Ya‐Ming Hou

7.3k total citations · 1 hit paper
175 papers, 5.3k citations indexed

About

Ya‐Ming Hou is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Ya‐Ming Hou has authored 175 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Molecular Biology, 19 papers in Genetics and 10 papers in Materials Chemistry. Recurrent topics in Ya‐Ming Hou's work include RNA and protein synthesis mechanisms (129 papers), RNA modifications and cancer (128 papers) and Genomics and Phylogenetic Studies (43 papers). Ya‐Ming Hou is often cited by papers focused on RNA and protein synthesis mechanisms (129 papers), RNA modifications and cancer (128 papers) and Genomics and Phylogenetic Studies (43 papers). Ya‐Ming Hou collaborates with scholars based in United States, China and Japan. Ya‐Ming Hou's co-authors include Paul Schimmel, Howard Gamper, John J. Perona, Thomas Christian, Isao Masuda, Cuiping Liu, Christopher S. Francklyn, Chunmei Zhang, Christian S. Hamann and Chunmei Zhang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Ya‐Ming Hou

168 papers receiving 5.2k citations

Hit Papers

A simple structural featu... 1988 2026 2000 2013 1988 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ya‐Ming Hou 4.7k 619 260 239 229 175 5.3k
Daniel Lim 3.0k 0.6× 467 0.8× 233 0.9× 429 1.8× 314 1.4× 38 4.4k
M.P. Coles 2.6k 0.5× 522 0.8× 387 1.5× 207 0.9× 190 0.8× 66 3.3k
T.H. Tahirov 3.2k 0.7× 952 1.5× 392 1.5× 401 1.7× 216 0.9× 115 4.0k
Michel Jaquinod 2.1k 0.5× 486 0.8× 303 1.2× 249 1.0× 487 2.1× 77 3.2k
Jens Nyborg 4.4k 0.9× 943 1.5× 730 2.8× 257 1.1× 201 0.9× 80 4.9k
Raymond Gilmour 2.4k 0.5× 501 0.8× 163 0.6× 279 1.2× 200 0.9× 63 3.3k
Takaho Terada 3.7k 0.8× 449 0.7× 433 1.7× 322 1.3× 679 3.0× 129 4.7k
Lichuan Gu 2.1k 0.5× 421 0.7× 186 0.7× 251 1.1× 522 2.3× 105 3.3k
Albert Schmitz 2.5k 0.5× 1.1k 1.8× 164 0.6× 197 0.8× 215 0.9× 21 3.1k
Richard Charles Garratt 2.8k 0.6× 648 1.0× 507 1.9× 246 1.0× 233 1.0× 153 4.3k

Countries citing papers authored by Ya‐Ming Hou

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Ming Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Ming Hou. 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 Ya‐Ming Hou. The network helps show where Ya‐Ming Hou may publish in the future.

Co-authorship network of co-authors of Ya‐Ming Hou

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

All Works

20 of 20 papers shown
1.
Wang, Bing, et al.. (2025). Structural basis for retron co-option of anti-phage ATPase-nuclease. Nature Structural & Molecular Biology. 33(1). 53–62. 3 indexed citations
2.
Li, Haixing, et al.. (2025). An RNA modification prevents extended codon-anticodon interactions from facilitating +1 frameshifting. Nature Communications. 16(1). 7392–7392.
3.
Nakano, Yuko, Howard Gamper, Jiatong Li, et al.. (2025). Genome-wide profiling of tRNA modifications by Induro-tRNAseq reveals coordinated changes. Nature Communications. 16(1). 1047–1047. 2 indexed citations
4.
Gamper, Howard, Thomas Christian, Robert Y. Henley, et al.. (2024). Post-transcriptional methylation of mitochondrial-tRNA differentially contributes to mitochondrial pathology. Nature Communications. 15(1). 9008–9008.
5.
Saito, Renata de Freitas, Hui Wei, David M.J. Lilley, et al.. (2024). Cracking the Code: Enhancing Molecular Tools for Progress in Nanobiotechnology. ACS Applied Bio Materials. 7(6). 3587–3604. 7 indexed citations
6.
Christian, Thomas, Isao Masuda, Fenglin Li, et al.. (2024). A kinetic model for compound heterozygous pathogenic variants in Tyrosyl-tRNA synthetase gene YARS2-Associated neonatal phenotype. Journal of Biological Chemistry. 301(1). 108092–108092.
7.
Fallahi, Ali, Howard Gamper, Miten Jain, et al.. (2024). Nanopore signal deviations from pseudouridine modifications in RNA are sequence-specific: quantification requires dedicated synthetic controls. Scientific Reports. 14(1). 22457–22457. 5 indexed citations
8.
Augustyniak, Rafał, et al.. (2023). Nucleolar Essential Protein 1 (Nep1): Elucidation of enzymatic catalysis mechanism by molecular dynamics simulation and quantum mechanics study. Computational and Structural Biotechnology Journal. 21. 3999–4008. 4 indexed citations
9.
Li, Yunlong, Manjuli R. Sharma, Howard Gamper, et al.. (2023). Starvation sensing by mycobacterial RelA/SpoT homologue through constitutive surveillance of translation. Proceedings of the National Academy of Sciences. 120(22). e2302006120–e2302006120. 5 indexed citations
10.
Gamper, Howard, et al.. (2023). Semi-quantitative detection of pseudouridine modifications and type I/II hypermodifications in human mRNAs using direct long-read sequencing. Nature Communications. 14(1). 334–334. 64 indexed citations
11.
Gamper, Howard, et al.. (2023). Synthesis of Stably Charged Arg-tRNAArg for Structural Analysis. Methods in molecular biology. 2620. 263–271. 1 indexed citations
12.
Demo, Gabriel, Howard Gamper, A.B. Loveland, et al.. (2021). Structural basis for +1 ribosomal frameshifting during EF-G-catalyzed translocation. Nature Communications. 12(1). 4644–4644. 19 indexed citations
13.
Loveland, A.B., et al.. (2021). Time-resolved cryo-EM visualizes ribosomal translocation with EF-G and GTP. Nature Communications. 12(1). 7236–7236. 66 indexed citations
14.
Masuda, Isao, Thomas Christian, Fuad Mohammad, et al.. (2021). Loss of N1-methylation of G37 in tRNA induces ribosome stalling and reprograms gene expression. eLife. 10. 25 indexed citations
15.
Gamper, Howard, Christine Polte, Zoya Ignatova, et al.. (2020). tRNAArg-Derived Fragments Can Serve as Arginine Donors for Protein Arginylation. Cell chemical biology. 27(7). 839–849.e4. 21 indexed citations
16.
Walvoord, Ryan R., et al.. (2014). Amino acid–dependent stability of the acyl linkage in aminoacyl-tRNA. RNA. 20(6). 758–764. 38 indexed citations
17.
Christian, Thomas, Howard Gamper, & Ya‐Ming Hou. (2013). Conservation of structure and mechanism by Trm5 enzymes. RNA. 19(9). 1192–1199. 30 indexed citations
18.
Liu, Cuiping, et al.. (2009). Distinct kinetic determinants for the stepwise CCA addition to tRNA. RNA. 15(10). 1827–1836. 17 indexed citations
19.
Arar, Khalil, et al.. (2005). Unrestricted accessibility of short oligonucleotides to RNA. RNA. 11(9). 1441–1447. 9 indexed citations
20.
Hou, Ya‐Ming, et al.. (1995). Evidence for a conserved relationship between an acceptor stem and a tRNA for aminoacylation.. PubMed Central. 1(7). 707–13. 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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