Fade Gong

2.5k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

Fade Gong is a scholar working on Molecular Biology, Oncology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Fade Gong has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Fade Gong's work include DNA Repair Mechanisms (9 papers), Genomics and Chromatin Dynamics (9 papers) and Histone Deacetylase Inhibitors Research (5 papers). Fade Gong is often cited by papers focused on DNA Repair Mechanisms (9 papers), Genomics and Chromatin Dynamics (9 papers) and Histone Deacetylase Inhibitors Research (5 papers). Fade Gong collaborates with scholars based in United States, France and Canada. Fade Gong's co-authors include Kyle M. Miller, Eros Lazzerini Denchi, Agnel Sfeir, Nidhi Nair, Pedro A. Mateos‐Gómez, Li-Ya Chiu, Gaëlle Legube, Thomas Clouaire, Marion Aguirrebengoa and Justin Leung and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Fade Gong

16 papers receiving 1.7k citations

Hit Papers

Mammalian polymerase θ promotes alternative NHEJ and supp... 2015 2026 2018 2022 2015 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mammalian polymerase θ promotes alternative NHEJ and suppresses recombination
    2015 523 citations Pedro A. Mateos‐Gómez, Fade Gong et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fade Gong United States 14 1.5k 428 170 143 122 16 1.7k
Ye Xu United States 15 1.6k 1.1× 426 1.0× 165 1.0× 91 0.6× 84 0.7× 25 1.8k
Rajula Elango United States 10 1.3k 0.8× 351 0.8× 178 1.0× 148 1.0× 162 1.3× 12 1.4k
Christoffel Dinant Netherlands 19 1.6k 1.1× 375 0.9× 212 1.2× 136 1.0× 142 1.2× 27 1.8k
Leyma P. De Haro United States 7 1.3k 0.8× 379 0.9× 235 1.4× 169 1.2× 159 1.3× 10 1.5k
Beatrice Rondinelli United States 6 1.5k 1.0× 585 1.4× 202 1.2× 147 1.0× 214 1.8× 6 1.6k
Martin R.G. Taylor United Kingdom 8 1.6k 1.0× 452 1.1× 195 1.1× 137 1.0× 243 2.0× 9 1.7k
Marina K. Ayrapetov United States 13 1.3k 0.8× 316 0.7× 117 0.7× 89 0.6× 69 0.6× 21 1.4k
Antonis Kirmizis Cyprus 19 1.7k 1.1× 300 0.7× 174 1.0× 106 0.7× 170 1.4× 39 1.9k
Philippe Frit France 25 1.6k 1.1× 528 1.2× 271 1.6× 93 0.7× 131 1.1× 41 1.8k
Dongyi Xu China 20 1.7k 1.1× 569 1.3× 226 1.3× 135 0.9× 136 1.1× 31 1.8k

Countries citing papers authored by Fade Gong

Since Specialization
Citations

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

Fields of papers citing papers by Fade Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fade Gong

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

All Works

16 of 16 papers shown
1.
Sanchez, Anthony, Fade Gong, David Corujo, et al.. (2021). Poly(ADP-ribose) binding and macroH2A mediate recruitment and functions of KDM5A at DNA lesions. The Journal of Cell Biology. 220(7). 26 indexed citations
2.
Kim, Jae Jin, Seo Yun Lee, Fade Gong, et al.. (2019). Systematic bromodomain protein screens identify homologous recombination and R-loop suppression pathways involved in genome integrity. Genes & Development. 33(23-24). 1751–1774. 100 indexed citations
3.
Kim, Jae Jin, et al.. (2019). In Time and Space: Laser Microirradiation and the DNA Damage Response. Methods in molecular biology. 1999. 61–74. 7 indexed citations
4.
Dilworth, David, Fade Gong, Kyle M. Miller, & Christopher J. Nelson. (2019). FKBP25 participates in DNA double-strand break repair. Biochemistry and Cell Biology. 98(1). 42–49. 7 indexed citations
5.
Gong, Fade & Kyle M. Miller. (2018). Double duty: ZMYND8 in the DNA damage response and cancer. Cell Cycle. 17(4). 414–420. 23 indexed citations
6.
Chiu, Li-Ya, Fade Gong, & Kyle M. Miller. (2017). Bromodomain proteins: repairing DNA damage within chromatin. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1731). 20160286–20160286. 33 indexed citations
7.
Gong, Fade & Kyle M. Miller. (2017). Histone methylation and the DNA damage response. Mutation Research/Reviews in Mutation Research. 780. 37–47. 176 indexed citations
8.
Gong, Fade, Thomas Clouaire, Marion Aguirrebengoa, Gaëlle Legube, & Kyle M. Miller. (2017). Histone demethylase KDM5A regulates the ZMYND8–NuRD chromatin remodeler to promote DNA repair. The Journal of Cell Biology. 216(7). 1959–1974. 129 indexed citations
9.
Gong, Fade, Li-Ya Chiu, & Kyle M. Miller. (2016). Acetylation Reader Proteins: Linking Acetylation Signaling to Genome Maintenance and Cancer. PLoS Genetics. 12(9). e1006272–e1006272. 92 indexed citations
10.
Myler, Logan R., Iluminada Gallardo, Yi Zhou, et al.. (2016). Single-molecule imaging reveals the mechanism of Exo1 regulation by single-stranded DNA binding proteins. Proceedings of the National Academy of Sciences. 113(9). E1170–9. 76 indexed citations
11.
Mateos‐Gómez, Pedro A., Fade Gong, Nidhi Nair, et al.. (2015). Mammalian polymerase θ promotes alternative NHEJ and suppresses recombination. Nature. 518(7538). 254–257. 523 indexed citations breakdown →
12.
Gong, Fade, Ben D. Cox, François Aymard, et al.. (2015). Screen identifies bromodomain protein ZMYND8 in chromatin recognition of transcription-associated DNA damage that promotes homologous recombination. Genes & Development. 29(2). 197–211. 182 indexed citations
13.
Leung, Justin, P. K. Agarwal, Marella D. Canny, et al.. (2014). Nucleosome Acidic Patch Promotes RNF168- and RING1B/BMI1-Dependent H2AX and H2A Ubiquitination and DNA Damage Signaling. PLoS Genetics. 10(3). e1004178–e1004178. 82 indexed citations
14.
Gong, Fade & Kyle M. Miller. (2013). Mammalian DNA repair: HATs and HDACs make their mark through histone acetylation. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 750(1-2). 23–30. 131 indexed citations
15.
Chen, Wei‐Ta, et al.. (2012). Systematic Identification of Functional Residues in Mammalian Histone H2AX. Molecular and Cellular Biology. 33(1). 111–126. 51 indexed citations
16.
Gong, Fade, István Karsai, & Yu‐Sheng Liu. (2010). Vitis seeds (Vitaceae) from the late Neogene Gray Fossil Site, northeastern Tennessee, U.S.A.. Review of Palaeobotany and Palynology. 162(1). 71–83. 48 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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