Rhonda L. Brown

960 total citations · 1 hit paper
6 papers, 743 citations indexed

About

Rhonda L. Brown is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Rhonda L. Brown has authored 6 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiation, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Rhonda L. Brown's work include Advanced Radiotherapy Techniques (3 papers), Radiation Dose and Imaging (3 papers) and Cancer Cells and Metastasis (2 papers). Rhonda L. Brown is often cited by papers focused on Advanced Radiotherapy Techniques (3 papers), Radiation Dose and Imaging (3 papers) and Cancer Cells and Metastasis (2 papers). Rhonda L. Brown collaborates with scholars based in United States and Australia. Rhonda L. Brown's co-authors include Chonghui Cheng, Jing Yang, Lauren M. Reinke, Denise Perez, Lewis A. Chodosh, Yong Wei, Sali Liu, Hira Lal Goel, Xin D. Gao and Arthur M. Mercurio and has published in prestigious journals such as Journal of Clinical Investigation, Genes & Development and Cancer Research.

In The Last Decade

Rhonda L. Brown

6 papers receiving 739 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.

CD44 splice isoform switching in human and mouse epithelium is essential for epithelial-mesenchymal transition and breast cancer progression

2011 502 citations Rhonda L. Brown, Lauren M. Reinke et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rhonda L. Brown United States	6	516	293	188	175	71	6	743
Jian Xie China	10	365 0.7×	154 0.5×	234 1.2×	25 0.1×	56 0.8×	19	512
Linda Fabris United States	14	581 1.1×	196 0.7×	477 2.5×	75 0.4×	112 1.6×	19	803
Yantian Fang China	14	434 0.8×	155 0.5×	356 1.9×	52 0.3×	60 0.8×	23	641
Kazuaki Fushimi Japan	15	333 0.6×	135 0.5×	131 0.7×	59 0.3×	68 1.0×	22	486
Miyako Kondoh Japan	9	462 0.9×	173 0.6×	327 1.7×	77 0.4×	69 1.0×	14	637
Lanping Quan China	17	565 1.1×	210 0.7×	179 1.0×	131 0.7×	74 1.0×	21	774
Christopher R. Shepard United States	4	412 0.8×	411 1.4×	190 1.0×	85 0.5×	112 1.6×	4	735
Shuping Yin United States	11	438 0.8×	217 0.7×	294 1.6×	53 0.3×	48 0.7×	16	664
Arulselvi Anbalagan United States	8	222 0.4×	203 0.7×	175 0.9×	74 0.4×	61 0.9×	10	486
Matthew D. Nitz United States	9	378 0.7×	232 0.8×	141 0.8×	104 0.6×	214 3.0×	10	739

Countries citing papers authored by Rhonda L. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Rhonda L. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rhonda L. Brown. 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 Rhonda L. Brown. The network helps show where Rhonda L. Brown may publish in the future.

Co-authorship network of co-authors of Rhonda L. Brown

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

All Works

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6 of 6 papers shown

1.

Lye, Jessica, Andrew Alves, M. Hanlon, et al.. (2021). Measuring the dose in bone for spine stereotactic body radiotherapy. Physica Medica. 84. 265–273. 9 indexed citations

2.

Lye, Jessica, Andrew Alves, Jöerg Lehmann, et al.. (2021). Characterisation of a synthetic diamond detector for end-to-end dosimetry in stereotactic body radiotherapy and radiosurgery. Physics and Imaging in Radiation Oncology. 20. 40–45. 13 indexed citations

3.

Zhang, Honghong, Rhonda L. Brown, Yong Wei, et al.. (2019). CD44 splice isoform switching determines breast cancer stem cell state. Genes & Development. 33(3-4). 166–179. 165 indexed citations

4.

Brown, Rhonda L., Lauren M. Reinke, Denise Perez, et al.. (2011). CD44 splice isoform switching in human and mouse epithelium is essential for epithelial-mesenchymal transition and breast cancer progression. Journal of Clinical Investigation. 121(3). 1064–1074. 502 indexed citations breakdown →

5.

Brown, Rhonda L. & Duncan Butler. (2010). The 2009 survey of therapy equipment and dosimetry practices in Australian radiotherapy centres*. Australasian Physical & Engineering Sciences in Medicine. 33(3). 285–297. 9 indexed citations

6.

Lee, Bao‐Shiang, Hengbing Wang, Rhonda L. Brown, et al.. (2009). Molecular Consequences of Genetic Variations in the Glutathione Peroxidase 1 Selenoenzyme. Cancer Research. 69(20). 8183–8190. 45 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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