Thomas G. Fazzio

4.2k total citations
43 papers, 3.0k citations indexed

About

Thomas G. Fazzio is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Thomas G. Fazzio has authored 43 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Thomas G. Fazzio's work include Genomics and Chromatin Dynamics (29 papers), CRISPR and Genetic Engineering (11 papers) and Epigenetics and DNA Methylation (9 papers). Thomas G. Fazzio is often cited by papers focused on Genomics and Chromatin Dynamics (29 papers), CRISPR and Genetic Engineering (11 papers) and Epigenetics and DNA Methylation (9 papers). Thomas G. Fazzio collaborates with scholars based in United States, Canada and United Kingdom. Thomas G. Fazzio's co-authors include Toshio Tsukiyama, Barbara Panning, Oliver J. Rando, Jason T. Huff, Sarah J. Hainer, Poshen B. Chen, Zhiping Weng, Jui‐Hung Hung, George M. Church and Ly-Sha Ee and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Thomas G. Fazzio

42 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas G. Fazzio United States 25 2.6k 315 262 201 163 43 3.0k
Gabriella Minchiotti Italy 34 2.3k 0.9× 205 0.7× 165 0.6× 378 1.9× 337 2.1× 81 3.0k
Rika Suzuki Japan 18 1.6k 0.6× 696 2.2× 141 0.5× 108 0.5× 99 0.6× 57 2.3k
Dahai Zhu China 24 1.6k 0.6× 185 0.6× 111 0.4× 595 3.0× 80 0.5× 55 2.0k
Bernard Jost France 27 1.6k 0.6× 434 1.4× 219 0.8× 297 1.5× 226 1.4× 48 2.3k
Elsa Logarinho Portugal 24 1.3k 0.5× 154 0.5× 270 1.0× 182 0.9× 178 1.1× 45 1.8k
Leah A. Vardy Singapore 26 2.2k 0.8× 107 0.3× 161 0.6× 448 2.2× 126 0.8× 45 2.5k
Christine Mayer Germany 23 2.6k 1.0× 339 1.1× 183 0.7× 502 2.5× 358 2.2× 44 3.2k
Eyal Bengal Israel 29 2.6k 1.0× 361 1.1× 74 0.3× 376 1.9× 336 2.1× 45 3.1k
Shintaro Katayama Sweden 31 2.9k 1.1× 403 1.3× 180 0.7× 1.3k 6.2× 161 1.0× 89 4.0k

Countries citing papers authored by Thomas G. Fazzio

Since Specialization
Citations

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

Fields of papers citing papers by Thomas G. Fazzio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas G. Fazzio

