Fang-Lin Sun

7.8k total citations
30 papers, 1.4k citations indexed

About

Fang-Lin Sun is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Fang-Lin Sun has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Plant Science. Recurrent topics in Fang-Lin Sun's work include Genomics and Chromatin Dynamics (13 papers), Epigenetics and DNA Methylation (7 papers) and Chromosomal and Genetic Variations (5 papers). Fang-Lin Sun is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), Epigenetics and DNA Methylation (7 papers) and Chromosomal and Genetic Variations (5 papers). Fang-Lin Sun collaborates with scholars based in China, United States and Switzerland. Fang-Lin Sun's co-authors include Sarah C. R. Elgin, Jian‐Quan Ni, Wendy Dean, Gavin Kelsey, Wolf Reik, Nicholas D. Allen, Da-Liang Wang, Luping Liu, Lei Zhao and Su Chen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Fang-Lin Sun

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fang-Lin Sun China 20 1.2k 323 234 137 129 30 1.4k
Guillaume Velasco France 20 898 0.8× 283 0.9× 147 0.6× 83 0.6× 227 1.8× 27 1.2k
Rémi Terranova Switzerland 15 1.4k 1.2× 326 1.0× 91 0.4× 92 0.7× 200 1.6× 27 1.5k
Isabel Jaco Spain 13 1.8k 1.5× 174 0.5× 203 0.9× 165 1.2× 326 2.5× 14 2.1k
Madhurima Saxena United States 16 617 0.5× 267 0.8× 95 0.4× 249 1.8× 96 0.7× 22 1.1k
Ian Marc Bonapace Italy 20 1.4k 1.2× 348 1.1× 76 0.3× 168 1.2× 175 1.4× 31 1.6k
Andrés Canela United States 10 1.1k 0.9× 148 0.5× 197 0.8× 178 1.3× 99 0.8× 11 1.3k
Subhojit Sen India 9 1.8k 1.5× 118 0.4× 344 1.5× 113 0.8× 143 1.1× 19 2.0k
Anderly C. Chüeh Australia 14 816 0.7× 202 0.6× 439 1.9× 116 0.8× 96 0.7× 28 1.1k
Josefa Blanco‐Rodríguez Spain 12 906 0.8× 264 0.8× 198 0.8× 73 0.5× 160 1.2× 16 1.3k
Yuannyu Zhang United States 17 1.2k 1.0× 106 0.3× 122 0.5× 54 0.4× 201 1.6× 29 1.5k

Countries citing papers authored by Fang-Lin Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fang-Lin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang-Lin Sun. 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 Fang-Lin Sun. The network helps show where Fang-Lin Sun may publish in the future.

