Gillian Browne

2.2k total citations · 1 hit paper
14 papers, 1.7k citations indexed

About

Gillian Browne is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Gillian Browne has authored 14 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Gillian Browne's work include Bone Metabolism and Diseases (3 papers), MicroRNA in disease regulation (3 papers) and NF-κB Signaling Pathways (3 papers). Gillian Browne is often cited by papers focused on Bone Metabolism and Diseases (3 papers), MicroRNA in disease regulation (3 papers) and NF-κB Signaling Pathways (3 papers). Gillian Browne collaborates with scholars based in United States, Germany and United Kingdom. Gillian Browne's co-authors include David Eliezer, Robert H. Bussell, Jane B. Lian, Janet L. Stein, Gary S. Stein, André J. van Wijnen, Hanna Taipaleenmäki, Terri Messier, Coralee E. Tye and Jacqueline Akech and has published in prestigious journals such as Journal of Molecular Biology, Cancer Research and British Journal of Cancer.

In The Last Decade

Gillian Browne

14 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Conformational properties of α-synuclein in its free and lipid-associated states 1 1Edited by P. E. Wright

2001 905 citations David Eliezer, Robert H. Bussell et al. Journal of Molecular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gillian Browne United States	14	924	671	464	328	208	14	1.7k
Jee Young Sung South Korea	19	888 1.0×	416 0.6×	316 0.7×	299 0.9×	291 1.4×	39	1.8k
Ifat Bar-Joseph United States	10	615 0.7×	497 0.7×	300 0.6×	113 0.3×	153 0.7×	12	1.3k
Irina Lonskaya United States	19	642 0.7×	502 0.7×	327 0.7×	85 0.3×	284 1.4×	21	1.5k
Annora Thoeng Australia	16	1.3k 1.4×	381 0.6×	122 0.3×	508 1.5×	153 0.7×	18	1.8k
Edward V. Wancewicz United States	19	2.1k 2.3×	847 1.3×	203 0.4×	240 0.7×	114 0.5×	25	2.8k
Aimin Li China	18	1.0k 1.1×	168 0.3×	563 1.2×	259 0.8×	155 0.7×	33	1.6k
Yaacov Hod United States	12	965 1.0×	301 0.4×	172 0.4×	118 0.4×	201 1.0×	14	1.5k
Ya-Fei Xu United States	22	1.9k 2.1×	2.2k 3.2×	739 1.6×	231 0.7×	230 1.1×	30	3.6k
Rajappa S. Kenchappa United States	27	1.1k 1.2×	191 0.3×	133 0.3×	413 1.3×	223 1.1×	56	2.2k
Mónica Báñez-Coronel Spain	18	1.7k 1.8×	588 0.9×	103 0.2×	543 1.7×	121 0.6×	21	2.2k

Countries citing papers authored by Gillian Browne

Since Specialization

Citations

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

Fields of papers citing papers by Gillian Browne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gillian Browne

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

All Works

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14 of 14 papers shown

Hong, Deli, Terri Messier, Coralee E. Tye, et al.. (2017). Runx1 stabilizes the mammary epithelial cell phenotype and prevents epithelial to mesenchymal transition. Oncotarget. 8(11). 17610–17627. 43 indexed citations

Browne, Gillian, Julie A. Dragon, Deli Hong, et al.. (2016). MicroRNA-378-mediated suppression of Runx1 alleviates the aggressive phenotype of triple-negative MDA-MB-231 human breast cancer cells. Tumor Biology. 37(7). 8825–8839. 40 indexed citations

Messier, Terri, Jonathan A. R. Gordon, Joseph R. Boyd, et al.. (2016). Histone H3 lysine 4 acetylation and methylation dynamics define breast cancer subtypes. Oncotarget. 7(5). 5094–5109. 81 indexed citations

Taipaleenmäki, Hanna, Gillian Browne, Jacqueline Akech, et al.. (2015). Targeting of Runx2 by miR-135 and miR-203 Impairs Progression of Breast Cancer and Metastatic Bone Disease. Cancer Research. 75(7). 1433–1444. 144 indexed citations

Browne, Gillian, Hanna Taipaleenmäki, Nicole Bishop, et al.. (2015). Runx1 is associated with breast cancer progression in MMTV‐PyMT transgenic mice and its depletion in vitro inhibits migration and invasion. Journal of Cellular Physiology. 230(10). 2522–2532. 56 indexed citations

Nesbitt, Heather, Gillian Browne, Niall M. Byrne, et al.. (2015). Nitric Oxide Up‐Regulates RUNX2 in LNCaP Prostate Tumours: Implications for Tumour Growth In Vitro and In Vivo. Journal of Cellular Physiology. 231(2). 473–482. 16 indexed citations

Barutcu, A. Rasim, Bryan R. Lajoie, Rachel Patton McCord, et al.. (2015). Chromatin interaction analysis reveals changes in small chromosome and telomere clustering between epithelial and breast cancer cells. Genome biology. 16(1). 214–214. 162 indexed citations

Wu, Qiong, Jacqueline Akech, Jason R. Dobson, et al.. (2015). The SWI/SNF ATPases Are Required for Triple Negative Breast Cancer Cell Proliferation. Journal of Cellular Physiology. 230(11). 2683–2694. 52 indexed citations

Zhang, Xuhui, Hai Wu, Jason R. Dobson, et al.. (2015). Expression of the IL‐11 Gene in Metastatic Cells Is Supported by Runx2‐Smad and Runx2‐cJun Complexes Induced by TGFβ1. Journal of Cellular Biochemistry. 116(9). 2098–2108. 28 indexed citations

10.

Browne, Gillian, Hanna Taipaleenmäki, Gary S. Stein, Janet L. Stein, & Jane B. Lian. (2014). MicroRNAs in the control of metastatic bone disease. Trends in Endocrinology and Metabolism. 25(6). 320–327. 59 indexed citations

11.

Zhang, Xuhui, Jacqueline Akech, Gillian Browne, et al.. (2014). Runx2–smad signaling impacts the progression of tumor‐induced bone disease. International Journal of Cancer. 136(6). 1321–1332. 27 indexed citations

12.

Pande, Sandhya, Gillian Browne, Srivatsan Padmanabhan, et al.. (2013). Oncogenic cooperation between PI3K/Akt signaling and transcription factor Runx2 promotes the invasive properties of metastatic breast cancer cells. Journal of Cellular Physiology. 228(8). 1784–1792. 53 indexed citations

13.

Browne, Gillian, et al.. (2012). Bicalutamide-induced hypoxia potentiates RUNX2-mediated Bcl-2 expression resulting in apoptosis resistance. British Journal of Cancer. 107(10). 1714–1721. 36 indexed citations

14.

Eliezer, David, et al.. (2001). Conformational properties of α-synuclein in its free and lipid-associated states 1 1Edited by P. E. Wright. Journal of Molecular Biology. 307(4). 1061–1073. 905 indexed citations breakdown →

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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