Brad A. Friedman

6.0k total citations · 1 hit paper
39 papers, 3.6k citations indexed

About

Brad A. Friedman is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Brad A. Friedman has authored 39 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Neurology and 9 papers in Immunology. Recurrent topics in Brad A. Friedman's work include Neuroinflammation and Neurodegeneration Mechanisms (13 papers), RNA Research and Splicing (8 papers) and Alzheimer's disease research and treatments (6 papers). Brad A. Friedman is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (13 papers), RNA Research and Splicing (8 papers) and Alzheimer's disease research and treatments (6 papers). Brad A. Friedman collaborates with scholars based in United States, France and Singapore. Brad A. Friedman's co-authors include Zora Modrušan, Karpagam Srinivasan, Matthew H. Bailey, Morgan Sheng, Melanie A. Huntley, Hai Ngu, Oded Foreman, Marcel P. van der Brug, William J. Meilandt and Joshua S. Kaminker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Brad A. Friedman

38 papers receiving 3.5k citations

Hit Papers

Diverse Brain Myeloid Expression Profiles Reveal Distinct... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Brad A. Friedman
Inge R. Holtman Netherlands
Michael A. Wheeler United States
Kevin Nash United States
Payam Rezaie United Kingdom
Samuel E. Marsh United States
Karpagam Srinivasan United States
Brad A. Friedman
Citations per year, relative to Brad A. Friedman Brad A. Friedman (= 1×) peers Renzo Mancuso

Countries citing papers authored by Brad A. Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Brad A. Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brad A. Friedman

This figure shows the co-authorship network connecting the top 25 collaborators of Brad A. Friedman. A scholar is included among the top collaborators of Brad A. Friedman 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 A. Friedman. Brad A. Friedman 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
2.
Wu, Tiffany, Ming‐Chi Tsai, Mitchell G. Rezzonico, et al.. (2023). TPL2 kinase activity regulates microglial inflammatory responses and promotes neurodegeneration in tauopathy mice. eLife. 12. 5 indexed citations
3.
Lee, Seung-Hye, Mitchell G. Rezzonico, Brad A. Friedman, et al.. (2021). TREM2-independent oligodendrocyte, astrocyte, and T cell responses to tau and amyloid pathology in mouse models of Alzheimer disease. Cell Reports. 37(13). 110158–110158. 50 indexed citations
4.
Shen, Kimberle, Mike Reichelt, Hai Ngu, et al.. (2021). Multiple sclerosis risk gene Mertk is required for microglial activation and subsequent remyelination. Cell Reports. 34(10). 108835–108835. 80 indexed citations
5.
Srinivasan, Karpagam, Brad A. Friedman, Ainhoa Etxeberría, et al.. (2020). Alzheimer’s Patient Microglia Exhibit Enhanced Aging and Unique Transcriptional Activation. Cell Reports. 31(13). 107843–107843. 240 indexed citations
6.
Huntley, Melanie A., Karpagam Srinivasan, Brad A. Friedman, et al.. (2019). Genome-Wide Analysis of Differential Gene Expression and Splicing in Excitatory Neurons and Interneuron Subtypes. Journal of Neuroscience. 40(5). 958–973. 49 indexed citations
7.
Chen, Hsu-Hsin, Peter Liu, Seung-Hye Lee, et al.. (2018). Calpain-mediated tau fragmentation is altered in Alzheimer’s disease progression. Scientific Reports. 8(1). 16725–16725. 37 indexed citations
8.
Chang, Michael, Karpagam Srinivasan, Brad A. Friedman, et al.. (2017). Progranulin deficiency causes impairment of autophagy and TDP-43 accumulation. The Journal of Experimental Medicine. 214(9). 2611–2628. 96 indexed citations
9.
Wong, Kit Hong, Rajkumar Noubade, Paolo Manzanillo, et al.. (2017). Mice deficient in NRROS show abnormal microglial development and neurological disorders. Nature Immunology. 18(6). 633–641. 48 indexed citations
10.
Chen, Ying-Jiun J., Brad A. Friedman, Connie Ha, et al.. (2017). Single-cell RNA sequencing identifies distinct mouse medial ganglionic eminence cell types. Scientific Reports. 7(1). 45656–45656. 52 indexed citations
11.
Yap, Karen, Yixin Xiao, Brad A. Friedman, H. Shawn Je, & Eugene V. Makeyev. (2016). Polarizing the Neuron through Sustained Co-expression of Alternatively Spliced Isoforms. Cell Reports. 15(6). 1316–1328. 43 indexed citations
12.
Srinivasan, Karpagam, Brad A. Friedman, Jessica L. Larson, et al.. (2016). Untangling the brain’s neuroinflammatory and neurodegenerative transcriptional responses. Nature Communications. 7(1). 11295–11295. 244 indexed citations
13.
Asundi, Jyoti, Lisa Crocker, Jarrod R. Tremayne, et al.. (2015). An Antibody–Drug Conjugate Directed against Lymphocyte Antigen 6 Complex, Locus E (LY6E) Provides Robust Tumor Killing in a Wide Range of Solid Tumor Malignancies. Clinical Cancer Research. 21(14). 3252–3262. 28 indexed citations
14.
Solloway, Mark J., Azadeh Madjidi, Chunyan Gu, et al.. (2015). Glucagon Couples Hepatic Amino Acid Catabolism to mTOR-Dependent Regulation of α-Cell Mass. Cell Reports. 12(3). 495–510. 144 indexed citations
15.
Bilican, Bilada, Andrea Serio, Sami J. Barmada, et al.. (2012). Mutant induced pluripotent stem cell lines recapitulate aspects of TDP-43 proteinopathies and reveal cell-specific vulnerability. Proceedings of the National Academy of Sciences. 109(15). 5803–5808. 257 indexed citations
16.
Chen, Weisheng V., Francisco J. Álvarez, Julie L. Lefebvre, et al.. (2012). Functional Significance of Isoform Diversification in the Protocadherin Gamma Gene Cluster. Neuron. 75(5). 928–929. 2 indexed citations
17.
Yap, Karen, et al.. (2012). Coordinated regulation of neuronal mRNA steady-state levels through developmentally controlled intron retention. Genes & Development. 26(11). 1209–1223. 217 indexed citations
18.
Álvarez, Francisco J., Julie L. Lefebvre, Brad A. Friedman, et al.. (2012). Functional Significance of Isoform Diversification in the Protocadherin Gamma Gene Cluster. Neuron. 75(3). 402–409. 88 indexed citations
19.
Friedman, Brad A. & Tom Maniatis. (2011). ExpressionPlot: a web-based framework for analysis of RNA-Seq and microarray gene expression data. Genome biology. 12(7). R69–R69. 32 indexed citations
20.
Friedman, Brad A., Michael Stadler, Noam Shomron, Ye Ding, & Christopher B. Burge. (2008). Ab initio identification of functionally interacting pairs of cis-regulatory elements. Genome Research. 18(10). 1643–1651. 13 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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