Co-authorship network of co-authors of Fang-Lin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Fang-Lin Sun. A scholar is included among the top collaborators of Fang-Lin Sun 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 Fang-Lin Sun. Fang-Lin Sun 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.
Wang, Chen, Anke Geng, Binghua Dai, et al.. (2020). Rational combination therapy for hepatocellular carcinoma with PARP1 and DNA-PK inhibitors. Proceedings of the National Academy of Sciences. 117(42). 26356–26365. 44 indexed citations
2.
Cai, Fengfeng, Lei Zhang, Yang Lü, et al.. (2019). Epigenetic regulation of the Warburg effect by H2B monoubiquitination. Cell Death and Differentiation. 27(5). 1660–1676. 42 indexed citations
3.
4.
Chen, Yu, Wencong Guo, Hesheng Tang, et al.. (2016). Impaired DNA double-strand break repair contributes to the age-associated rise of genomic instability in humans. Cell Death and Differentiation. 23(11). 1765–1777. 68 indexed citations
5.
Chen, Su, Yang Lü, Da-Liang Wang, et al.. (2016). Histone H2B monoubiquitination is a critical epigenetic switch for the regulation of autophagy. Nucleic Acids Research. 45(3). gkw1025–gkw1025. 44 indexed citations
6.
Wu, Junyu, Xiaonan Su, Ye Zhang, et al.. (2015). JMJD5 (Jumonji Domain-containing 5) Associates with Spindle Microtubules and Is Required for Proper Mitosis. Journal of Biological Chemistry. 291(9). 4684–4697. 16 indexed citations
7.
Sun, Jin, Huimin Wei, Xu Jiang, et al.. (2015). Histone H1-mediated epigenetic regulation controls germline stem cell self-renewal by modulating H4K16 acetylation. Nature Communications. 6(1). 8856–8856. 29 indexed citations
8.
Liu, Yan, Da-Liang Wang, Jian-Feng Chang, et al.. (2015). WITHDRAWN: WSTF Phosphorylation Specifically Links H3K9ac with H4K16ac through PCAF/WSTF/MOF Complex. Journal of Biological Chemistry. jbc.M114.627927–jbc.M114.627927. 1 indexed citations
9.
Zhao, Lei, Da-Liang Wang, Yan Liu, Su Chen, & Fang-Lin Sun. (2013). Histone acetyltransferase hMOF promotes S phase entry and tumorigenesis in lung cancer. Cellular Signalling. 25(8). 1689–1698. 47 indexed citations
10.
Lv, Wenwen, Huimin Wei, Da-Liang Wang, Jian‐Quan Ni, & Fang-Lin Sun. (2012). Depletion of histone deacetylase 3 antagonizes PI3K-mediated overgrowth through the acetylation of histone H4 at lysine 16. Journal of Cell Science. 125(Pt 22). 5369–78. 19 indexed citations
11.
Liu, Yan, Da-Liang Wang, Su Chen, Lei Zhao, & Fang-Lin Sun. (2012). Oncogene Ras/Phosphatidylinositol 3-Kinase Signaling Targets Histone H3 Acetylation at Lysine 56. Journal of Biological Chemistry. 287(49). 41469–41480. 41 indexed citations
12.
Cui, Peng, Wanfei Liu, Yuhui Zhao, et al.. (2012). The Association Between H3K4me3 and Antisense Transcription. Genomics Proteomics & Bioinformatics. 10(2). 74–81. 10 indexed citations
13.
Chen, Su, Huimin Wei, Wenwen Lv, Da-Liang Wang, & Fang-Lin Sun. (2011). E2 Ligase dRad6 Regulates DMP53 Turnover in Drosophila. Journal of Biological Chemistry. 286(11). 9020–9030. 14 indexed citations
14.
Cui, Peng, Qiang Lin, Lingfang Zhang, et al.. (2011). The Disequilibrium of Nucleosomes Distribution along Chromosomes Plays a Functional and Evolutionarily Role in Regulating Gene Expression. PLoS ONE. 6(8). e23219–e23219. 7 indexed citations
15.
Sun, Fang-Lin, et al.. (2010). Drosophila melanogaster heterochromatin protein HP1b plays important roles in transcriptional activation and development. Chromosoma. 120(1). 97–108. 19 indexed citations
16.
Ni, Jian‐Quan, Luping Liu, Daniel Heß, Jens Rietdorf, & Fang-Lin Sun. (2006). Drosophila ribosomal proteins are associated with linker histone H1 and suppress gene transcription. Genes & Development. 20(14). 1959–1973. 76 indexed citations
17.
Liu, Luping, et al.. (2005). Sex-specific role of Drosophila melanogaster HP1 in regulating chromatin structure and gene transcription. Nature Genetics. 37(12). 1361–1366. 64 indexed citations
18.
Sun, Fang-Lin, et al.. (2001). Long-Range Nucleosome Ordering Is Associated with Gene Silencing in Drosophila melanogaster Pericentric Heterochromatin. Molecular and Cellular Biology. 21(8). 2867–2879. 101 indexed citations
19.
Sun, Fang-Lin & Sarah C. R. Elgin. (1999). Putting Boundaries on Silence. Cell. 99(5). 459–462. 125 indexed citations
20.
Sun, Fang-Lin, Wendy Dean, Gavin Kelsey, Nicholas D. Allen, & Wolf Reik. (1997). Transactivation of Igf2 in a mouse model of Beckwith–Wiedemann syndrome. Nature. 389(6653). 809–815. 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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