De Wu

8.7k total citations · 1 hit paper
336 papers, 6.4k citations indexed

About

De Wu is a scholar working on Animal Science and Zoology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, De Wu has authored 336 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Animal Science and Zoology, 99 papers in Molecular Biology and 56 papers in Public Health, Environmental and Occupational Health. Recurrent topics in De Wu's work include Animal Nutrition and Physiology (92 papers), Animal Behavior and Welfare Studies (46 papers) and Gut microbiota and health (38 papers). De Wu is often cited by papers focused on Animal Nutrition and Physiology (92 papers), Animal Behavior and Welfare Studies (46 papers) and Gut microbiota and health (38 papers). De Wu collaborates with scholars based in China, United States and Denmark. De Wu's co-authors include Zhengfeng Fang, Shengyu Xu, Lianqiang Che, Yan Lin, Bin Feng, Yong Zhuo, Julang Li, Daiwen Chen, Burton B. Yang and Liang Hu and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

De Wu

323 papers receiving 6.3k citations

Hit Papers

Fibroblast growth factor ... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
De Wu 2.2k 1.7k 941 891 768 336 6.4k
Timothy A. Reinhardt 1.8k 0.8× 699 0.4× 344 0.4× 1.3k 1.4× 1.1k 1.4× 169 7.9k
Torres Sweeney 1.9k 0.8× 2.5k 1.5× 148 0.2× 1.2k 1.4× 885 1.2× 276 7.1k
Zhaolai Dai 3.3k 1.5× 1.3k 0.8× 234 0.2× 943 1.1× 337 0.4× 107 6.9k
Boon P. Chew 1.5k 0.7× 785 0.5× 347 0.4× 1.5k 1.7× 396 0.5× 142 6.2k
Defa Li 2.8k 1.3× 2.8k 1.6× 215 0.2× 1.5k 1.7× 726 0.9× 185 8.6k
L. J. Spicer 1.4k 0.6× 1.1k 0.6× 3.1k 3.3× 324 0.4× 477 0.6× 231 9.7k
D. Sklan 1.9k 0.9× 6.9k 4.1× 443 0.5× 1.7k 1.9× 669 0.9× 260 12.7k
Xiangfang Zeng 2.6k 1.2× 1.4k 0.8× 202 0.2× 564 0.6× 327 0.4× 132 5.3k
H. Sauerwein 745 0.3× 1.6k 1.0× 202 0.2× 795 0.9× 1.2k 1.5× 256 5.5k
Donald C. Beitz 1.5k 0.7× 1.9k 1.1× 251 0.3× 1.3k 1.4× 807 1.1× 240 7.6k

Countries citing papers authored by De Wu

Since Specialization
Citations

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

Fields of papers citing papers by De Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of De Wu

