Fade Gong
- Molecular Biology top 5%
- DNA Repair Mechanisms 9
- Genomics and Chromatin Dynamics 9
- Histone Deacetylase Inhibitors Research 5
- Protein Degradation and Inhibitors 5
- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 2
- RNA modifications and cancer 1
- Oncology top 10%
- PARP inhibition in cancer therapy 2
- Aging top 10%
- Cancer Research top 10%
- Co-authors
- Kyle M. MillerPedro A. Mateos‐GómezAgnel SfeirNidhi NairEros Lazzerini DenchiLi-Ya ChiuThomas ClouaireGaëlle Legube
- Cited by
- Molecular BiologyOncologyAging
- Journals
- The Journal of Cell Biology (2 papers)Genes & Development (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Fade Gong
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.5k
- Oncology 428
- Aging 20
- Cancer Research 170
- Genetics 122
Countries citing papers authored by Fade Gong
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
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
The 25 scholars most cited alongside Fade Gong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 26 | |
| 2 | 2019 | 100 | |
| 3 | 2019 | 7 | |
| 4 | 2019 | 7 | |
| 5 | 2018 | 23 | |
| 6 | 2017 | 33 | |
| 7 | 2017 | 176 | |
| 8 | 2017 | 129 | |
| 9 | 2016 | 92 | |
| 10 | 2016 | 76 | |
| 11 | Mammalian polymerase θ promotes alternative NHEJ and suppresses recombinationbreakdown → | 2015 | 523 |
| 12 | 2015 | 182 | |
| 13 | 2014 | 82 | |
| 14 | 2013 | 131 | |
| 15 | 2012 | 51 | |
| 16 | 2010 | 48 |
About Fade Gong
Fade Gong is a scholar working on Molecular Biology, Oncology and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), Genomics and Chromatin Dynamics (9 papers), Histone Deacetylase Inhibitors Research (5 papers), Protein Degradation and Inhibitors (5 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers), PARP inhibition in cancer therapy (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Molecular Biology (1.5k citations), Oncology (428 citations) and Aging (20 citations). Fade Gong has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Kyle M. Miller, Pedro A. Mateos‐Gómez, Agnel Sfeir, Nidhi Nair, Eros Lazzerini Denchi, Li-Ya Chiu, Thomas Clouaire, Gaëlle Legube, Marion Aguirrebengoa and Justin Leung. Their work appears in journals such as The Journal of Cell Biology, Genes & Development, PLoS Genetics, Philosophical Transactions of the Royal Society B Biological Sciences and Mutation Research/Reviews in Mutation Research.
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.