Walter N. Moss

3.2k total citations
74 papers, 2.2k citations indexed

About

Walter N. Moss is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Walter N. Moss has authored 74 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 20 papers in Epidemiology and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Walter N. Moss's work include RNA and protein synthesis mechanisms (51 papers), RNA modifications and cancer (25 papers) and RNA Research and Splicing (22 papers). Walter N. Moss is often cited by papers focused on RNA and protein synthesis mechanisms (51 papers), RNA modifications and cancer (25 papers) and RNA Research and Splicing (22 papers). Walter N. Moss collaborates with scholars based in United States, Poland and Russia. Walter N. Moss's co-authors include Douglas H. Turner, Joan A. Steitz, Ryan J. Andrews, Matthew D. Disney, Nara Lee, Elżbieta Kierzek, Ryszard Kierzek, Collin A. O’Leary, Therese A. Yario and Jonathan L. Chen 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

Walter N. Moss

72 papers receiving 2.2k citations

Peers

Countries citing papers authored by Walter N. Moss

Since Specialization

Citations

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

Fields of papers citing papers by Walter N. Moss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Walter N. Moss. 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 Walter N. Moss. The network helps show where Walter N. Moss may publish in the future.

Co-authorship network of co-authors of Walter N. Moss

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The RNA secondary structure of androgen receptor-FL and V7 transcripts reveals novel regulatory regions 2024 ·Nucleic Acids Research ·(unknown), Van S. Tompkins, Collin A. O’Leary, Walter N. Moss	1
2	Targeting sgRNA N secondary structure as a way of inhibiting SARS-CoV-2 replication 2024 ·Antiviral Research ·(unknown), (unknown), Agnieszka Ruszkowska, (unknown), Ryszard Kierzek, (unknown), (unknown), Paulina Jackowiak, Jake M. Peterson, Walter N. Moss, Elżbieta Kierzek	2
3	Identification of MYC intron 2 regions that modulate expression 2024 ·PLoS ONE ·Van S. Tompkins, (unknown), Jake M. Peterson, (unknown), Collin A. O’Leary, Walter N. Moss	0
4	In vivo secondary structural analysis of Influenza A virus genomic RNA 2023 ·Cellular and Molecular Life Sciences ·(unknown), (unknown), (unknown), Agnieszka Ruszkowska, Jake M. Peterson, Walter N. Moss, David H. Mathews, Ryszard Kierzek, Elżbieta Kierzek	11
5	Nuclear magnetic resonance reveals a two hairpin equilibrium near the 3′-splice site of influenza A segment 7 mRNA that can be shifted by oligonucleotides 2022 ·RNA ·(unknown), Scott D. Kennedy, Walter N. Moss, Elżbieta Kierzek, Ryszard Kierzek, Douglas H. Turner	3
6	Secondary Structure of Subgenomic RNA M of SARS-CoV-2 2022 ·Viruses ·(unknown), Agnieszka Ruszkowska, Ryszard Kierzek, Collin A. O’Leary, Walter N. Moss, Elżbieta Kierzek	7
7	Secondary Structure of Influenza A Virus Genomic Segment 8 RNA Folded in a Cellular Environment 2022 ·International Journal of Molecular Sciences ·(unknown), (unknown), Ryszard Kierzek, Paweł Zmora, Jake M. Peterson, Walter N. Moss, David H. Mathews, Elżbieta Kierzek	4
8	Expansion of the RNAStructuromeDB to include secondary structural data spanning the human protein-coding transcriptome 2022 ·Scientific Reports ·(unknown), Collin A. O’Leary, Nicholas J. Booher, Walter N. Moss	2
9	A map of the SARS-CoV-2 RNA structurome 2021 ·NAR Genomics and Bioinformatics ·Ryan J. Andrews, Collin A. O’Leary, Van S. Tompkins, Jake M. Peterson, Hafeez S. Haniff, Christopher J. Williams, Matthew D. Disney, Walter N. Moss	44
10	SARS-CoV-2 expresses a microRNA-like small RNA able to selectively repress host genes 2021 ·Proceedings of the National Academy of Sciences ·Paulina Pawlica, Therese A. Yario, Sylvia S. White, Jianhui Wang, Walter N. Moss, Pei Hui, Joseph M. Vinetz, Joan A. Steitz	54
11	Universal and strain specific structure features of segment 8 genomic RNA of influenza A virus—application of 4-thiouridine photocrosslinking 2021 ·Journal of Biological Chemistry ·(unknown), (unknown), (unknown), Jake M. Peterson, Walter N. Moss, (unknown), Ryszard Kierzek, Elżbieta Kierzek	10
12	Conserved Structural Motifs of Two Distant IAV Subtypes in Genomic Segment 5 RNA 2021 ·Viruses ·(unknown), (unknown), (unknown), Ryszard Kierzek, Ewa Biała, Walter N. Moss, Elżbieta Kierzek	4
13	Identification and Evolution of Cas9 tracrRNAs 2021 ·The CRISPR Journal ·(unknown), Erica K. Baken, Walter N. Moss, Adina Howe, Joshua K. Young	5
14	Plasmodium falciparum translational machinery condones polyadenosine repeats 2020 ·eLife ·(unknown), Jessey Erath, Ryan J. Andrews, Peter O. Bayguinov, (unknown), Douglas L. Chalker, James A. J. Fitzpatrick, Walter N. Moss, Paweł Szczęsny, Sergej Djuranović	17
15	Translation of the intrinsically disordered protein α-synuclein is inhibited by a small molecule targeting its structured mRNA 2020 ·Proceedings of the National Academy of Sciences ·Peiyuan Zhang, Hye-Jin Park, Jie Zhang, Eunsung Junn, Ryan J. Andrews, Sai Pradeep Velagapudi, Daniel Abegg, (unknown), Matthew G. Costales, Jessica L. Childs‐Disney, Alexander Adibekian, Walter N. Moss, M. Maral Mouradian, Matthew D. Disney	85
16	Precise small-molecule cleavage of an r(CUG) repeat expansion in a myotonic dystrophy mouse model 2019 ·Proceedings of the National Academy of Sciences ·Alicia J. Angelbello, Suzanne G. Rzuczek, Kendra McKee, Jonathan L. Chen, Hailey Olafson, Michael D. Cameron, Walter N. Moss, Eric T. Wang, Matthew D. Disney	91
17	The Epstein Barr virus circRNAome 2018 ·PLoS Pathogens ·Nathan Ungerleider, Monica Concha, Zhen Lin, (unknown), Xia Wang, Subing Cao, Melody Baddoo, Walter N. Moss, Yi Yu, Michael Seddon, (unknown), Scott A. Tibbetts, Rolf Renne, Yan Dong, Erik K. Flemington	112
18	Analyses of non-coding RNAs generated from the Epstein-Barr virus W repeat region. 2014 ·Walter N. Moss	1
19	Identification of conserved RNA secondary structures at influenza B and C splice sites reveals similarities and differences between influenza A, B, and C 2014 ·BMC Research Notes ·(unknown), Walter N. Moss, Douglas H. Turner	14
20	Identification of potential conserved RNA secondary structure throughout influenza A coding regions 2011 ·RNA ·Walter N. Moss, (unknown), Douglas H. Turner	80

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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