Roderick Bronson

2.1k total citations
19 papers, 1.6k citations indexed

About

Roderick Bronson is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Roderick Bronson has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Roderick Bronson's work include Protein Tyrosine Phosphatases (3 papers), Galectins and Cancer Biology (3 papers) and Tuberous Sclerosis Complex Research (2 papers). Roderick Bronson is often cited by papers focused on Protein Tyrosine Phosphatases (3 papers), Galectins and Cancer Biology (3 papers) and Tuberous Sclerosis Complex Research (2 papers). Roderick Bronson collaborates with scholars based in United States, Canada and United Kingdom. Roderick Bronson's co-authors include Evelyn A. Kurt‐Jones, Melvin Chan, Robert W. Finberg, Jennifer Wang, Shenghua Zhou, George Reed, Michelle M. Arnold, David M. Knipe, David M. Feldser and Monte M. Winslow and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Roderick Bronson

19 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roderick Bronson United States 14 744 503 375 371 254 19 1.6k
Viktor Wixler Germany 26 1.2k 1.6× 612 1.2× 264 0.7× 331 0.9× 281 1.1× 55 2.0k
Esther Caparrós Spain 20 1.1k 1.4× 663 1.3× 166 0.4× 365 1.0× 217 0.9× 34 2.4k
Masaya Higuchi Japan 27 796 1.1× 1.2k 2.4× 222 0.6× 285 0.8× 551 2.2× 78 2.5k
Kunio Tsujimura Japan 31 1.1k 1.4× 1.4k 2.7× 488 1.3× 403 1.1× 481 1.9× 84 2.7k
Penny P. Powell United Kingdom 24 670 0.9× 395 0.8× 219 0.6× 313 0.8× 95 0.4× 42 1.8k
Arata Takeuchi Japan 18 689 0.9× 1.1k 2.2× 148 0.4× 220 0.6× 351 1.4× 32 1.9k
Marlieke L.M. Jongsma Netherlands 16 994 1.3× 1.3k 2.6× 333 0.9× 329 0.9× 495 1.9× 26 2.4k
Pietro Transidico Italy 16 757 1.0× 655 1.3× 454 1.2× 137 0.4× 411 1.6× 19 2.0k
Paul Meraner United States 18 809 1.1× 680 1.4× 119 0.3× 332 0.9× 520 2.0× 21 2.3k
Jorge L. Martínez‐Torrecuadrada Spain 32 1.2k 1.6× 675 1.3× 113 0.3× 266 0.7× 467 1.8× 62 2.7k

Countries citing papers authored by Roderick Bronson

Since Specialization
Citations

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

Fields of papers citing papers by Roderick Bronson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roderick Bronson

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

All Works

19 of 19 papers shown
1.
2.
Du, Heng, et al.. (2018). A novel mouse model of hemangiopericytoma due to loss of Tsc2. Human Molecular Genetics. 27(24). 4169–4175. 6 indexed citations
3.
Taniguchi, Cullen M., Tatsuya Kondo, Mini P. Sajan, et al.. (2016). Divergent Regulation of Hepatic Glucose and Lipid Metabolism by Phosphoinositide 3-Kinase via Akt and PKCλ/ζ. Cell Metabolism. 23(2). 386–386. 1 indexed citations
4.
Lauriol, Jessica, Ashbeel Roy, Kimberly Keith, et al.. (2016). Developmental SHP2 dysfunction underlies cardiac hypertrophy in Noonan syndrome with multiple lentigines. Journal of Clinical Investigation. 126(8). 2989–3005. 28 indexed citations
5.
Wang, Jianxun, Masayuki Mizui, Li‐Fan Zeng, et al.. (2016). Inhibition of SHP2 ameliorates the pathogenesis of systemic lupus erythematosus. Journal of Clinical Investigation. 126(6). 2077–2092. 50 indexed citations
6.
Prabhakar, Shilpa, Xuan Zhang, June Goto, et al.. (2015). Survival benefit and phenotypic improvement by hamartin gene therapy in a tuberous sclerosis mouse brain model. Neurobiology of Disease. 82. 22–31. 14 indexed citations
7.
Prabhakar, Shilpa, June Goto, Miguel Sena‐Esteves, et al.. (2013). Stochastic Model of Tsc1 Lesions in Mouse Brain. PLoS ONE. 8(5). e64224–e64224. 14 indexed citations
8.
9.
Xue, Wen, Etienne Meylan, Trudy G. Oliver, et al.. (2011). Response and Resistance to NF-κB Inhibitors in Mouse Models of Lung Adenocarcinoma. Cancer Discovery. 1(3). 236–247. 109 indexed citations
10.
Sundberg, John P., Annerose Berndt, Beth A. Sundberg, et al.. (2011). The mouse as a model for understanding chronic diseases of aging: the histopathologic basis of aging in inbred mice. PubMed. 1(1). 7179–7179. 65 indexed citations
11.
Feldser, David M., Kamena K. Kostova, Monte M. Winslow, et al.. (2010). Stage-specific sensitivity to p53 restoration during lung cancer progression. Nature. 468(7323). 572–575. 221 indexed citations
12.
Glover, Louise, Kimberly P. Newton, Gomathi Krishnan, et al.. (2009). Dysferlin overexpression in skeletal muscle produces a progressive myopathy. Annals of Neurology. 67(3). 384–393. 30 indexed citations
13.
Jin, Natsuko, Clement Y. Chow, Li Liu, et al.. (2008). VAC14 nucleates a protein complex essential for the acute interconversion of PI3P and PI(3,5)P2 in yeast and mouse. The EMBO Journal. 27(24). 3221–3234. 187 indexed citations
14.
Kurt‐Jones, Evelyn A., Melvin Chan, Shenghua Zhou, et al.. (2004). Herpes simplex virus 1 interaction with Toll-like receptor 2 contributes to lethal encephalitis. Proceedings of the National Academy of Sciences. 101(5). 1315–1320. 490 indexed citations
15.
Herradón, Gonzalo, Laura Ezquerra, Trang Nguyen, et al.. (2004). Pleiotrophin is an important regulator of the renin–angiotensin system in mouse aorta. Biochemical and Biophysical Research Communications. 324(3). 1041–1047. 22 indexed citations
16.
Ezquerra, Laura, Gonzalo Herradón, Trang Nguyen, et al.. (2004). Pleiotrophin is a major regulator of the catecholamine biosynthesis pathway in mouse aorta. Biochemical and Biophysical Research Communications. 323(2). 512–517. 17 indexed citations
17.
Su, Yanli, Julie Koeman, Lingmei Wang, et al.. (2004). Activating Met mutations produce unique tumor profiles in mice with selective duplication of the mutant allele. Proceedings of the National Academy of Sciences. 101(49). 17198–17203. 86 indexed citations
18.
Snapper, Scott B., Fuminao Takeshima, Inés M. Antón, et al.. (2001). N-WASP deficiency reveals distinct pathways for cell surface projections and microbial actin-based motility. Nature Cell Biology. 3(10). 897–904. 272 indexed citations
19.
Bronson, Roderick, et al.. (1972). Involution of placental site and corpus luteum in the monkey. American Journal of Obstetrics and Gynecology. 113(1). 70–75. 2 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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