Jing Wu

15.6k total citations
103 papers, 3.0k citations indexed

About

Jing Wu is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jing Wu has authored 103 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Genetics and 14 papers in Immunology. Recurrent topics in Jing Wu's work include HIV Research and Treatment (13 papers), Tryptophan and brain disorders (9 papers) and Schizophrenia research and treatment (7 papers). Jing Wu is often cited by papers focused on HIV Research and Treatment (13 papers), Tryptophan and brain disorders (9 papers) and Schizophrenia research and treatment (7 papers). Jing Wu collaborates with scholars based in China, Australia and United States. Jing Wu's co-authors include Xiang Yang Zhang, Thomas R. Kosten, Murray J. Cairns, Rodney J. Scott, Vaughan J. Carr, Paul A. Tooney, Natalie J. Beveridge, Melissa J. Green, Nitin K. Saksena and Erin Gardiner and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Jing Wu

97 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Wu China 27 1.2k 408 371 350 309 103 3.0k
Marti Jett United States 38 1.7k 1.5× 254 0.6× 315 0.8× 410 1.2× 373 1.2× 163 5.6k
Peter Fitzgerald United States 37 2.8k 2.4× 229 0.6× 702 1.9× 410 1.2× 129 0.4× 81 5.2k
Bikash Medhi India 37 1.4k 1.2× 318 0.8× 287 0.8× 194 0.6× 129 0.4× 254 5.3k
Christina Alves Peixoto Brazil 30 1.0k 0.9× 648 1.6× 123 0.3× 199 0.6× 101 0.3× 155 3.1k
Li Tian China 34 1.7k 1.5× 154 0.4× 238 0.6× 665 1.9× 509 1.6× 197 5.0k
Seth W. Perry United States 27 1.8k 1.5× 259 0.6× 131 0.4× 514 1.5× 186 0.6× 49 4.1k
Renato Bernardini Italy 36 1.1k 1.0× 164 0.4× 177 0.5× 391 1.1× 183 0.6× 136 4.4k
Rasha Hammamieh United States 29 1.2k 1.0× 108 0.3× 213 0.6× 350 1.0× 246 0.8× 147 2.8k
Kai Xia China 31 2.4k 2.0× 204 0.5× 452 1.2× 205 0.6× 211 0.7× 99 3.5k
Richard Chen United States 27 1.3k 1.1× 165 0.4× 309 0.8× 83 0.2× 331 1.1× 133 3.7k

Countries citing papers authored by Jing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Wu. A scholar is included among the top collaborators of Jing 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 Jing Wu. Jing Wu 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.
Li, Yingru, Ping Wu, Fengjiang Sun, et al.. (2025). Association between Urinary Copper and Gestational Diabetes Mellitus: Role of Epigenome-Wide DNA Methylation and Proteomics. The Journal of Clinical Endocrinology & Metabolism. 111(4). 1136–1146. 2 indexed citations
2.
Lambert, Samuel A., Joel T. Gibson, Laurent Gil, et al.. (2024). Enhancing the Polygenic Score Catalog with tools for score calculation and ancestry normalization. Nature Genetics. 56(10). 1989–1994. 14 indexed citations
3.
Dakic, Aleksandar, Jing Wu, Tingting Wang, et al.. (2024). Imputation of plasma lipid species to facilitate integration of lipidomic datasets. Nature Communications. 15(1). 1540–1540. 1 indexed citations
4.
Cheng, Qi, Jing Wu, Shihu Zhang, et al.. (2023). Disruption of protein geranylgeranylation in the cerebellum causes cerebellar hypoplasia and ataxia via blocking granule cell progenitor proliferation. Molecular Brain. 16(1). 24–24. 2 indexed citations
5.
6.
Zhang, Jingqi, Jing Wu, Hong Xue, et al.. (2020). Association of hypertension with the severity and fatality of SARS-CoV-2 infection: A meta-analysis. Epidemiology and Infection. 148. e106–e106. 72 indexed citations
7.
8.
Shi, Jing, Yun Tan, Jia Li, et al.. (2016). Ginkgo biloba and vitamin E ameliorate haloperidol-induced vacuous chewingmovement and brain-derived neurotrophic factor expression in a rat tardive dyskinesia model. Pharmacology Biochemistry and Behavior. 148. 53–58. 14 indexed citations
9.
Wu, Jing, Da Chun Chen, Yun Tan, et al.. (2016). Altered interleukin-18 levels are associated with cognitive impairment in chronic schizophrenia. Journal of Psychiatric Research. 76. 9–15. 26 indexed citations
10.
Zhang, Xiang Yang, Yun-Long Tan, Xingguang Luο, et al.. (2015). A functional polymorphism in the interleukin-1beta and severity of nicotine dependence in male schizophrenia: A case-control study. Journal of Psychiatric Research. 64. 51–58. 5 indexed citations
11.
Gupta, Priyanka, Jing Wu, Vincent Soriano, et al.. (2014). Genome-wide mRNA and miRNA analysis of peripheral blood mononuclear cells (PBMC) reveals different miRNAs regulating HIV/HCV co-infection. Virology. 450-451. 336–349. 31 indexed citations
12.
Wu, Jing, Da Chun Chen, Yunlong Tan, et al.. (2014). Association of altered CuZn superoxide dismutase and cognitive impairment in schizophrenia patients with tardive dyskinesia. Journal of Psychiatric Research. 58. 167–174. 16 indexed citations
13.
Wu, Jing, Xi Wang, Natalie J. Beveridge, et al.. (2012). Transcriptome Sequencing Revealed Significant Alteration of Cortical Promoter Usage and Splicing in Schizophrenia. PLoS ONE. 7(4). e36351–e36351. 83 indexed citations
14.
Green, Melissa J., Murray J. Cairns, Jing Wu, et al.. (2012). Genome-wide supported variant MIR137 and severe negative symptoms predict membership of an impaired cognitive subtype of schizophrenia. Molecular Psychiatry. 18(7). 774–780. 127 indexed citations
15.
16.
Wu, Jing, Dominic E. Dwyer, Wayne B. Dyer, et al.. (2011). Genome-wide analysis of primary CD4+ and CD8+ T cell transcriptomes shows evidence for a network of enriched pathways associated with HIV disease. Retrovirology. 8(1). 18–18. 50 indexed citations
17.
Thabet, Salim, Jing Wu, Yelena Blinder, et al.. (2011). The role of CD8+ T lymphocytes, IP-10 and MMP12 in hypertension. The FASEB Journal. 25. 1 indexed citations
18.
Li‐Byarlay, Hongmei, Omprakash Mittapalli, William M. Muir, et al.. (2010). Bowman‐Birk inhibitor affects pathways associated with energy metabolism in Drosophila melanogaster. Insect Molecular Biology. 19(3). 303–313. 9 indexed citations
19.
Wu, Jing & Mingjun Zhang. (2010). A Game Theoretical Approach to Optimal Control of Dual Drug Delivery for HIV Infection Treatment. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 40(3). 694–702. 10 indexed citations
20.
Wu, Jing, Karl A. Hassan, Ronald A. Skurray, & Melissa H. Brown. (2008). Functional analyses reveal an important role for tyrosine residues in the staphylococcal multidrug efflux protein QacA. BMC Microbiology. 8(1). 147–147. 14 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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