Li Zhu

7.7k total citations · 1 hit paper
197 papers, 4.5k citations indexed

About

Li Zhu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Li Zhu has authored 197 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 72 papers in Cancer Research and 49 papers in Genetics. Recurrent topics in Li Zhu's work include Cancer-related molecular mechanisms research (51 papers), MicroRNA in disease regulation (43 papers) and Genetic and phenotypic traits in livestock (34 papers). Li Zhu is often cited by papers focused on Cancer-related molecular mechanisms research (51 papers), MicroRNA in disease regulation (43 papers) and Genetic and phenotypic traits in livestock (34 papers). Li Zhu collaborates with scholars based in China, United States and Canada. Li Zhu's co-authors include Xuewei Li, Shunhua Zhang, Linyuan Shen, Lili Niu, Mingzhou Li, Lin Bai, Guoqing Tang, Yanzhi Jiang, Ye Zhao and Lei Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Chemistry.

In The Last Decade

Li Zhu

190 papers receiving 4.5k citations

Hit Papers

Short-Chain Fatty Acids a... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Zhu China 35 2.6k 1.3k 777 734 478 197 4.5k
Xuewei Li China 33 2.9k 1.1× 1.9k 1.4× 715 0.9× 846 1.2× 412 0.9× 176 4.9k
Gongshe Yang China 39 3.0k 1.2× 1.6k 1.2× 1.4k 1.8× 540 0.7× 318 0.7× 246 5.3k
Feng Wang China 35 2.4k 0.9× 796 0.6× 398 0.5× 853 1.2× 215 0.4× 322 4.9k
Hui Zhang China 38 2.7k 1.1× 578 0.4× 531 0.7× 1.3k 1.8× 460 1.0× 202 4.9k
Yongliang Zhang China 33 1.8k 0.7× 1.2k 0.9× 485 0.6× 281 0.4× 310 0.6× 154 3.4k
Siwen Jiang China 32 1.6k 0.6× 719 0.5× 499 0.6× 430 0.6× 585 1.2× 126 3.0k
Juan C. Marini United States 26 1.3k 0.5× 831 0.6× 431 0.6× 303 0.4× 152 0.3× 75 2.9k
Chen Huang China 39 3.1k 1.2× 1.8k 1.3× 179 0.2× 415 0.6× 408 0.9× 279 5.4k
Linyuan Shen China 28 1.6k 0.6× 790 0.6× 563 0.7× 309 0.4× 291 0.6× 143 2.7k
Qianyun Xi China 33 1.8k 0.7× 1.3k 0.9× 367 0.5× 282 0.4× 402 0.8× 150 3.3k

