Stephen J. Kiniry

789 total citations
18 papers, 331 citations indexed

About

Stephen J. Kiniry is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Stephen J. Kiniry has authored 18 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cancer Research. Recurrent topics in Stephen J. Kiniry's work include RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (9 papers) and Genomics and Phylogenetic Studies (7 papers). Stephen J. Kiniry is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), RNA modifications and cancer (9 papers) and Genomics and Phylogenetic Studies (7 papers). Stephen J. Kiniry collaborates with scholars based in Ireland, Russia and United States. Stephen J. Kiniry's co-authors include Pavel V. Baranov, Audrey M. Michel, Patrick B. F. O’Connor, Dmitry E. Andreev, Gary Loughran, Дмитрий Рачинский, John F. Atkins, Alexander V. Zhdanov, Vadim N. Gladyshev and Ioanna Tzani and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Stephen J. Kiniry

18 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen J. Kiniry Ireland 10 300 28 23 15 11 18 331
Vadim Shchepachev Switzerland 10 399 1.3× 23 0.8× 24 1.0× 9 0.6× 11 1.0× 11 441
Ora Haimov Israel 8 286 1.0× 37 1.3× 16 0.7× 21 1.4× 5 0.5× 9 326
Randall A. Dass United States 5 257 0.9× 31 1.1× 37 1.6× 11 0.7× 16 1.5× 6 282
Hagen Schwenzer France 9 200 0.7× 15 0.5× 22 1.0× 7 0.5× 5 0.5× 10 244
Maria Anokhina Germany 8 669 2.2× 34 1.2× 17 0.7× 24 1.6× 13 1.2× 11 709
Homa Ghalei United States 13 479 1.6× 32 1.1× 17 0.7× 11 0.7× 12 1.1× 23 508
Vladislava Hronová Czechia 5 297 1.0× 8 0.3× 17 0.7× 18 1.2× 6 0.5× 5 318
S.K. Doamekpor United States 8 325 1.1× 33 1.2× 24 1.0× 5 0.3× 6 0.5× 11 359
Charles Danan United States 8 254 0.8× 33 1.2× 11 0.5× 9 0.6× 3 0.3× 11 328
Ioanna Tzani Ireland 7 253 0.8× 5 0.2× 23 1.0× 19 1.3× 8 0.7× 10 275

Countries citing papers authored by Stephen J. Kiniry

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Kiniry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Kiniry. 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 Stephen J. Kiniry. The network helps show where Stephen J. Kiniry may publish in the future.

Co-authorship network of co-authors of Stephen J. Kiniry

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

All Works

18 of 18 papers shown
1.
Han, Zhenbo, Gege Yan, Mehdi Amiri, et al.. (2025). Translational regulation of SND1 governs endothelial homeostasis during stress. Journal of Clinical Investigation. 135(3). 2 indexed citations
2.
Fedorova, Alla D., Stephen J. Kiniry, Dmitry E. Andreev, Jonathan M. Mudge, & Pavel V. Baranov. (2024). Addendum: Thousands of human non-AUG extended proteoforms lack evidence of evolutionary selection among mammals. Nature Communications. 15(1). 228–228. 2 indexed citations
3.
Tjeldnes, Håkon, Anmol Kiran, Stephen J. Kiniry, et al.. (2024). RiboSeq.Org: an integrated suite of resources for ribosome profiling data analysis and visualization. Nucleic Acids Research. 53(D1). D268–D274. 1 indexed citations
4.
Amiri, Mehdi, Stephen J. Kiniry, Anthony Possemato, et al.. (2023). Impact of eIF2α phosphorylation on the translational landscape of mouse embryonic stem cells. Cell Reports. 43(1). 113615–113615. 7 indexed citations
5.
Kiniry, Stephen J., et al.. (2022). Development of a ribosome profiling protocol to study translation in Kluyveromyces marxianus. FEMS Yeast Research. 22(1). 1 indexed citations
6.
Fedorova, Alla D., Stephen J. Kiniry, Dmitry E. Andreev, Jonathan M. Mudge, & Pavel V. Baranov. (2022). Thousands of human non-AUG extended proteoforms lack evidence of evolutionary selection among mammals. Nature Communications. 13(1). 7910–7910. 11 indexed citations
7.
Kiniry, Stephen J., et al.. (2021). Exploring Evidence of Non-coding RNA Translation With Trips-Viz and GWIPS-Viz Browsers. Frontiers in Cell and Developmental Biology. 9. 703374–703374. 7 indexed citations
8.
Kiniry, Stephen J., et al.. (2021). Trips-Viz: an environment for the analysis of public and user-generated ribosome profiling data. Nucleic Acids Research. 49(W1). W662–W670. 20 indexed citations
9.
Loughran, Gary, Alexander V. Zhdanov, Sergey I. Kovalchuk, et al.. (2020). Unusually efficient CUG initiation of an overlapping reading frame in POLG mRNA yields novel protein POLGARF. Proceedings of the National Academy of Sciences. 117(40). 24936–24946. 26 indexed citations
10.
Seoighe, Cathal, Stephen J. Kiniry, Andrew Peters, Pavel V. Baranov, & Haixuan Yang. (2020). Selection Shapes Synonymous Stop Codon Use in Mammals. Journal of Molecular Evolution. 88(7). 549–561. 3 indexed citations
11.
Kiniry, Stephen J., Regina Cencic, Mehdi Amiri, et al.. (2020). Identification and characterization of hippuristanol-resistant mutants reveals eIF4A1 dependencies within mRNA 5′ leader regions. Nucleic Acids Research. 48(17). 9521–9537. 20 indexed citations
12.
Michel, Audrey M., Dmitry E. Andreev, Lyudmila Shalamova, et al.. (2019). Cellular Gene Expression during Hepatitis C Virus Replication as Revealed by Ribosome Profiling. International Journal of Molecular Sciences. 20(6). 1321–1321. 16 indexed citations
13.
Kiniry, Stephen J., Audrey M. Michel, & Pavel V. Baranov. (2019). Computational methods for ribosome profiling data analysis. Wiley Interdisciplinary Reviews - RNA. 11(3). e1577–e1577. 32 indexed citations
14.
Andreev, Dmitry E., Stephen J. Kiniry, Gary Loughran, et al.. (2018). TASEP modelling provides a parsimonious explanation for the ability of a single uORF to derepress translation during the integrated stress response. eLife. 7. 40 indexed citations
15.
Loughran, Gary, Alexander V. Zhdanov, Marco Mariotti, et al.. (2018). AMD1 mRNA employs ribosome stalling as a mechanism for molecular memory formation. Nature. 553(7688). 356–360. 51 indexed citations
16.
Kiniry, Stephen J., Audrey M. Michel, & Pavel V. Baranov. (2018). The GWIPS‐viz Browser. Current Protocols in Bioinformatics. 62(1). e50–e50. 9 indexed citations
17.
Kiniry, Stephen J., Patrick B. F. O’Connor, Audrey M. Michel, & Pavel V. Baranov. (2018). Trips-Viz: a transcriptome browser for exploring Ribo-Seq data. Nucleic Acids Research. 47(D1). D847–D852. 37 indexed citations
18.
Michel, Audrey M., et al.. (2017). GWIPS-viz: 2018 update. Nucleic Acids Research. 46(D1). D823–D830. 46 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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