Brad G. Hoffman

1.1k total citations
28 papers, 518 citations indexed

About

Brad G. Hoffman is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Brad G. Hoffman has authored 28 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Surgery and 10 papers in Genetics. Recurrent topics in Brad G. Hoffman's work include Pancreatic function and diabetes (16 papers), Epigenetics and DNA Methylation (8 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Brad G. Hoffman is often cited by papers focused on Pancreatic function and diabetes (16 papers), Epigenetics and DNA Methylation (8 papers) and Genetics and Neurodevelopmental Disorders (7 papers). Brad G. Hoffman collaborates with scholars based in Canada, United States and Spain. Brad G. Hoffman's co-authors include Cheryl D. Helgason, Steven J.M. Jones, Colette Breuil, Marta Szabat, Teresa Ruiz de Algara, James D. Johnson, Francis C. Lynn, Tianjiao Zhang, Douglas W. Allan and Timothy J. Kieffer and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Applied and Environmental Microbiology.

In The Last Decade

Brad G. Hoffman

28 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brad G. Hoffman Canada 13 336 217 166 70 35 28 518
Mayumi F. Miller United States 9 330 1.0× 144 0.7× 98 0.6× 49 0.7× 41 1.2× 13 480
David S.W. Boam United Kingdom 10 364 1.1× 238 1.1× 188 1.1× 61 0.9× 20 0.6× 18 503
Jee Yun Han South Korea 10 249 0.7× 131 0.6× 237 1.4× 88 1.3× 26 0.7× 12 558
Franziska Greulich Germany 15 494 1.5× 82 0.4× 93 0.6× 46 0.7× 25 0.7× 28 705
Eleonora de Klerk Netherlands 10 557 1.7× 76 0.4× 91 0.5× 43 0.6× 30 0.9× 13 707
Karen A. Schachter United States 9 384 1.1× 119 0.5× 123 0.7× 38 0.5× 24 0.7× 13 497
Tarja‐Leena Penttilä Finland 17 452 1.3× 48 0.2× 254 1.5× 61 0.9× 52 1.5× 23 828
Marc Giry-Laterrière Australia 11 243 0.7× 94 0.4× 49 0.3× 27 0.4× 31 0.9× 14 452
Sisi Lai China 8 479 1.4× 135 0.6× 209 1.3× 43 0.6× 15 0.4× 8 606
Tarjinder Singh United States 8 256 0.8× 322 1.5× 269 1.6× 130 1.9× 18 0.5× 16 629

Countries citing papers authored by Brad G. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Brad G. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brad G. Hoffman. 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 Brad G. Hoffman. The network helps show where Brad G. Hoffman may publish in the future.

Co-authorship network of co-authors of Brad G. Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Brad G. Hoffman. A scholar is included among the top collaborators of Brad G. Hoffman 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 Brad G. Hoffman. Brad G. Hoffman 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.
McDonald, Cassandra, et al.. (2021). H3K4 Trimethylation Is Required for Postnatal Pancreatic Endocrine Cell Functional Maturation. Diabetes. 70(11). 2568–2579. 6 indexed citations
2.
Chen, Yi‐Chun, Richard E. Mains, Betty Eipper, et al.. (2020). PAM haploinsufficiency does not accelerate the development of diet- and human IAPP-induced diabetes in mice. Diabetologia. 63(3). 561–576. 11 indexed citations
3.
McDonald, Cassandra, et al.. (2019). TrxG Complex Catalytic and Non-catalytic Activity Play Distinct Roles in Pancreas Progenitor Specification and Differentiation. Cell Reports. 28(7). 1830–1844.e6. 9 indexed citations
4.
Verchere, C. Bruce, et al.. (2016). Myt3 suppression sensitizes islet cells to high glucose-induced cell death via Bim induction. Cell Death and Disease. 7(5). e2233–e2233. 3 indexed citations
5.
Hoffman, Brad G., et al.. (2016). Chromatin Regulators in Pancreas Development and Diabetes. Trends in Endocrinology and Metabolism. 27(3). 142–152. 15 indexed citations
6.
Hoffman, Brad G., et al.. (2015). The TrxG Complex Mediates Cytokine Induced De Novo Enhancer Formation in Islets. PLoS ONE. 10(10). e0141470–e0141470. 10 indexed citations
7.
Zhang, Xuekui, Gordon Robertson, Sangsoon Woo, Brad G. Hoffman, & Raphaël Gottardo. (2012). Probabilistic Inference for Nucleosome Positioning with MNase-Based or Sonicated Short-Read Data. PLoS ONE. 7(2). e32095–e32095. 20 indexed citations
8.
Robertson, A. Gordon, Leping Li, Xuekui Zhang, et al.. (2012). Identification and analysis of murine pancreatic islet enhancers. Diabetologia. 56(3). 542–552. 45 indexed citations
9.
Hoffman, Brad G., et al.. (2012). The Transcription Factor Myt3 Acts as a Pro-Survival Factor in β-cells. PLoS ONE. 7(12). e51501–e51501. 11 indexed citations
10.
Yang, Yu Hsuan Carol, Marta Szabat, Katharine A. Kott, et al.. (2011). Paracrine signalling loops in adult human and mouse pancreatic islets: netrins modulate beta cell apoptosis signalling via dependence receptors. Diabetologia. 54(4). 828–842. 45 indexed citations
11.
Kim, Peter T. W., Brad G. Hoffman, Annette Plesner, et al.. (2010). Differentiation of Mouse Embryonic Stem Cells into Endoderm without Embryoid Body Formation. PLoS ONE. 5(11). e14146–e14146. 20 indexed citations
12.
Hoffman, Brad G. & Steven J.M. Jones. (2009). Genome-wide identification of DNA–protein interactions using chromatin immunoprecipitation coupled with flow cell sequencing. Journal of Endocrinology. 201(1). 1–13. 26 indexed citations
13.
Hoffman, Brad G., Teresa Ruiz de Algara, Pamela A. Hoodless, et al.. (2008). Identification of transcripts with enriched expression in the developing and adult pancreas. Genome biology. 9(6). R99–R99. 31 indexed citations
14.
Hoffman, Brad G., et al.. (2008). Expression of Groucho/TLE proteins during pancreas development. BMC Developmental Biology. 8(1). 81–81. 27 indexed citations
15.
16.
Kapanen, Anita I., Ghania Chikh, Brad G. Hoffman, et al.. (2008). Silencing Bcl-2 in models of mantle cell lymphoma is associated with decreases in cyclin D1, nuclear factor-κB, p53, bax, and p27 levels. Molecular Cancer Therapeutics. 7(4). 749–758. 38 indexed citations
17.
Zhang, Tianjiao, Brad G. Hoffman, Teresa Ruiz de Algara, & Cheryl D. Helgason. (2005). SAGE reveals expression of Wnt signalling pathway members during mouse prostate development. Gene Expression Patterns. 6(3). 310–324. 37 indexed citations
18.
Hoffman, Brad G., Kelly L. Williams, Amy H. Tien, et al.. (2005). Identification of novel genes and transcription factors involved in spleen, thymus and immunological development and function. Genes and Immunity. 7(2). 101–112. 10 indexed citations
19.
Hoffman, Brad G. & Colette Breuil. (2003). Analysis of the distribution and regulation of three representative subtilase genes in sapstaining fungi. Fungal Genetics and Biology. 41(2). 274–283. 7 indexed citations
20.
Hoffman, Brad G. & Colette Breuil. (2002). Cloning and genetic analysis of subtilases in sapstaining fungi. Current Genetics. 41(3). 168–175. 10 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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