Dannielle Upton

554 total citations
20 papers, 370 citations indexed

About

Dannielle Upton is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Dannielle Upton has authored 20 papers receiving a total of 370 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 Genetics. Recurrent topics in Dannielle Upton's work include Glioma Diagnosis and Treatment (6 papers), Reproductive Biology and Fertility (3 papers) and Sperm and Testicular Function (3 papers). Dannielle Upton is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), Reproductive Biology and Fertility (3 papers) and Sperm and Testicular Function (3 papers). Dannielle Upton collaborates with scholars based in Australia, Italy and United States. Dannielle Upton's co-authors include Maria Tsoli, David S. Ziegler, David J. Handelsman, Charles M. Allan, Maria Kavallaris, Kirsten J. McTavish, Lisa Corcoran, Mark Jimenez, Reena Desai and Anahid Ehteda and has published in prestigious journals such as Nature Communications, Cancer Research and Scientific Reports.

In The Last Decade

Dannielle Upton

18 papers receiving 365 citations

Peers

Dannielle Upton

GENET

PHEOH

GENET

Mukesh Gautam United States

Jiahn-Chun Wu Taiwan

Xiaofei Ji China

Adolfo López-Ornelas Mexico

Heidar Toolee Iran

Fabiana Guizzardi Italy

Paulina Valadez-Cosmes Austria

Wei‐Chung Vivian Yang Taiwan

Liudmila Zakharova United States

Mukesh Gautam United States

Dannielle Upton

214 ×1.4

105 ×1.1

81 ×1.5

GENET

55 ×1.0

PHEOH

120 ×2.3

GENET

Citations per year, relative to Dannielle Upton Dannielle Upton (= 1×) peers Mukesh Gautam

Countries citing papers authored by Dannielle Upton

Since Specialization

Citations

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

Fields of papers citing papers by Dannielle Upton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dannielle Upton

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

All Works

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20 of 20 papers shown

Dolman, M. Emmy M., Dannielle Upton, Jie Liu, et al.. (2024). DIPG-50. TARGETING VULNERABILITIES IN PAEDIATRIC DIFFUSE MIDLINE GLIOMAS: LEVERAGING PLK1 INHIBITION TO EXPLOIT RAS/PI3K PATHWAY DEPENDENCY. Neuro-Oncology. 26(Supplement_4). 0–0.

Upton, Dannielle, Jie Liu, Hieu Pham Trung Nguyen, et al.. (2023). Abstract 1561: Preclinical examination of PLK1 inhibitors for the treatment of diffuse midline gliomas. Cancer Research. 83(7_Supplement). 1561–1561. 1 indexed citations

Upton, Dannielle, et al.. (2022). Challenges and opportunities to penetrate the blood-brain barrier for brain cancer therapy. Theranostics. 12(10). 4734–4752. 95 indexed citations

Upton, Dannielle, et al.. (2022). DIPG-21. DIPG cells alter the permeability of the blood-brain barrier in the brainstem leading to treatment failure.. Neuro-Oncology. 24(Supplement_1). i22–i22. 5 indexed citations

Upton, Dannielle, Jie Liu, Dongpo Cai, et al.. (2022). DIPG-08. The development of ACT001 as a novel therapeutic for diffuse intrinsic pontine gliomas. Neuro-Oncology. 24(Supplement_1). i19–i19.

Khan, Aaminah, Laura D. Gamble, Dannielle Upton, et al.. (2021). Dual targeting of polyamine synthesis and uptake in diffuse intrinsic pontine gliomas. Nature Communications. 12(1). 971–971. 84 indexed citations

Upton, Dannielle, Jie Liu, Dongpo Cai, et al.. (2021). HGG-14. ACT001 – A PROMISING THERAPEUTIC FOR DIFFUSE INTRINSIC PONTINE GLIOMAS. Neuro-Oncology. 23(Supplement_1). i20–i20. 1 indexed citations

Tsoli, Maria, Jie Liu, Domenico Cassano, et al.. (2021). Doxorubicin-Loaded Gold Nanoarchitectures as a Therapeutic Strategy against Diffuse Intrinsic Pontine Glioma. Cancers. 13(6). 1278–1278. 18 indexed citations

Upton, Dannielle, Jie Liu, Aaminah Khan, et al.. (2021). RARE-08. POTENTIAL NEW THERAPIES FOR DIFFUSE INTRINSIC PONTINE GLIOMAS IDENTIFIED THROUGH HIGH THROUGHPUT DRUG SCREENING. Neuro-Oncology. 23(Supplement_1). i42–i42. 2 indexed citations

10.

Upton, Dannielle, et al.. (2020). Anaesthetic-dependent changes in gene expression following acute and chronic exposure in the rodent brain. Scientific Reports. 10(1). 23 indexed citations

11.

Khan, Aaminah, Laura D. Gamble, Dannielle Upton, et al.. (2020). DIPG-15. POLYAMINE PATHWAY INHIBITION IS A POTENT NOVEL THERAPEUTIC STRATEGY AGAINST DIFFUSE INTRINSIC PONTINE GLIOMA. Neuro-Oncology. 22(Supplement_3). iii289–iii290. 1 indexed citations

12.

Upton, Dannielle, Jie Liu, Aaminah Khan, et al.. (2020). DIPG-07. HIGH THROUGHPUT DRUG SCREENING IDENTIFIES POTENTIAL NEW THERAPIES FOR DIFFUSE INTRINSIC PONTINE GLIOMAS (DIPGs). Neuro-Oncology. 22(Supplement_3). iii288–iii288. 2 indexed citations

13.

Upton, Dannielle, Kirsty A. Walters, Kirsten J. McTavish, et al.. (2018). Reproductive failure in mice expressing transgenic follicle-stimulating hormone is not caused by loss of oocyte quality†. Biology of Reproduction. 98(4). 491–500. 4 indexed citations

14.

Upton, Dannielle, Kirsty A. Walters, Rachel Allavena, et al.. (2016). Global or Granulosa Cell-Specific Pten Mutations in Combination with Elevated FSH Levels Fail to Cause Ovarian Tumours in Mice. Hormones and Cancer. 7(5-6). 316–326. 3 indexed citations

15.

Powell, Katie, Dannielle Upton, Sharon A. McCracken, et al.. (2016). Role for the thromboxane A2 receptor β-isoform in the pathogenesis of intrauterine growth restriction. Scientific Reports. 6(1). 28811–28811. 7 indexed citations

16.

Upton, Dannielle, et al.. (2016). Elevated expression of the Sertoli cell androgen receptor disrupts male fertility. American Journal of Physiology-Endocrinology and Metabolism. 311(2). E396–E404. 11 indexed citations

17.

Upton, Dannielle, Emily Fuller, Emily K. Colvin, et al.. (2015). Granulosa Cell-Specific Brca1 Loss Alone or Combined with Trp53 Haploinsufficiency and Transgenic FSH Expression Fails to Induce Ovarian Tumors. Hormones and Cancer. 6(4). 142–152. 1 indexed citations

18.

Upton, Dannielle, et al.. (2014). In Vivo Actions of the Sertoli Cell Glucocorticoid Receptor. Endocrinology. 155(3). 1120–1130. 43 indexed citations

19.

Corcoran, Lisa, et al.. (2012). Temporal Role of Sertoli Cell Androgen Receptor Expression in Spermatogenic Development. Molecular Endocrinology. 27(1). 12–24. 68 indexed citations

20.

Shoemaker, DeWayne, et al.. (1980). Effect of hepatic microsomal enzyme inducers on the metabolism of misonidazole in rats.. PubMed. 64(2-3). 275–7. 1 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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