Gary Brodsky

1.8k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Gary Brodsky is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Gary Brodsky has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Immunology. Recurrent topics in Gary Brodsky's work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers) and Biochemical and Molecular Research (3 papers). Gary Brodsky is often cited by papers focused on Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers) and Biochemical and Molecular Research (3 papers). Gary Brodsky collaborates with scholars based in United States, Italy and Canada. Gary Brodsky's co-authors include Mark W. Rolfe, Gary Chrebet, Rodney Rothstein, John W. Wallis, Luisa Mestroni, Gianfranco Sinagra, Caroline A. Sewry, Francesco Muntoni, Snježana Miočiċ and Michael R. Bristow and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Circulation.

In The Last Decade

Gary Brodsky

20 papers receiving 1.4k citations

Hit Papers

A hyper-recombination mutation in S. cerevisiae identifie... 1989 2026 2001 2013 1989 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Brodsky United States 11 1.0k 341 134 124 80 20 1.4k
Karin Effertz Germany 8 787 0.8× 237 0.7× 66 0.5× 52 0.4× 28 0.3× 8 1.1k
Hiroko Nagase United States 12 623 0.6× 68 0.2× 41 0.3× 44 0.4× 29 0.4× 14 1.1k
Fábio V. Fonseca United States 12 279 0.3× 109 0.3× 35 0.3× 22 0.2× 89 1.1× 18 715
Caitlin Hall United Kingdom 8 580 0.6× 91 0.3× 106 0.8× 40 0.3× 13 0.2× 13 961
Paul F. Erickson United States 13 608 0.6× 54 0.2× 95 0.7× 14 0.1× 28 0.3× 16 975
Elayanambi Sundaramoorthy United States 12 661 0.7× 48 0.1× 78 0.6× 19 0.2× 121 1.5× 15 873
Martine Le Cunff France 14 471 0.5× 100 0.3× 82 0.6× 20 0.2× 23 0.3× 19 796
Xianming Kong United States 6 830 0.8× 94 0.3× 112 0.8× 17 0.1× 11 0.1× 6 984
Jihong Chen Canada 18 677 0.7× 76 0.2× 51 0.4× 17 0.1× 12 0.1× 50 915
Ziyou Cui United States 17 551 0.5× 67 0.2× 76 0.6× 22 0.2× 10 0.1× 26 782

Countries citing papers authored by Gary Brodsky

Since Specialization
Citations

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

Fields of papers citing papers by Gary Brodsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Brodsky

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

All Works

20 of 20 papers shown
1.
Kastelowitz, Noah, Ryo Tamura, Timothy J. Stalker, et al.. (2017). Peptides derived from MARCKS block coagulation complex assembly on phosphatidylserine. Scientific Reports. 7(1). 4275–4275. 11 indexed citations
2.
Maloney, James P., Brian R. Branchford, Gary Brodsky, et al.. (2017). The ENTPD1 promoter polymorphism −860 A > G (rs3814159) is associated with increased gene transcription, protein expression, CD39/NTPDase1 enzymatic activity, and thromboembolism risk. The FASEB Journal. 31(7). 2771–2784. 6 indexed citations
3.
Tomberg, Kärt, Rami Khoriaty, Randal J. Westrick, et al.. (2016). Spontaneous 8bp Deletion in Nbeal2 Recapitulates the Gray Platelet Syndrome in Mice. PLoS ONE. 11(3). e0150852–e0150852. 8 indexed citations
4.
Neeves, Keith B., et al.. (2013). Sources of Variability in Platelet Accumulation on Type 1 Fibrillar Collagen in Microfluidic Flow Assays. PLoS ONE. 8(1). e54680–e54680. 60 indexed citations
5.
Noetzli, Leila, Gary Brodsky, Jesse Hinckley, et al.. (2013). A novel mutation in PLP1 causes severe hereditary spastic paraplegia type 2. Gene. 533(1). 447–450. 9 indexed citations
6.
Keating, Amy K., Hongbing Jiang, Gary Brodsky, et al.. (2011). Constitutive induction of pro-inflammatory and chemotactic cytokines in cystathionine beta-synthase deficient homocystinuria. Molecular Genetics and Metabolism. 103(4). 330–337. 24 indexed citations
7.
Branchford, Brian R., Susan Sather, Gary Brodsky, et al.. (2011). Imer Blocks Phosphorylation of the β3 Integrin, Decreasing Platelet Activation Responses and Protecting Mice From Arterial Thrombosis. Blood. 118(21). 189–189. 1 indexed citations
8.
Maclean, Kenneth N., Jakub Sikora, Viktor Kožich, et al.. (2010). A novel transgenic mouse model of CBS-deficient homocystinuria does not incur hepatic steatosis or fibrosis and exhibits a hypercoagulative phenotype that is ameliorated by betaine treatment. Molecular Genetics and Metabolism. 101(2-3). 153–162. 55 indexed citations
9.
Knox, Aaron J., Christine M. Graham, John Bleskan, Gary Brodsky, & David Patterson. (2008). Mutations in the Chinese hamster ovary cell GART gene of de novo purine synthesis. Gene. 429(1-2). 23–30. 17 indexed citations
10.
Brodsky, Gary, et al.. (2007). The prelamin A pre-peptide induces cardiac and skeletal myoblast differentiation. Biochemical and Biophysical Research Communications. 356(4). 872–879. 7 indexed citations
11.
Taylor, Matthew R., Pamela R. Fain, Gianfranco Sinagra, et al.. (2003). Natural history of dilated cardiomyopathy due to lamin A/C gene mutations. Journal of the American College of Cardiology. 41(5). 771–780. 325 indexed citations
12.
Bohlmeyer, Teresa, Steve M. Helmke, Shuping Ge, et al.. (2003). Hypoplastic left heart syndrome myocytes are differentiated but possess a unique phenotype. Cardiovascular Pathology. 12(1). 23–31. 36 indexed citations
13.
Sinagra, Gianfranco, Andrea Di Lenarda, Gary Brodsky, et al.. (2001). Current perspective new insights into the molecular basis of familial dilated cardiomyopathy.. PubMed. 2(4). 280–6. 18 indexed citations
14.
Brodsky, Gary, Francesco Muntoni, Snježana Miočiċ, et al.. (2000). Lamin A/C Gene Mutation Associated With Dilated Cardiomyopathy With Variable Skeletal Muscle Involvement. Circulation. 101(5). 473–476. 253 indexed citations
15.
Zolty, Ronald, Gary Brodsky, M. Benjamin Perryman, Michael R. Bristow, & Luisa Mestroni. (1999). Epidemiology of cardiac actin gene mutations in dilated cardiomyopathy. Journal of Cardiac Failure. 5(3). 23–23. 7 indexed citations
17.
Brodsky, Gary, et al.. (1995). Development of a Mouse Model for the Study of Human Purine Metabolism. Advances in experimental medicine and biology. 370. 517–521. 2 indexed citations
18.
Brodsky, Gary, et al.. (1995). Localization of STCH to Human Chromosome 21q11.1. Genomics. 30(3). 627–628. 9 indexed citations
19.
Wallis, John W., Gary Chrebet, Gary Brodsky, Mark W. Rolfe, & Rodney Rothstein. (1989). A hyper-recombination mutation in S. cerevisiae identifies a novel eukaryotic topoisomerase. Cell. 58(2). 409–419. 484 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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