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Fazzio. A scholar is included among the top collaborators of Thomas G. Fazzio 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 Thomas G. Fazzio. Thomas G. Fazzio 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.
Li, Rui, et al.. (2023). Phosphosite Scanning reveals a complex phosphorylation code underlying CDK-dependent activation of Hcm1. Nature Communications. 14(1). 310–310. 5 indexed citations
2.
Godbole, Adwait Anand, Sneha Gopalan, Caroline A. Lewis, et al.. (2023). S-adenosylmethionine synthases specify distinct H3K4me3 populations and gene expression patterns during heat stress. eLife. 12. 8 indexed citations
3.
Yin, Qiangzong, Chih-Hsiang Yang, Olga Strelkova, et al.. (2023). Revisiting chromatin packaging in mouse sperm. Genome Research. 33(12). 2079–2093. 19 indexed citations
4.
Wu, Tong, et al.. (2022). TAF4b transcription networks regulating early oocyte differentiation. Development. 149(3). 6 indexed citations
5.
Gopalan, Sneha, Yuqing Wang, Nicholas W. Harper, Manuel Garber, & Thomas G. Fazzio. (2021). Simultaneous profiling of multiple chromatin proteins in the same cells. Molecular Cell. 81(22). 4736–4746.e5. 66 indexed citations
6.
Wu, Tong, et al.. (2021). Characterization of R-Loop–Interacting Proteins in Embryonic Stem Cells Reveals Roles in rRNA Processing and Gene Expression. Molecular & Cellular Proteomics. 20. 100142–100142. 17 indexed citations
7.
Hainer, Sarah J., et al.. (2019). Profiling of Pluripotency Factors in Single Cells and Early Embryos. Cell. 177(5). 1319–1329.e11. 137 indexed citations
8.
Amrani, Nadia, Xin D. Gao, Pengpeng Liu, et al.. (2018). NmeCas9 is an intrinsically high-fidelity genome-editing platform. Genome biology. 19(1). 214–214. 96 indexed citations
9.
Tie, Guodong, Jinglian Yan, Lyne Khair, et al.. (2017). Hypercholesterolemia Increases Colorectal Cancer Incidence by Reducing Production of NKT and γδ T Cells from Hematopoietic Stem Cells. Cancer Research. 77(9). 2351–2362. 57 indexed citations
10.
Wang, Feng, Ana Bošković, Xiaochun Zhu, et al.. (2017). Rlim-Dependent and -Independent Pathways for X Chromosome Inactivation in Female ESCs. Cell Reports. 21(13). 3691–3699. 17 indexed citations
11.
Hainer, Sarah J., Weifeng Gu, Benjamin R. Carone, et al.. (2015). Suppression of pervasive noncoding transcription in embryonic stem cells by esBAF. Genes & Development. 29(4). 362–378. 61 indexed citations
12.
Carone, Benjamin R., Jui‐Hung Hung, Sarah J. Hainer, et al.. (2014). High-Resolution Mapping of Chromatin Packaging in Mouse Embryonic Stem Cells and Sperm. Developmental Cell. 30(1). 11–22. 173 indexed citations
13.
Chen, Poshen B., et al.. (2014). Unbiased chromatin accessibility profiling by RED-seq uncovers unique features of nucleosome variants in vivo. BMC Genomics. 15(1). 1104–1104. 13 indexed citations
14.
Fazzio, Thomas G. & Barbara Panning. (2010). Control of embryonic stem cell identity by nucleosome remodeling enzymes. Current Opinion in Genetics & Development. 20(5). 500–504. 11 indexed citations
15.
Nusinow, Dmitri A., Inmaculada Hernández‐Muñoz, Thomas G. Fazzio, et al.. (2007). Poly(ADP-ribose) Polymerase 1 Is Inhibited by a Histone H2A Variant, MacroH2A, and Contributes to Silencing of the Inactive X Chromosome. Journal of Biological Chemistry. 282(17). 12851–12859. 92 indexed citations
16.
Price-Carter, Marian, et al.. (2005). Polyphosphate Kinase Protects Salmonella enterica from Weak Organic Acid Stress. Journal of Bacteriology. 187(9). 3088–3099. 36 indexed citations
17.
Tsukiyama, Toshio & Thomas G. Fazzio. (2003). Chromatin Remodeling In Vivo: Evidence for a Nucleosome Sliding Mechanism.: Evidence for a Nucleosome Sliding Mechanism.. Molecular Cell. 11(5). 1333.
18.
Vary, Jay C., Thomas G. Fazzio, & Toshio Tsukiyama. (2003). Assembly of Yeast Chromatin Using ISWI Complexes. Methods in enzymology on CD-ROM/Methods in enzymology. 375. 88–102. 40 indexed citations
19.
Fazzio, Thomas G. & Toshio Tsukiyama. (2003). Chromatin Remodeling In Vivo. Molecular Cell. 12(5). 1333–1340. 96 indexed citations
20.
Fazzio, Thomas G., et al.. (2000). The Isw2 Chromatin Remodeling Complex Represses Early Meiotic Genes upon Recruitment by Ume6p. Cell. 103(3). 423–433. 254 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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