Jiqiang Ling

3.2k total citations
57 papers, 2.2k citations indexed

About

Jiqiang Ling is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jiqiang Ling has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 14 papers in Genetics and 5 papers in Ecology. Recurrent topics in Jiqiang Ling's work include RNA and protein synthesis mechanisms (48 papers), RNA modifications and cancer (30 papers) and Bacterial Genetics and Biotechnology (14 papers). Jiqiang Ling is often cited by papers focused on RNA and protein synthesis mechanisms (48 papers), RNA modifications and cancer (30 papers) and Bacterial Genetics and Biotechnology (14 papers). Jiqiang Ling collaborates with scholars based in United States, Canada and China. Jiqiang Ling's co-authors include Michael Ibba, Dieter Söll, Noah M. Reynolds, Hervé Roy, Patrick O’Donoghue, Yongqiang Fan, Jiang Wu, Yane‐Shih Wang, Jesse Rinehart and Irnov Irnov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jiqiang Ling

56 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiqiang Ling United States 25 2.0k 419 128 105 57 57 2.2k
Ichiro Matsumura United States 20 1.3k 0.7× 336 0.8× 150 1.2× 149 1.4× 49 0.9× 41 1.6k
Erik Ahrné Switzerland 16 1.3k 0.7× 352 0.8× 119 0.9× 72 0.7× 75 1.3× 23 1.7k
Lei Zheng United States 17 1.3k 0.7× 320 0.8× 128 1.0× 140 1.3× 119 2.1× 42 1.9k
Caroline Köhrer United States 25 1.6k 0.8× 326 0.8× 153 1.2× 61 0.6× 98 1.7× 43 1.7k
Benjamin Volkmer Switzerland 7 1.2k 0.6× 529 1.3× 160 1.3× 87 0.8× 30 0.5× 9 1.4k
Montserrat Elías‐Arnanz Spain 24 1.4k 0.7× 378 0.9× 242 1.9× 191 1.8× 31 0.5× 57 1.6k
Mikaela Rapp Sweden 12 893 0.5× 457 1.1× 120 0.9× 92 0.9× 141 2.5× 16 1.2k
Sadhna Phanse Canada 18 947 0.5× 212 0.5× 93 0.7× 67 0.6× 40 0.7× 45 1.2k
Kai-Fa Huang Taiwan 21 689 0.3× 338 0.8× 86 0.7× 106 1.0× 93 1.6× 56 1.1k
Allen R. Buskirk United States 24 2.4k 1.2× 598 1.4× 327 2.6× 64 0.6× 96 1.7× 40 2.5k

Countries citing papers authored by Jiqiang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Jiqiang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiqiang Ling. 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 Jiqiang Ling. The network helps show where Jiqiang Ling may publish in the future.

