse medulloblastoma model defines networks that discriminate between human molecular subgroups. Proceedings of the National Academy of Sciences. 110(46). E4325–34. 52 indexed citations

14.

Genovesi, Laura A., Denise Anderson, Kim W. Carter, Keith M. Giles, & Peter B. Dallas. (2012). Identification of suitable endogenous control genes for microRNA expression profiling of childhood medulloblastoma and human neural stem cells. BMC Research Notes. 5(1). 507–507. 21 indexed citations

15.

Genovesi, Laura A., Kim W. Carter, Nicholas G. Gottardo, Keith M. Giles, & Peter B. Dallas. (2011). Integrated Analysis of miRNA and mRNA Expression in Childhood Medulloblastoma Compared with Neural Stem Cells. PLoS ONE. 6(9). e23935–e23935. 46 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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