This figure shows the co-authorship network connecting the top 25 collaborators of De Wu. A scholar is included among the top collaborators of De 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 De Wu. De 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
2.
Li, Dan, Min Yang, Zhao Ma, et al.. (2025). Glycerol Monolaurate Complex Improved Antioxidant, Anti-Inflammation, and Gut Microbiota Composition of Offspring in a Sow–Piglet Model. Veterinary Sciences. 12(1). 24–24. 2 indexed citations
3.
Li, Shuang, Jie Zheng, Zhao Yang, et al.. (2025). Lactobacillus strains from sows improve swine appetite by reducing the pro-inflammatory cytokine concentrations. Animal nutrition. 23. 112–137.
5.
Sun, Mengmeng, Qiushu Chen, Yingying Ren, et al.. (2024). CoNiCoNC tumor therapy by two-ways producing H2O2 to aggravate energy metabolism, chemokinetics, and ferroptosis. Journal of Colloid and Interface Science. 678(Pt B). 925–937. 3 indexed citations
6.
Xie, Guangrong, Qipeng Zhang, Zhengfeng Fang, et al.. (2024). Maternal Vitamin D3 Supplementation in an Oxidized-Oil Diet Protects Fetus from Developmental Impairment and Ameliorates Oxidative Stress in Mouse Placenta and Fetus. Journal of Nutrition. 154(10). 2920–2931. 1 indexed citations
8.
Chen, Fangyuan, Tianle Gao, Xiaoling Zhang, et al.. (2023). Maternal folic acid and vitamin B12 supplementation during medium to late gestation promotes fetal development via improving placental antioxidant capacity, angiogenesis and amino acid transport. Journal of the Science of Food and Agriculture. 104(5). 2832–2841. 6 indexed citations
10.
Wu, De, Wenxian Zeng, Lianqiang Che, et al.. (2021). Arginine promotes testicular development in boars through nitric oxide and putrescine. Journal of Animal Physiology and Animal Nutrition. 106(2). 266–275. 4 indexed citations
11.
Hua, Lun, Bin Feng, Jing Li, et al.. (2020). Time‐restricted feeding improves the reproductive function of female mice via liver fibroblast growth factor 21. SHILAP Revista de lepidopterología. 10(6). e195–e195. 29 indexed citations
12.
Lin, Sen, Xiaomin Yang, Jiameng Yang, et al.. (2019). Undernutrition Shapes the Gut Microbiota and Bile Acid Profile in Association with Altered Gut-Liver FXR Signaling in Weaning Pigs. Journal of Agricultural and Food Chemistry. 67(13). 3691–3701. 39 indexed citations
13.
Wang, Peng, Sen Lin, Xiaoling Zhang, et al.. (2019). Transcriptome Profiling of Placenta through Pregnancy Reveals Dysregulation of Bile Acids Transport and Detoxification Function. International Journal of Molecular Sciences. 20(17). 4099–4099. 14 indexed citations
14.
Li, Yang, Lijia Zhang, Haoyu Liu, et al.. (2019). Effects of the Ratio of Insoluble Fiber to Soluble Fiber in Gestation Diets on Sow Performance and Offspring Intestinal Development. Animals. 9(7). 422–422. 37 indexed citations
15.
Wang, Peng, Bin Feng, Xiaoling Zhang, et al.. (2019). Mammary Protein Synthesis upon Long-Term Nutritional Restriction Was Attenuated by Oxidative-Stress-Induced Inhibition of Vacuolar H+-Adenosine Triphosphatase/Mechanistic Target of Rapamycin Complex 1 Signaling. Journal of Agricultural and Food Chemistry. 67(32). 8950–8957. 2 indexed citations
16.
Xu, Shengyu, Pan Zhang, Meng Cao, et al.. (2019). Microbial Mechanistic Insights into the Role of Sweet Potato Vine on Improving Health in Chinese Meishan Gilt Model. Animals. 9(9). 632–632. 6 indexed citations
17.
Cao, Meng, Yong Zhuo, Zipeng Li, et al.. (2019). Optimal Dietary Fiber Intake to Retain a Greater Ovarian Follicle Reserve for Gilts. Animals. 9(11). 881–881. 7 indexed citations
18.
Liu, Peilin, Long Che, Zhenguo Yang, et al.. (2016). A Maternal High-Energy Diet Promotes Intestinal Development and Intrauterine Growth of Offspring. Nutrients. 8(5). 258–258. 17 indexed citations
19.
Li, Hao, Guangmang Liu, Yves Mercier, et al.. (2016). Increased maternal consumption of methionine as its hydroxyl analog promoted neonatal intestinal growth without compromising maternal energy homeostasis. Journal of Animal Science and Biotechnology. 7(1). 46–46. 19 indexed citations
20.
Xu, Shengyu, Katja Linher‐Melville, Burton B. Yang, De Wu, & Julang Li. (2011). Micro-RNA378 (miR-378) Regulates Ovarian Estradiol Production by Targeting Aromatase. Endocrinology. 152(10). 3941–3951. 162 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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