Jiaqian Wu

6.4k total citations
10 papers, 274 citations indexed

About

Jiaqian Wu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Jiaqian Wu has authored 10 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Jiaqian Wu's work include Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Gene expression and cancer classification (2 papers). Jiaqian Wu is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Gene expression and cancer classification (2 papers). Jiaqian Wu collaborates with scholars based in United States, China and Spain. Jiaqian Wu's co-authors include Paula E. Burch, George M. Weinstock, David A. Wheeler, Rainer B. Lanz, Zhengdong Zhang, Richard A. Gibbs, Austin J. Cooney, Fred A. Pereira, Deyou Zheng and M Snyder and has published in prestigious journals such as Nature Communications, Genome Research and Molecular Psychiatry.

In The Last Decade

Jiaqian Wu

9 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiaqian Wu United States 7 165 85 41 33 30 10 274
Don Cameron Canada 8 287 1.7× 175 2.1× 39 1.0× 18 0.5× 29 1.0× 8 406
Maojun Zhou China 13 324 2.0× 19 0.2× 40 1.0× 56 1.7× 40 1.3× 31 437
Iris Keren-Tal Israel 9 179 1.1× 126 1.5× 16 0.4× 25 0.8× 40 1.3× 12 460
Raed Rizkallah United States 12 359 2.2× 37 0.4× 27 0.7× 25 0.8× 48 1.6× 18 472
Jinling Li China 11 301 1.8× 46 0.5× 45 1.1× 76 2.3× 39 1.3× 24 387
Manush Saydmohammed United States 8 200 1.2× 22 0.3× 24 0.6× 29 0.9× 56 1.9× 10 358
Aileen Paguio United States 5 210 1.3× 50 0.6× 73 1.8× 11 0.3× 42 1.4× 9 339
Tanya Z. Schulz United States 7 307 1.9× 182 2.1× 32 0.8× 19 0.6× 50 1.7× 9 459
Jill B. Graham United States 7 195 1.2× 29 0.3× 23 0.6× 41 1.2× 16 0.5× 8 400
Linda Hardy United States 11 223 1.4× 107 1.3× 12 0.3× 62 1.9× 35 1.2× 16 355

Countries citing papers authored by Jiaqian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jiaqian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaqian Wu

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

All Works

10 of 10 papers shown
1.
Wang, Xinyue, et al.. (2025). Why do older adults hesitate to get the flu vaccine? A cross-sectional study on vaccine hesitancy in the post-COVID-19 era. Frontiers in Public Health. 13. 1603091–1603091.
2.
Li, Yu, Wenbo Sun, Feng Qin, et al.. (2024). Transcriptome analysis reveals the effects of dietary protein level on growth performance and metabolism in adult Procambarus clarkii farming in rice field. Aquaculture Reports. 35. 101949–101949. 5 indexed citations
3.
Wei, Haichao, Ruifeng Hu, Laura Stertz, et al.. (2021). Angiogenic gene networks are dysregulated in opioid use disorder: evidence from multi-omics and imaging of postmortem human brain. Molecular Psychiatry. 26(12). 7803–7812. 24 indexed citations
4.
Yuan, Zihao, Xuejun Fan, Jay‐Jiguang Zhu, et al.. (2021). Presence of complete murine viral genome sequences in patient-derived xenografts. Nature Communications. 12(1). 2031–2031. 11 indexed citations
5.
Ricupero, Christopher L., Ling He, Jiaqian Wu, et al.. (2018). Profiling of Stem/Progenitor Cell Regulatory Genes of the Synovial Joint by Genome-Wide RNA-Seq Analysis. BioMed Research International. 2018. 1–9. 7 indexed citations
6.
Wu, Jiaqian. (2015). Transcriptomics and Gene Regulation. DIAL (Catholic University of Leuven). 15 indexed citations
7.
Wu, Jiaqian. (2011). Characterize Mammalian Transcriptome Complexity. 2 indexed citations
8.
Rozowsky, Joel, Daniel E. Newburger, Jiaqian Wu, et al.. (2007). The DART classification of unannotated transcription within the ENCODE regions: Associating transcription with known and novel loci. Genome Research. 17(6). 732–745. 20 indexed citations
9.
Trinklein, Nathan D., Ulaş Karaöz, Jiaqian Wu, et al.. (2007). Integrated analysis of experimental data sets reveals many novel promoters in 1% of the human genome. Genome Research. 17(6). 720–731. 25 indexed citations
10.
Zhang, Zhengdong, Paula E. Burch, Austin J. Cooney, et al.. (2004). Genomic Analysis of the Nuclear Receptor Family: New Insights Into Structure, Regulation, and Evolution From the Rat Genome. Genome Research. 14(4). 580–590. 165 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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