Chun-Long Chen

5.8k total citations
48 papers, 2.0k citations indexed

About

Chun-Long Chen is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Chun-Long Chen has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Chun-Long Chen's work include DNA Repair Mechanisms (24 papers), Genomics and Chromatin Dynamics (21 papers) and Epigenetics and DNA Methylation (16 papers). Chun-Long Chen is often cited by papers focused on DNA Repair Mechanisms (24 papers), Genomics and Chromatin Dynamics (21 papers) and Epigenetics and DNA Methylation (16 papers). Chun-Long Chen collaborates with scholars based in France, China and United States. Chun-Long Chen's co-authors include Claude Thermes, Yves d’Aubenton-Carafa, Olivier Hyrien, A. Arnéodo, Benjamin Audit, Guillaume Guilbaud, Aurélien Rappailles, Yan Jaszczyszyn, Nataliya Petryk and Antoine Baker and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Chun-Long Chen

44 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-Long Chen France 24 1.7k 280 261 237 122 48 2.0k
Xinfu Jiao United States 21 2.5k 1.4× 685 2.4× 190 0.7× 115 0.5× 97 0.8× 27 2.7k
David Baillat United States 18 1.7k 1.0× 500 1.8× 163 0.6× 90 0.4× 129 1.1× 24 2.0k
Nabieh Ayoub Israel 23 2.1k 1.2× 184 0.7× 253 1.0× 413 1.7× 326 2.7× 37 2.2k
Nicholas K. Conrad United States 26 2.5k 1.4× 778 2.8× 52 0.2× 72 0.3× 386 3.2× 44 2.8k
Guifeng Wei United Kingdom 18 1.1k 0.6× 579 2.1× 188 0.7× 52 0.2× 62 0.5× 33 1.3k
Aaron M. Johnson United States 19 1.4k 0.8× 364 1.3× 344 1.3× 67 0.3× 71 0.6× 27 1.6k
Yuki Kato Japan 25 1.6k 0.9× 111 0.4× 287 1.1× 141 0.6× 35 0.3× 74 2.0k
Vassilis Roukos Germany 19 1.4k 0.8× 147 0.5× 162 0.6× 193 0.8× 299 2.5× 31 1.6k
Harshil Patel United Kingdom 21 1.2k 0.7× 142 0.5× 113 0.4× 132 0.6× 194 1.6× 48 1.5k
Scott T. Younger United States 15 1.6k 0.9× 749 2.7× 148 0.6× 91 0.4× 94 0.8× 23 1.8k

Countries citing papers authored by Chun-Long Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Long Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Long Chen. 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 Chun-Long Chen. The network helps show where Chun-Long Chen may publish in the future.

