Jiaxin Qu

8.2k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Jiaxin Qu is a scholar working on Molecular Biology, Infectious Diseases and Insect Science. According to data from OpenAlex, Jiaxin Qu has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Insect Science. Recurrent topics in Jiaxin Qu's work include RNA modifications and cancer (2 papers), Insect symbiosis and bacterial influences (2 papers) and Viral Infections and Vectors (2 papers). Jiaxin Qu is often cited by papers focused on RNA modifications and cancer (2 papers), Insect symbiosis and bacterial influences (2 papers) and Viral Infections and Vectors (2 papers). Jiaxin Qu collaborates with scholars based in United States, Germany and New Zealand. Jiaxin Qu's co-authors include Richard A. Gibbs, Kim C. Worley, Yi Han, Donna M. Muzny, Adam C. English, Stephen M. Richards, Vanesa Vee, Min Wang, Xiang Qin and Jeffrey G. Reid and has published in prestigious journals such as PLoS ONE, Molecular Biology and Evolution and BMC Cancer.

In The Last Decade

Jiaxin Qu

8 papers receiving 1.1k citations

Hit Papers

Mind the Gap: Upgrading Genomes with Pacific Biosciences ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaxin Qu United States 7 472 313 260 232 176 9 1.1k
Daniel R. G. Price United Kingdom 18 665 1.4× 374 1.2× 732 2.8× 149 0.6× 149 0.8× 42 1.3k
Guillaume Tetreau France 23 810 1.7× 389 1.2× 810 3.1× 152 0.7× 98 0.6× 49 1.4k
Joana C. Silva United States 20 586 1.2× 375 1.2× 252 1.0× 240 1.0× 587 3.3× 67 1.6k
Huifang Guo China 20 321 0.7× 304 1.0× 841 3.2× 231 1.0× 134 0.8× 81 1.4k
Karine Mouline France 19 396 0.8× 1.1k 3.5× 161 0.6× 154 0.7× 55 0.3× 45 1.7k
Kostas D. Mathiopoulos Greece 24 778 1.6× 485 1.5× 880 3.4× 265 1.1× 161 0.9× 57 1.8k
Alessandra A. Guarneri Brazil 25 264 0.6× 124 0.4× 844 3.2× 85 0.4× 172 1.0× 60 1.4k
Tatiana Teixeira Torres Brazil 18 471 1.0× 171 0.5× 322 1.2× 224 1.0× 45 0.3× 40 1.1k
Jesus Aparecido Ferro Brazil 26 741 1.6× 744 2.4× 89 0.3× 396 1.7× 90 0.5× 104 2.0k
Dominique Colinet France 21 221 0.5× 401 1.3× 778 3.0× 243 1.0× 84 0.5× 38 1.2k

Countries citing papers authored by Jiaxin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxin Qu

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

All Works

9 of 9 papers shown
1.
Tran, Kevin, Michał Marczyk, Chunxiao Fu, et al.. (2024). Comparative analysis of Ficoll-Hypaque and CytoLyt techniques for blood removal in breast cancer malignant effusions: effects on RNA quality and sequencing outcomes. Journal of the American Society of Cytopathology. 14(2). 91–101.
2.
Wang, Yikai, et al.. (2023). Intelligent Monitoring Method of Helmet Wearing Identification in Power Plants. 1699–1703. 1 indexed citations
3.
4.
Eyun, Seong‐il, Ho Young Soh, Marijan Posavi, et al.. (2017). Evolutionary History of Chemosensory-Related Gene Families across the Arthropoda. Molecular Biology and Evolution. 34(8). 1838–1862. 125 indexed citations
5.
Newton, Irene L. G., Michael E. Clark, Seth R. Bordenstein, et al.. (2016). Comparative Genomics of Two Closely RelatedWolbachiawith Different Reproductive Effects on Hosts. Genome Biology and Evolution. 8(5). 1526–1542. 31 indexed citations
6.
Sloan, Daniel B., Atsushi Nakabachi, Stephen Richards, et al.. (2014). Parallel Histories of Horizontal Gene Transfer Facilitated Extreme Reduction of Endosymbiont Genomes in Sap-Feeding Insects. Molecular Biology and Evolution. 31(4). 857–871. 158 indexed citations
7.
English, Adam C., Stephen M. Richards, Yi Han, et al.. (2012). Mind the Gap: Upgrading Genomes with Pacific Biosciences RS Long-Read Sequencing Technology. PLoS ONE. 7(11). e47768–e47768. 582 indexed citations breakdown →
8.
Palaniappan, Raghavan U. M., Yung‐Fu Chang, Michael Pan, et al.. (2004). Evaluation of lig-based conventional and real time PCR for the detection of pathogenic leptospires. Molecular and Cellular Probes. 19(2). 111–117. 93 indexed citations
9.
Palaniappan, Raghavan U. M., Yung‐Fu Chang, Fahad Hassan, et al.. (2004). Expression of leptospiral immunoglobulin-like protein by Leptospira interrogans and evaluation of its diagnostic potential in a kinetic ELISA. Journal of Medical Microbiology. 53(10). 975–984. 67 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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