Co-authorship network of co-authors of Jiqiang Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Jiqiang Ling. A scholar is included among the top collaborators of Jiqiang Ling 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 Jiqiang Ling. Jiqiang Ling 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.
Zhang, Hong & Jiqiang Ling. (2025). Serine mistranslation induces the integrated stress response through the P stalk. Journal of Biological Chemistry. 301(5). 108447–108447. 1 indexed citations
2.
Zhang, Hong & Jiqiang Ling. (2024). Aminoacyl‐tRNA synthetase defects in neurological diseases. IUBMB Life. 77(1). e2924–e2924. 2 indexed citations
3.
Shuster, M.D., et al.. (2024). Salmonella Typhimurium infection inhibits macrophage IFNβ signaling in a TLR4-dependent manner. Infection and Immunity. 92(10). e0009824–e0009824. 1 indexed citations
4.
Ling, Jiqiang, et al.. (2024). Suppression of amber stop codons impairs pathogenicity in Salmonella. FEBS Letters. 599(4). 476–487.
5.
Douglas, Jordan, Haissi Cui, John J. Perona, et al.. (2024). AARS Online: A collaborative database on the structure, function, and evolution of the aminoacyl‐ tRNA synthetases. IUBMB Life. 76(12). 1091–1105. 7 indexed citations
6.
Kolomeisky, Anatoly B., et al.. (2020). Trade-Offs between Speed, Accuracy, and Dissipation in tRNA Ile Aminoacylation. The Journal of Physical Chemistry Letters. 11(10). 4001–4007. 12 indexed citations
7.
Zhang, Hong, Yongqiang Fan, Christopher R. Evans, et al.. (2020). Metabolic stress promotes stop-codon readthrough and phenotypic heterogeneity. Proceedings of the National Academy of Sciences. 117(36). 22167–22172. 26 indexed citations
8.
Zhang, Zhao, Youqiong Ye, Jing Gong, et al.. (2018). Global analysis of tRNA and translation factor expression reveals a dynamic landscape of translational regulation in human cancers. Communications Biology. 1(1). 234–234. 58 indexed citations
9.
Fan, Yongqiang, Christopher R. Evans, Karl W. Barber, et al.. (2017). Heterogeneity of Stop Codon Readthrough in Single Bacterial Cells and Implications for Population Fitness. Molecular Cell. 67(5). 826–836.e5. 38 indexed citations
10.
Evans, Christopher R. & Jiqiang Ling. (2017). Visualizing translational errors: one cell at a time. Current Genetics. 64(3). 551–554. 5 indexed citations
11.
Fan, Yongqiang, Christopher R. Evans, & Jiqiang Ling. (2017). Rewiring protein synthesis: From natural to synthetic amino acids. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(11). 3024–3029. 7 indexed citations
12.
Ognjenović, Jana, Jiang Wu, Doreen Matthies, et al.. (2016). The crystal structure of human GlnRS provides basis for the development of neurological disorders. Nucleic Acids Research. 44(7). 3420–3431. 15 indexed citations
13.
Krishnakumar, R., Laure Prat, Hans R. Aerni, et al.. (2013). Transfer RNA Misidentification Scrambles Sense Codon Recoding. ChemBioChem. 14(15). 1967–1972. 36 indexed citations
14.
O’Donoghue, Patrick, Jiqiang Ling, Yane‐Shih Wang, & Dieter Söll. (2013). Upgrading protein synthesis for synthetic biology. Nature Chemical Biology. 9(10). 594–598. 133 indexed citations
15.
Ling, Jiqiang, et al.. (2012). Protein Aggregation Caused by Aminoglycoside Action Is Prevented by a Hydrogen Peroxide Scavenger. Molecular Cell. 48(5). 713–722. 93 indexed citations
16.
Ling, Jiqiang, et al.. (2012). Yeast mitochondrial threonyl-tRNA synthetase recognizes tRNA isoacceptors by distinct mechanisms and promotes CUN codon reassignment. Proceedings of the National Academy of Sciences. 109(9). 3281–3286. 24 indexed citations
17.
Söll, Dieter, et al.. (2012). Rational design and directed evolution of a bacterial-type glutaminyl-tRNA synthetase precursor. Nucleic Acids Research. 40(16). 7967–7974. 11 indexed citations
18.
Su, Dan, et al.. (2011). An unusual tRNAThr derived from tRNAHis reassigns in yeast mitochondria the CUN codons to threonine. Nucleic Acids Research. 39(11). 4866–4874. 30 indexed citations
19.
Roy, Hervé, Jiqiang Ling, Irnov Irnov, & Michael Ibba. (2004). Post‐transfer editing in vitro and in vivo by the β subunit of phenylalanyl‐tRNA synthetase. The EMBO Journal. 23(23). 4639–4648. 128 indexed citations
20.
Di, Yujun, Jinjun Li, Fang Ji, et al.. (2003). Cloning and characterization of a novel gene which encodes a protein interacting with the mitosis-associated kinase-like protein NTKL. Journal of Human Genetics. 48(6). 315–321. 22 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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