Jared D. Moon

1.2k total citations · 1 hit paper
7 papers, 857 citations indexed

About

Jared D. Moon is a scholar working on Molecular Biology, Ecology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jared D. Moon has authored 7 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Ecology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Jared D. Moon's work include RNA and protein synthesis mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (2 papers). Jared D. Moon is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (2 papers). Jared D. Moon collaborates with scholars based in United States, Switzerland and Germany. Jared D. Moon's co-authors include Samie R. Jaffrey, Grigory S. Filonov, Nina Svensen, Xing Li, Hyaeyeong Kim, Markus Hirsch, Wenjiao Song, Sourav Dey, Jiahui Wu and A.R. Ferré-D′Amaré and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Science Advances.

In The Last Decade

Jared D. Moon

6 papers receiving 853 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Broccoli: Rapid Selection of an RNA Mimic of Green Fluorescent Protein by Fluorescence-Based Selection and Directed Evolution

2014 569 citations Grigory S. Filonov, Jared D. Moon et al. Journal of the American Chemical Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jared D. Moon United States	6	808	90	63	62	53	7	857
Alexis Autour France	10	700 0.9×	166 1.8×	32 0.5×	52 0.8×	37 0.7×	15	808
K.D. Warner United States	4	930 1.2×	46 0.5×	27 0.4×	52 0.8×	55 1.0×	6	987
Sunny C.Y. Jeng Canada	9	836 1.0×	95 1.1×	39 0.6×	62 1.0×	34 0.6×	11	877
Hye Ran Koh South Korea	12	650 0.8×	57 0.6×	160 2.5×	21 0.3×	22 0.4×	25	733
Sinan Arslan United States	6	406 0.5×	63 0.7×	100 1.6×	39 0.6×	22 0.4×	7	498
You Korlann United States	5	435 0.5×	39 0.4×	136 2.2×	63 1.0×	80 1.5×	5	535
Razvan Cojocaru Canada	7	552 0.7×	69 0.8×	28 0.4×	34 0.5×	26 0.5×	8	589
Christoph Gohlke United States	7	518 0.6×	62 0.7×	134 2.1×	40 0.6×	17 0.3×	8	657
Jana Aupič Slovenia	12	470 0.6×	45 0.5×	15 0.2×	84 1.4×	62 1.2×	30	589
Grzegorz Chwastek Germany	12	374 0.5×	89 1.0×	38 0.6×	44 0.7×	49 0.9×	15	479

Countries citing papers authored by Jared D. Moon

Since Specialization

Citations

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

Fields of papers citing papers by Jared D. Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared D. Moon. 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 Jared D. Moon. The network helps show where Jared D. Moon may publish in the future.

Co-authorship network of co-authors of Jared D. Moon

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

All Works

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7 of 7 papers shown

1.

Moon, Jared D., et al.. (2024). Imaging S-Adenosyl Methionine Dynamics in Living Cells Using an RNA-Based Fluorescent Sensor. Methods in molecular biology. 2774. 259–267.

2.

Moon, Jared D., et al.. (2023). Intricate 3D architecture of a DNA mimic of GFP. Nature. 618(7967). 1078–1084. 22 indexed citations

3.

Acosta-Ruiz, Amanda, Jared D. Moon, Johannes Broichhagen, et al.. (2022). Control of Gα _q signaling dynamics and GPCR cross-talk by GRKs. Science Advances. 8(47). eabq3363–eabq3363. 14 indexed citations

4.

Moon, Jared D., et al.. (2022). Detection of SARS-CoV-2 RNA Using a DNA Aptamer Mimic of Green Fluorescent Protein. ACS Chemical Biology. 17(4). 840–853. 26 indexed citations

5.

Moon, Jared D., Jiahui Wu, Sourav Dey, et al.. (2021). Naturally occurring three-way junctions can be repurposed as genetically encoded RNA-based sensors. Cell chemical biology. 28(11). 1569–1580.e4. 21 indexed citations

6.

Song, Wenjiao, Grigory S. Filonov, Hyaeyeong Kim, et al.. (2017). Imaging RNA polymerase III transcription using a photostable RNA–fluorophore complex. Nature Chemical Biology. 13(11). 1187–1194. 205 indexed citations

7.

Filonov, Grigory S., Jared D. Moon, Nina Svensen, & Samie R. Jaffrey. (2014). Broccoli: Rapid Selection of an RNA Mimic of Green Fluorescent Protein by Fluorescence-Based Selection and Directed Evolution. Journal of the American Chemical Society. 136(46). 16299–16308. 569 indexed citations breakdown →

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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