Na Wu

2.0k total citations · 1 hit paper
55 papers, 1.4k citations indexed

About

Na Wu is a scholar working on Obstetrics and Gynecology, Molecular Biology and Surgery. According to data from OpenAlex, Na Wu has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Obstetrics and Gynecology, 17 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Na Wu's work include Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (13 papers) and Birth, Development, and Health (7 papers). Na Wu is often cited by papers focused on Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (13 papers) and Birth, Development, and Health (7 papers). Na Wu collaborates with scholars based in China, United Kingdom and Türkiye. Na Wu's co-authors include Haitao Shen, Danyang Li, Ping Han, Ying Yang, Ling Li, Hong Ouyang, Yuxin Liu, Bing He, Yujing He and Henan Liu and has published in prestigious journals such as Life Sciences, Obesity and Microporous and Mesoporous Materials.

In The Last Decade

Na Wu

52 papers receiving 1.3k citations

Hit Papers

Gestational Diabetes Mellitus and Preeclampsia: Correlati... 2022 2026 2023 2024 2022 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gestational Diabetes Mellitus and Preeclampsia: Correlation and Influencing Factors
    2022 88 citations Na Wu et al. profile →

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 21 412 297 230 192 182 55 1.4k
Gloria Bonaccorsi Italy 22 415 1.0× 230 0.8× 216 0.9× 138 0.7× 184 1.0× 74 1.7k
Eliana Hiromi Akamine Brazil 24 344 0.8× 207 0.7× 272 1.2× 152 0.8× 319 1.8× 58 1.6k
Katalin Fekete Hungary 18 324 0.8× 123 0.4× 157 0.7× 118 0.6× 215 1.2× 33 1.5k
Xiaohong Lin China 18 297 0.7× 218 0.7× 172 0.7× 196 1.0× 103 0.6× 51 1.1k
Remise Gelışgen Türkiye 19 296 0.7× 117 0.4× 134 0.6× 119 0.6× 99 0.5× 77 1.1k
Figen Gürdöl Türkiye 21 156 0.4× 131 0.4× 128 0.6× 102 0.5× 82 0.5× 61 966
Camilla F. Wenceslau United States 24 633 1.5× 88 0.3× 210 0.9× 142 0.7× 126 0.7× 71 1.8k
Anna Leonardini Italy 19 443 1.1× 89 0.3× 319 1.4× 279 1.5× 117 0.6× 25 1.2k
Bernhard Watzer Germany 20 296 0.7× 94 0.3× 92 0.4× 123 0.6× 149 0.8× 38 1.0k

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.
Fang, Lei, et al.. (2025). Synergistic regulation of photoluminescence in covalent organic frameworks by linkages and functional groups. Microporous and Mesoporous Materials. 390. 113579–113579. 1 indexed citations
2.
Xun, Yang, et al.. (2024). Research Progress of Alternative Polyadenylation in Diseases Related to Glycolipid Metabolism. Diabetes Metabolic Syndrome and Obesity. Volume 17. 4277–4286. 1 indexed citations
3.
Li, Danyang, et al.. (2024). Association between serum free fatty acids and gestational diabetes mellitus. Frontiers in Endocrinology. 15. 1451769–1451769. 2 indexed citations
4.
Wu, Na, et al.. (2023). A novel reconstruction strategy in esophagectomy for megaesophagus. JTCVS Techniques. 22. 307–311.
5.
6.
Hu, Weipeng, et al.. (2023). Left-primary & right-auxiliary operation mode in mediastinoscope-assisted radical esophagectomy. Surgical Endoscopy. 37(10). 7884–7892. 1 indexed citations
7.
Wu, Na, et al.. (2022). MicroRNAs and Exosomal microRNAs May Be Possible Targets to Investigate in Gestational Diabetes Mellitus. Dove Medical Press (Taylor and Francis Group). 14 indexed citations
8.
Wu, Na, et al.. (2022). circMAP3K4 regulates insulin resistance in trophoblast cells during gestational diabetes mellitus by modulating the miR-6795-5p/PTPN1 axis. Journal of Translational Medicine. 20(1). 180–180. 32 indexed citations
9.
Li, Danyang & Na Wu. (2022). Mechanism and application of exosomes in the wound healing process in diabetes mellitus. Diabetes Research and Clinical Practice. 187. 109882–109882. 96 indexed citations
10.
11.
Ouyang, Hong, et al.. (2021). Research progress of metformin in gestational diabetes mellitus: a narrative review. Annals of Palliative Medicine. 10(3). 3423–3437. 6 indexed citations
12.
Ouyang, Hong, Bo Chen, Na Wu, et al.. (2021). X-linked congenital adrenal hypoplasia: a case presentation. BMC Endocrine Disorders. 21(1). 118–118. 2 indexed citations
13.
Wu, Na, et al.. (2021). Application Progress of Nano Silver Dressing in the Treatment of Diabetic Foot. Diabetes Metabolic Syndrome and Obesity. Volume 14. 4145–4154. 14 indexed citations
14.
Liu, Yuxin & Na Wu. (2021). Progress of Nanotechnology in Diabetic Retinopathy Treatment. International Journal of Nanomedicine. Volume 16. 1391–1403. 78 indexed citations
15.
Shen, Haitao, et al.. (2017). MyD88 gene knockout attenuates paraquat-induced acute lung injury. Toxicology Letters. 269. 41–46. 15 indexed citations
16.
Shen, Haitao, Na Wu, Yu Wang, et al.. (2017). Chloroquine attenuates paraquat-induced lung injury in mice by altering inflammation, oxidative stress and fibrosis. International Immunopharmacology. 46. 16–22. 60 indexed citations
17.
Shen, Haitao, Na Wu, Yu Wang, et al.. (2017). JNK Inhibitor SP600125 Attenuates Paraquat-Induced Acute Lung Injury: an In Vivo and In Vitro Study. Inflammation. 40(4). 1319–1330. 40 indexed citations
18.
Shen, Haitao, Na Wu, Zhenning Liu, Hongyu Zhao, & Min Zhao. (2016). Epigallocatechin-3-gallate alleviates paraquat-induced acute lung injury and inhibits upregulation of toll-like receptors. Life Sciences. 170. 25–32. 41 indexed citations
19.
Zhang, Yongyan, Ping Han, Na Wu, et al.. (2011). Amelioration of Lipid Abnormalities by α‐Lipoic acid Through Antioxidative and Anti‐Inflammatory Effects. Obesity. 19(8). 1647–1653. 103 indexed citations
20.
Wu, Na, Bing He, Yongyan Zhang, et al.. (2010). Taurine prevents free fatty acid-induced hepatic insulin resistance in association with inhibiting JNK1 activation and improving insulin signaling in vivo. Diabetes Research and Clinical Practice. 90(3). 288–296. 39 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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