Ashot Papikian

846 total citations · 1 hit paper
8 papers, 571 citations indexed

About

Ashot Papikian is a scholar working on Molecular Biology, Plant Science and Infectious Diseases. According to data from OpenAlex, Ashot Papikian has authored 8 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Plant Science and 0 papers in Infectious Diseases. Recurrent topics in Ashot Papikian's work include Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (3 papers) and Plant Gene Expression Analysis (3 papers). Ashot Papikian is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (3 papers) and Plant Gene Expression Analysis (3 papers). Ashot Papikian collaborates with scholars based in United States, China and Netherlands. Ashot Papikian's co-authors include Steven E. Jacobsen, Wanlu Liu, Javier Gallego‐Bartolomé, Jason Gardiner, Basudev Ghoshal, David J. Segal, James A. Wohlschlegel, Ajay A. Vashisht, William A. Pastor and Guillaume Moissiard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Developmental Cell.

In The Last Decade

Ashot Papikian

7 papers receiving 561 citations

Hit Papers

Site-specific manipulation of Arabidopsis loci using CRIS... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashot Papikian United States 5 441 412 40 40 20 8 571
Jason Gardiner United States 10 443 1.0× 472 1.1× 33 0.8× 29 0.7× 9 0.5× 13 587
Tien Van Vu South Korea 13 446 1.0× 450 1.1× 29 0.7× 73 1.8× 30 1.5× 22 582
Mil Thi Tran South Korea 7 312 0.7× 287 0.7× 23 0.6× 50 1.3× 22 1.1× 8 372
Spencer Jones United States 7 417 0.9× 249 0.6× 64 1.6× 31 0.8× 39 1.9× 7 456
Macy Vollbrecht United States 4 330 0.7× 264 0.6× 31 0.8× 43 1.1× 18 0.9× 5 389
Lanie Feigenbutz United States 5 253 0.6× 184 0.4× 43 1.1× 24 0.6× 19 0.9× 5 284
Shifei Sang China 9 218 0.5× 211 0.5× 22 0.6× 16 0.4× 11 0.6× 19 308
Guoqi Song China 11 254 0.6× 350 0.8× 48 1.2× 13 0.3× 10 0.5× 20 418
Yueting Liang China 5 163 0.4× 259 0.6× 37 0.9× 23 0.6× 7 0.3× 9 333
Alexander Knoll Germany 14 534 1.2× 443 1.1× 36 0.9× 10 0.3× 4 0.2× 19 633

Countries citing papers authored by Ashot Papikian

Since Specialization
Citations

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

Fields of papers citing papers by Ashot Papikian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashot Papikian

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

All Works

8 of 8 papers shown
1.
Wang, Ming, Yan He, Zhenhui Zhong, et al.. (2025). Histone H3 lysine 4 methylation recruits DNA demethylases to enforce gene expression in Arabidopsis. Nature Plants. 11(2). 206–217. 9 indexed citations
2.
Binenbaum, Jenia, Hugh J.L. Fryer, Linhao Xu, et al.. (2025). CRISPR targeting of H3K4me3 activates gene expression and unlocks centromere-proximal crossover recombination in Arabidopsis. Nature Communications. 16(1). 9587–9587.
3.
Haag, Michael, Ling Zhang, Joseph Swift, et al.. (2025). A single-nuclei transcriptome census of the Arabidopsis maturing root identifies that MYB67 controls phellem cell maturation. Developmental Cell. 60(9). 1377–1391.e7. 3 indexed citations
4.
Papikian, Ashot, Jui‐Chun Kao, Nicole C. Hauser, et al.. (2025). Targeted deletions of large syntenic regions in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 122(33). e2419744122–e2419744122. 2 indexed citations
5.
Papikian, Ashot, Wanlu Liu, Javier Gallego‐Bartolomé, & Steven E. Jacobsen. (2019). Site-specific manipulation of Arabidopsis loci using CRISPR-Cas9 SunTag systems. Nature Communications. 10(1). 729–729. 263 indexed citations breakdown →
6.
Gallego‐Bartolomé, Javier, Jason Gardiner, Wanlu Liu, et al.. (2018). Targeted DNA demethylation of the Arabidopsis genome using the human TET1 catalytic domain. Proceedings of the National Academy of Sciences. 115(9). E2125–E2134. 201 indexed citations
7.
Harris, C. Jake, Dylan Husmann, Wanlu Liu, et al.. (2016). Arabidopsis AtMORC4 and AtMORC7 Form Nuclear Bodies and Repress a Large Number of Protein-Coding Genes. PLoS Genetics. 12(5). e1005998–e1005998. 40 indexed citations
8.
Moissiard, Guillaume, Sylvain Bischof, Dylan Husmann, et al.. (2014). Transcriptional gene silencing by Arabidopsis microrchidia homologues involves the formation of heteromers. Proceedings of the National Academy of Sciences. 111(20). 7474–7479. 53 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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