Co-authorship network of co-authors of Chun-Long Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Long Chen. A scholar is included among the top collaborators of Chun-Long Chen 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 Chun-Long Chen. Chun-Long Chen 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.
Muramatsu, Sachiko, Chikashi Obuse, Atsushi Toyoda, et al.. (2025). Regulated TRESLIN-MTBP loading governs initiation zones and replication timing in human DNA replication. Nature Communications. 16(1). 10069–10069.
2.
Spagnuolo, Manuela, et al.. (2025). m6A modification in R-loop homeostasis: a potential target for cancer therapeutics. NAR Cancer. 7(3). zcaf022–zcaf022.
3.
Li, Jian, Jiangqing Dong, Weitao Wang, et al.. (2023). The human pre-replication complex is an open complex. Cell. 186(1). 98–111.e21. 45 indexed citations
4.
Liu, Yaqun, Xia Wu, Yves d’Aubenton-Carafa, Claude Thermes, & Chun-Long Chen. (2022). OKseqHMM: a genome-wide replication fork directionality analysis toolkit. Nucleic Acids Research. 51(4). e22–e22. 18 indexed citations
5.
Li, Chunyan, Daqi Yu, Dan Zhang, et al.. (2022). Pan-cancer surveys indicate cell cycle-related roles of primate-specific genes in tumors and embryonic cerebrum. Genome biology. 23(1). 251–251. 10 indexed citations
6.
Németh, Eszter, Ádám Póti, Nataliya Petryk, et al.. (2022). Prospectively defined patterns of APOBEC3A mutagenesis are prevalent in human cancers. Cell Reports. 38(12). 110555–110555. 30 indexed citations
7.
Tan, Shengjun, Jinbo Wang, Man Wang, et al.. (2021). DNA transposons mediate duplications via transposition-independent and -dependent mechanisms in metazoans. Nature Communications. 12(1). 4280–4280. 16 indexed citations
8.
Li, Wen‐Jun, Weiyan Li, Qingzhen Liu, et al.. (2021). Quantitative Proteomics Analysis of Susceptibility and Resilience to Stress in a Rat model of PTSD. Behavioural Brain Research. 415. 113509–113509. 2 indexed citations
9.
Blin, Marion, Laurent Lacroix, Nataliya Petryk, et al.. (2021). DNA molecular combing-based replication fork directionality profiling. Nucleic Acids Research. 49(12). e69–e69. 11 indexed citations
10.
Sanchez, Aurore, Céline Adam, Yann Duroc, et al.. (2020). Exo1 recruits Cdc5 polo kinase to MutLγ to ensure efficient meiotic crossover formation. Proceedings of the National Academy of Sciences. 117(48). 30577–30588. 26 indexed citations
11.
Li, Zhiming, Xu Hua, Albert Serra‐Cardona, et al.. (2020). DNA polymerase α interacts with H3-H4 and facilitates the transfer of parental histones to lagging strands. Science Advances. 6(35). eabb5820–eabb5820. 71 indexed citations
12.
Jenjaroenpun, Piroon, Jing Li, Brian K. Haarer, et al.. (2020). Replication Stress Induces Global Chromosome Breakage in the Fragile X Genome. Cell Reports. 32(12). 108179–108179. 32 indexed citations
13.
Padioleau, Ismaël, Lionel A. Sanz, Anna Biernacka, et al.. (2020). Topoisomerase 1 prevents replication stress at R-loop-enriched transcription termination sites. Nature Communications. 11(1). 3940–3940. 129 indexed citations
14.
Shi, Mingjun, Xiangyu Meng, Jacqueline Fontugne, et al.. (2020). Identification of new driver and passenger mutations within APOBEC-induced hotspot mutations in bladder cancer. Genome Medicine. 12(1). 85–85. 30 indexed citations
15.
Petryk, Nataliya, Malik Kahli, Yves d’Aubenton-Carafa, et al.. (2016). Replication landscape of the human genome. Nature Communications. 7(1). 10208–10208. 219 indexed citations
16.
Hyrien, Olivier, Aurélien Rappailles, Guillaume Guilbaud, et al.. (2013). From Simple Bacterial and Archaeal Replicons to Replication N/U-Domains. Journal of Molecular Biology. 425(23). 4673–4689. 23 indexed citations
17.
Guilbaud, Guillaume, Aurélien Rappailles, Antoine Baker, et al.. (2011). Evidence for Sequential and Increasing Activation of Replication Origins along Replication Timing Gradients in the Human Genome. PLoS Computational Biology. 7(12). e1002322–e1002322. 114 indexed citations
18.
Chen, Chun-Long, Aurélien Rappailles, Maxime Huvet, et al.. (2010). Impact of replication timing on non-CpG and CpG substitution rates in mammalian genomes. Genome Research. 20(4). 447–457. 158 indexed citations
19.
Chen, Chun-Long, et al.. (2009). Genome-wide evolutionary analysis of the noncoding RNA genes and noncoding DNA of Paramecium tetraurelia. RNA. 15(4). 503–514. 10 indexed citations
20.

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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