M Rhyan Puno

657 total citations
10 papers, 457 citations indexed

About

M Rhyan Puno is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, M Rhyan Puno has authored 10 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Neurology and 1 paper in Physiology. Recurrent topics in M Rhyan Puno's work include RNA Research and Splicing (6 papers), RNA regulation and disease (4 papers) and RNA modifications and cancer (3 papers). M Rhyan Puno is often cited by papers focused on RNA Research and Splicing (6 papers), RNA regulation and disease (4 papers) and RNA modifications and cancer (3 papers). M Rhyan Puno collaborates with scholars based in United States, United Kingdom and Norway. M Rhyan Puno's co-authors include Christopher D. Lima, Eva‐Maria Weick, Devanshi Jain, Scott Keeney, Kurt Januszyk, Michael A. DiMattia, John C. Zinder, Nathalie Lailler, Kathryn V. Anderson and Cem Meydan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

M Rhyan Puno

10 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Rhyan Puno United States 10 385 94 34 34 30 10 457
Agnès Delahodde France 9 535 1.4× 23 0.2× 15 0.4× 83 2.4× 28 0.9× 12 596
Zhangli Wang China 6 127 0.3× 67 0.7× 44 1.3× 7 0.2× 48 1.6× 12 309
Melissa S. Schonauer United States 8 440 1.1× 34 0.4× 24 0.7× 6 0.2× 11 0.4× 12 535
Shiguo Liu China 10 198 0.5× 62 0.7× 8 0.2× 12 0.4× 6 0.2× 27 332
Xuxin Liu China 7 196 0.5× 37 0.4× 13 0.4× 24 0.7× 102 3.4× 11 356
Antonella Santoro Italy 11 348 0.9× 27 0.3× 9 0.3× 6 0.2× 60 2.0× 18 470
Peipei Wu China 7 333 0.9× 22 0.2× 22 0.6× 5 0.1× 63 2.1× 16 431
Rong Luo China 9 225 0.6× 85 0.9× 3 0.1× 23 0.7× 22 0.7× 16 332
Jiao Huang China 9 345 0.9× 39 0.4× 27 0.8× 2 0.1× 25 0.8× 28 483

Countries citing papers authored by M Rhyan Puno

Since Specialization
Citations

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

Fields of papers citing papers by M Rhyan Puno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Rhyan Puno. 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 M Rhyan Puno. The network helps show where M Rhyan Puno may publish in the future.

Co-authorship network of co-authors of M Rhyan Puno

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

All Works

10 of 10 papers shown
1.
Puno, M Rhyan & Christopher D. Lima. (2022). Structural basis for RNA surveillance by the human nuclear exosome targeting (NEXT) complex. Cell. 185(12). 2132–2147.e26. 30 indexed citations
2.
Saito, Yuhki, Ben R Hawley, M Rhyan Puno, et al.. (2022). YTHDC2 control of gametogenesis requires helicase activity but not m6A binding. Genes & Development. 36(3-4). 180–194. 34 indexed citations
3.
Puno, M Rhyan, et al.. (2019). SnapShot: The RNA Exosome. Cell. 179(1). 282–282.e1. 37 indexed citations
4.
Weick, Eva‐Maria, M Rhyan Puno, Kurt Januszyk, et al.. (2018). Helicase-Dependent RNA Decay Illuminated by a Cryo-EM Structure of a Human Nuclear RNA Exosome-MTR4 Complex. Cell. 173(7). 1663–1677.e21. 95 indexed citations
5.
Jain, Devanshi, M Rhyan Puno, Cem Meydan, et al.. (2018). ketu mutant mice uncover an essential meiotic function for the ancient RNA helicase YTHDC2. eLife. 7. 122 indexed citations
6.
Puno, M Rhyan & Christopher D. Lima. (2018). Structural basis for MTR4–ZCCHC8 interactions that stimulate the MTR4 helicase in the nuclear exosome-targeting complex. Proceedings of the National Academy of Sciences. 115(24). E5506–E5515. 47 indexed citations
7.
Alvarez‐Erviti, Lydia, V. Bansal, Zhi Yao, et al.. (2017). DJ-1 is a redox sensitive adapter protein for high molecular weight complexes involved in regulation of catecholamine homeostasis. Human Molecular Genetics. 26(20). 4028–4041. 23 indexed citations
8.
Björkblom, Benny, Jodi Maple‐Grødem, M Rhyan Puno, et al.. (2014). Reactive Oxygen Species-Mediated DJ-1 Monomerization Modulates Intracellular Trafficking Involving Karyopherin β2. Molecular and Cellular Biology. 34(16). 3024–3040. 27 indexed citations
9.
Puno, M Rhyan, Nisha Patel, Simon Geir Møller, et al.. (2013). Structure of Cu(I)-Bound DJ-1 Reveals a Biscysteinate Metal Binding Site at the Homodimer Interface: Insights into Mutational Inactivation of DJ-1 in Parkinsonism. Journal of the American Chemical Society. 135(43). 15974–15977. 17 indexed citations
10.
Ragasa, Consolacion Y., et al.. (2009). Bioactive triterpenes fromDiospyros blancoi. Natural Product Research. 23(13). 1252–1258. 25 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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