Countries citing papers authored by Li Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Li Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Zhu. A scholar is included among the top collaborators of Li Zhu 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 Li Zhu. Li Zhu 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.
Zhu, Li, Kaihong Chen, Sibo Zhang, et al.. (2025). The dual effects of nanomaterials on sperm and seminal fluid oxidative stress. Materials Today Bio. 34. 102163–102163. 2 indexed citations
2.
Gan, Mailin, Jiayan Li, Lili Niu, et al.. (2025). Perspectives on mitochondrial dysfunction in the regeneration of aging skeletal muscle. Cellular & Molecular Biology Letters. 30(1). 94–94. 1 indexed citations
3.
He, Chang, Yongqi Li, Li Zhu, et al.. (2025). Application of CRISPR-Cas System in Human Papillomavirus Detection Using Biosensor Devices and Point-of-Care Technologies. PubMed. 6. 114–114. 4 indexed citations
4.
Ma, Tianli, Xuesong Chen, Fei Wang, et al.. (2025). Effects of Compound Lactic Acid Bacteria Additives on the Quality of Oat and Common Vetch Silage in the Northwest Sichuan Plateau. Fermentation. 11(2). 93–93. 2 indexed citations
5.
Han, Chunchun, Li Zhu, Jian Hu, et al.. (2025). Genetic parameters and genomic prediction of egg production traits in ducks. Poultry Science. 104(10). 105510–105510.
6.
Wu, Dan, Jian Xu, Zhonglin Tang, et al.. (2024). Identification of candidate genes associated with drought tolerance based on QTL and transcriptome sequencing in Brassica napus L.. ACTA AGRONOMICA SINICA. 50(4). 820–835. 1 indexed citations
7.
Gan, Mailin, Yi Luo, Bin Liu, et al.. (2023). A Comparative Study on the Growth Performance and Gut Microbial Composition of Duroc and Yorkshire Boars. Genes. 14(9). 1726–1726. 5 indexed citations
8.
Gan, Mailin, Lei Chen, Shunhua Zhang, et al.. (2023). Potential Function of Testicular MicroRNAs in Heat-Stress-Induced Spermatogenesis Disorders. International Journal of Molecular Sciences. 24(10). 8809–8809. 25 indexed citations
9.
Liu, Lei, Zhiyuan Gao, Li Zhu, et al.. (2023). The core microbiota as a predictor of soil functional traits promotes soil nutrient cycling and wheat production in dryland farming. Functional Ecology. 37(9). 2325–2337. 10 indexed citations
10.
Hao, Xiaoxia, Dongmei Jiang, Li Zhu, et al.. (2023). Effect of Slightly Acidic Electrolyzed Water on Growth, Diarrhea and Intestinal Bacteria of Newly Weaned Piglets. Genes. 14(7). 1398–1398. 5 indexed citations
12.
Liu, Bin, Linyuan Shen, Zhixian Guo, et al.. (2020). Single nucleotide polymorphism-based analysis of the genetic structure of Liangshan pig population. Animal Bioscience. 34(7). 1105–1115. 16 indexed citations
13.
Tan, Ya, Linyuan Shen, Mailin Gan, et al.. (2020). Downregulated miR‐204 Promotes Skeletal Muscle Regeneration. BioMed Research International. 2020(1). 3183296–3183296. 13 indexed citations
14.
Luo, Jia, Linyuan Shen, Mailin Gan, et al.. (2020). Profiling of skeletal muscle tissue for long non-coding RNAs related to muscle metabolism in the QingYu pig at the growth inflection point. Animal Bioscience. 34(8). 1309–1320. 5 indexed citations
15.
Luo, Jia, Bin Liu, Linyuan Shen, et al.. (2019). Genetic parameter estimation for reproductive traits in QingYu pigs and comparison of carcass and meat quality traits to Berkshire×QingYu crossbred pigs. Asian-Australasian Journal of Animal Sciences. 33(8). 1224–1232. 10 indexed citations
16.
Wei, Yingying, Xue Wang, Daojun Lv, et al.. (2019). Dynamic Changes of DNA Methylation and Transcriptome Expression in Porcine Ovaries during Aging. BioMed Research International. 2019. 1–15. 11 indexed citations
17.
Chen, Jianning, Daojun Lv, Muhammad Ali Raza, et al.. (2019). Comprehensive transcriptional profiling of aging porcine liver. PeerJ. 7. e6949–e6949. 6 indexed citations
18.
Zhu, Li, Ding Yang, & Tingting Zhang. (2016). Review of the genus Rhaphiocerina Lindner (Diptera: Stratiomyinae), with description of a new species. Zootaxa. 4111(1). 53–60. 1 indexed citations
19.
Zhu, Li, Mingzhou Li, Xuewei Li, et al.. (2009). Distinct Expression Patterns of Genes Associated with Muscle Growth and Adipose Deposition in Tibetan Pigs: A Possible Adaptive Mechanism for High Altitude Conditions. High Altitude Medicine & Biology. 10(1). 45–55. 16 indexed citations
20.
Zhu, Li, et al.. (2007). Discovery of the oldest fossil Meropeidae (Insecta, Mecoptera) from Shaanxi, China. Acta Zootaxonomica Sinica. 32. 7 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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