Sargis Karapetyan

846 total citations · 2 hit papers
8 papers, 594 citations indexed

About

Sargis Karapetyan is a scholar working on Plant Science, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Sargis Karapetyan has authored 8 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Sargis Karapetyan's work include Light effects on plants (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Circadian rhythm and melatonin (2 papers). Sargis Karapetyan is often cited by papers focused on Light effects on plants (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Circadian rhythm and melatonin (2 papers). Sargis Karapetyan collaborates with scholars based in United States and China. Sargis Karapetyan's co-authors include Xinnian Dong, Lijing Liu, Musoki Mwimba, Guoyong Xu, Meng Yuan, Nicolas E. Buchler, Shiping Wang, Jorge Marqués, Wei Wang and Mian Zhou and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Sargis Karapetyan

7 papers receiving 584 citations

Hit Papers

uORF-mediated translation allows engineered plant disease... 2017 2026 2020 2023 2017 2024 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
Sargis Karapetyan United States 7 448 282 28 28 22 8 594
Jorge Marqués United States 8 737 1.6× 497 1.8× 25 0.9× 26 0.9× 17 0.8× 9 927
Mian Zhou China 7 448 1.0× 242 0.9× 25 0.9× 27 1.0× 6 0.3× 10 562
Jana A. Hassan United States 10 302 0.7× 85 0.3× 29 1.0× 19 0.7× 27 1.2× 15 394
Musoki Mwimba United States 6 496 1.1× 206 0.7× 27 1.0× 63 2.3× 5 0.2× 8 590
Hong Gil Lee South Korea 16 813 1.8× 636 2.3× 13 0.5× 14 0.5× 20 0.9× 36 971
Wessel van Leeuwen Netherlands 10 309 0.7× 395 1.4× 6 0.2× 55 2.0× 12 0.5× 12 519
Yoshitaka Umetsu Japan 9 126 0.3× 265 0.9× 14 0.5× 21 0.8× 61 2.8× 12 344
A. C. Chandra‐Shekara United States 11 800 1.8× 287 1.0× 7 0.3× 47 1.7× 22 1.0× 13 850
Monika M. Edstam Sweden 5 237 0.5× 304 1.1× 6 0.2× 14 0.5× 32 1.5× 6 458
Pilar Prieto‐Dapena Spain 14 610 1.4× 436 1.5× 8 0.3× 20 0.7× 26 1.2× 17 733

Countries citing papers authored by Sargis Karapetyan

Since Specialization
Citations

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

Fields of papers citing papers by Sargis Karapetyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sargis Karapetyan

This figure shows the co-authorship network connecting the top 25 collaborators of Sargis Karapetyan. A scholar is included among the top collaborators of Sargis Karapetyan 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 Sargis Karapetyan. Sargis Karapetyan 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.
Karapetyan, Sargis, Musoki Mwimba, Tianyuan Chen, Zhu‐Jun Yao, & Xinnian Dong. (2025). The redox rhythm gates immune-induced cell death distinctly from the genetic clock. Proceedings of the National Academy of Sciences. 122(37). e2519251122–e2519251122.
2.
Karapetyan, Sargis, et al.. (2024). H 2 O 2 sulfenylates CHE, linking local infection to the establishment of systemic acquired resistance. Science. 385(6714). 1211–1217. 46 indexed citations breakdown →
3.
Chen, Tianyuan, George H. Greene, Musoki Mwimba, et al.. (2024). m 6 A modification plays an integral role in mRNA stability and translation during pattern-triggered immunity. Proceedings of the National Academy of Sciences. 121(33). e2411100121–e2411100121. 13 indexed citations
4.
Mwimba, Musoki, Sargis Karapetyan, Lijing Liu, et al.. (2018). Daily humidity oscillation regulates the circadian clock to influence plant physiology. Nature Communications. 9(1). 4290–4290. 43 indexed citations
5.
Karapetyan, Sargis & Xinnian Dong. (2017). Redox and the circadian clock in plant immunity: A balancing act. Free Radical Biology and Medicine. 119. 56–61. 53 indexed citations
6.
Xu, Guoyong, Meng Yuan, Lijing Liu, et al.. (2017). uORF-mediated translation allows engineered plant disease resistance without fitness costs. Nature. 545(7655). 491–494. 272 indexed citations breakdown →
7.
Zhou, Mian, Wei Wang, Sargis Karapetyan, et al.. (2015). Redox rhythm reinforces the circadian clock to gate immune response. Nature. 523(7561). 472–476. 155 indexed citations
8.
Karapetyan, Sargis & Nicolas E. Buchler. (2015). Role of DNA binding sites and slow unbinding kinetics in titration-based oscillators. Physical Review E. 92(6). 62712–62712. 12 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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