Na Wu

3.6k total citations · 1 hit paper
57 papers, 1.6k citations indexed

About

Na Wu is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Na Wu has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Plant Science. Recurrent topics in Na Wu's work include Gut microbiota and health (9 papers), Genetic diversity and population structure (6 papers) and MicroRNA in disease regulation (5 papers). Na Wu is often cited by papers focused on Gut microbiota and health (9 papers), Genetic diversity and population structure (6 papers) and MicroRNA in disease regulation (5 papers). Na Wu collaborates with scholars based in China, Canada and Belarus. Na Wu's co-authors include Xinyun Qiu, Yulan Liu, Weiwei Jiang, Yujing Chi, Xuemei Wang, Ying Hu, Jing Li, Yuanyuan Zhang, Xi Yang and Yongfei Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Na Wu

51 papers receiving 1.6k citations

Hit Papers

Dysbiosis gut microbiota associated with inflammation and... 2015 2026 2018 2022 2015 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
Na Wu China 16 1.1k 396 282 242 186 57 1.6k
Diana H. Taft United States 19 1.1k 1.0× 244 0.6× 157 0.6× 248 1.0× 327 1.8× 43 2.1k
M. Nazmul Huda United States 17 837 0.8× 196 0.5× 190 0.7× 320 1.3× 230 1.2× 49 1.6k
Joy Scaria United States 23 846 0.8× 215 0.5× 104 0.4× 524 2.2× 408 2.2× 84 1.8k
Eugeni Belda France 24 1.3k 1.2× 243 0.6× 416 1.5× 159 0.7× 96 0.5× 47 2.1k
Mihaela Pruteanu Germany 13 1.6k 1.5× 145 0.4× 367 1.3× 456 1.9× 238 1.3× 15 2.1k
Véronique Blanc France 17 1.1k 1.0× 433 1.1× 378 1.3× 422 1.7× 85 0.5× 39 1.9k
Romy D. Zwittink Netherlands 20 810 0.8× 198 0.5× 97 0.3× 391 1.6× 187 1.0× 34 1.4k
Manimozhiyan Arumugam Denmark 21 2.6k 2.5× 388 1.0× 590 2.1× 471 1.9× 434 2.3× 41 3.7k
Ye Feng China 33 1.5k 1.4× 401 1.0× 119 0.4× 435 1.8× 494 2.7× 144 3.4k

Countries citing papers authored by Na Wu

Since Specialization
Citations

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

Fields of papers citing papers by Na Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Na Wu. A scholar is included among the top collaborators of Na 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 Na Wu. Na 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.
Wang, Yunqiang, et al.. (2025). Identification of Candidate Genes for Green Rind Color in Watermelon. Plants. 14(1). 113–113. 1 indexed citations
2.
Ma, Jing, et al.. (2025). Executive environmental concerns, patient capital, and corporate green innovation performance. International Review of Financial Analysis. 108. 104702–104702.
3.
Wu, Na, Yun Fang, Junlin Xie, et al.. (2024). Molecular mechanisms of MAZ targeting up-regulation of NDUFS3 expression to promote malignant progression in melanoma. Communications Biology. 7(1). 1491–1491.
4.
Ren, Ping, et al.. (2023). miR-122-5p Restrains Pancreatic Cancer Cell Growth and Causes Apoptosis by Negatively Regulating ASCT2. Anticancer Research. 43(10). 4379–4388. 14 indexed citations
5.
Chen, Chen, Lili Lu, Shuya Ma, et al.. (2023). Analysis of PAT1 subfamily members in the GRAS family of upland cotton and functional characterization of GhSCL13-2A in Verticillium dahliae resistance. Plant Cell Reports. 42(3). 487–504. 9 indexed citations
6.
Wu, Na, Y. Wu, Yunzhuo Chu, et al.. (2023). The first rare case of Candida palmioleophila infection reported in China and its genomic evolution in a human host environment. Frontiers in Microbiology. 14. 1165721–1165721. 3 indexed citations
7.
Zhou, Wei, et al.. (2023). Genetic mapping of a single nuclear locus determines the white flesh color in watermelon (Citrullus lanatus L.). Frontiers in Plant Science. 14. 1090009–1090009. 6 indexed citations
8.
Deng, Chang-Qing, Jia Hu, Ling He, et al.. (2023). Daucosterol combined with umbilical cord mesenchymal stem cell-derived exosomes can alleviate liver damage in liver failure mice by regulating the IL-6/STAT3 signaling pathway. Cancer Biology & Therapy. 24(1). 2184150–2184150. 13 indexed citations
9.
Wu, Na, Song Wang, Tatjana N. Dujsebayeva, et al.. (2023). Geography and past climate changes have shaped the evolution of a widespread lizard in arid Central Asia. Molecular Phylogenetics and Evolution. 184. 107781–107781. 5 indexed citations
10.
Shi, Cheng, et al.. (2023). A combined clinical and specific genes’ model to predict live birth for in vitro fertilization and embryo transfer patients. BMC Pregnancy and Childbirth. 23(1). 702–702. 3 indexed citations
11.
Wu, Na, et al.. (2022). The Gut Mycobiome Characterization of Gestational Diabetes Mellitus and Its Association With Dietary Intervention. Frontiers in Microbiology. 13. 892859–892859. 13 indexed citations
12.
Xu, Jun, Ning Chen, Zhe Wu, et al.. (2018). 5-Aminosalicylic Acid Alters the Gut Bacterial Microbiota in Patients With Ulcerative Colitis. Frontiers in Microbiology. 9. 1274–1274. 137 indexed citations
13.
Hu, Yongfei, Xi Yang, Jing Li, et al.. (2016). The Bacterial Mobile Resistome Transfer Network Connecting the Animal and Human Microbiomes. Applied and Environmental Microbiology. 82(22). 6672–6681. 257 indexed citations
14.
15.
Qiu, Xinyun, Feng Zhang, Xi Yang, et al.. (2015). Changes in the composition of intestinal fungi and their role in mice with dextran sulfate sodium-induced colitis. Scientific Reports. 5(1). 10416–10416. 106 indexed citations
16.
Wu, Na, et al.. (2014). The inoculum effect of antibiotics against CTX-M-extended-spectrum β-lactamase-producing Escherichia coli. Annals of Clinical Microbiology and Antimicrobials. 13(1). 45–45. 19 indexed citations
17.
Wang, Yuhang, Shouwen Du, Yanxin Qi, et al.. (2012). Characterization of an attenuated TE3L-deficient vaccinia virus Tian Tan strain. Antiviral Research. 96(3). 324–332. 11 indexed citations
18.
Wu, Na, et al.. (2011). China Confidential: Methodological and Ethical Challenges in Global Nursing Historiography. Nursing History Review. 20(1). 162–183. 1 indexed citations
19.
Wu, Na, et al.. (2010). Association of the promoter polymorphism of tumor necrosis factor alpha 308 G/A gene with the type 2 diabetes mellitus: a meta-analysis.. 30(10). 927–929. 4 indexed citations
20.
Wang, Wenlong, et al.. (2005). Culture of Exobasidium Gracile(Shirai)Syd and Its Stimulating Effects. Journal of Jishou University. 26(4). 103. 2 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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