Mengli Cao

2.0k total citations
43 papers, 302 citations indexed

About

Mengli Cao is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Mengli Cao has authored 43 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Genetics and 14 papers in Cancer Research. Recurrent topics in Mengli Cao's work include Cancer-related molecular mechanisms research (14 papers), Genetic and phenotypic traits in livestock (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Mengli Cao is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), Genetic and phenotypic traits in livestock (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Mengli Cao collaborates with scholars based in China, United States and Japan. Mengli Cao's co-authors include Shaoke Guo, Jie Pei, Xian Guo, Pengjia Bao, Lin Xiong, Ping Yan, Chunnian Liang, Xingdong Wang, Fuxiang Wang and Yingxia Liu and has published in prestigious journals such as The FASEB Journal, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Mengli Cao

37 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengli Cao China 11 114 79 63 57 44 43 302
Tong Xu China 10 139 1.2× 45 0.6× 38 0.6× 60 1.1× 14 0.3× 21 330
Xiaoxing Xu China 10 102 0.9× 62 0.8× 27 0.4× 47 0.8× 39 0.9× 20 304
Vengala Rao Yenuganti India 12 172 1.5× 44 0.6× 16 0.3× 92 1.6× 9 0.2× 17 308
Trine Møller Denmark 7 161 1.4× 31 0.4× 28 0.4× 66 1.2× 17 0.4× 11 321
Jiusheng Wu China 13 210 1.8× 126 1.6× 80 1.3× 59 1.0× 126 2.9× 19 491
Deirdre Stack Ireland 7 154 1.4× 16 0.2× 25 0.4× 22 0.4× 27 0.6× 9 292
Francesca Garofalo Italy 10 164 1.4× 12 0.2× 14 0.2× 36 0.6× 22 0.5× 21 312
Xiaoqin Xu China 12 191 1.7× 45 0.6× 56 0.9× 69 1.2× 18 0.4× 40 399
Huaming Xu China 11 277 2.4× 32 0.4× 41 0.7× 74 1.3× 9 0.2× 33 420
Sinéad Lyons United Kingdom 7 117 1.0× 23 0.3× 51 0.8× 24 0.4× 46 1.0× 7 371

Countries citing papers authored by Mengli Cao

Since Specialization
Citations

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

Fields of papers citing papers by Mengli Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengli Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Mengli Cao. A scholar is included among the top collaborators of Mengli Cao 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 Mengli Cao. Mengli Cao 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.
Guo, Shaoke, et al.. (2025). Proteomic analysis reveals changes in protein expression in yak oocytes at different meiosis stages. International Journal of Biological Macromolecules. 309(Pt 2). 142813–142813.
2.
Wu, Xiaoyun, Shaoke Guo, Mengli Cao, et al.. (2025). Whole-Genome Sequencing Unveils the Uniqueness of Yushu Yaks (Bos grunniens). International Journal of Molecular Sciences. 26(8). 3879–3879. 1 indexed citations
3.
Guo, Shaoke, Lin Xiong, Xiaoyun Wu, et al.. (2025). The Metabolic Network of Chilled Yak Meat During Storage Was Constructed Based on Metabolomics Technology. Foods. 14(18). 3173–3173.
4.
Guo, Shaoke, Mengli Cao, Liyan Hu, et al.. (2025). Genomic Characterization of Crossbred-Driven Adaptation in the Endangered Yangba Cattle of China. Animals. 15(7). 1065–1065.
5.
Hu, Liyan, Shaoke Guo, Mengli Cao, et al.. (2025). Ribo‐Seq Analysis‐Based Elucidation of the Dynamic Translation Landscape of Yak Ovarian Tissues in Different Reproductive Stages. The FASEB Journal. 39(15). e70924–e70924. 1 indexed citations
6.
7.
Wang, Xingdong, Shaoke Guo, Mengli Cao, et al.. (2025). Characteristic analysis of N6-methyladenine in different parts of yak epididymis. BMC Genomics. 26(1). 500–500.
8.
Hu, Liyan, Shaoke Guo, Mengli Cao, et al.. (2024). Whole-transcriptome sequencing analysis to identify key circRNAs, miRNAs, and mRNAs in the development of yak testes. BMC Genomics. 25(1). 824–824. 1 indexed citations
9.
Guo, Shaoke, Mengli Cao, Liyan Hu, et al.. (2024). Effects of High-Concentrate Diets on Growth Performance, Serum Biochemical Indexes, and Rumen Microbiota in House-Fed Yaks. Animals. 14(24). 3594–3594. 3 indexed citations
10.
Pei, Jie, Lin Xiong, Shaoke Guo, et al.. (2024). Dynamic changes in cellular atlases and communication patterns within yak ovaries across diverse reproductive states unveiled by single-cell analysis. Frontiers in Cell and Developmental Biology. 12. 1444706–1444706. 3 indexed citations
11.
12.
Xiong, Lin, Jie Pei, Pengjia Bao, et al.. (2023). The Effect of the Feeding System on Fat Deposition in Yak Subcutaneous Fat. International Journal of Molecular Sciences. 24(8). 7381–7381. 10 indexed citations
13.
Xiong, Lin, Shaoke Guo, Mengli Cao, et al.. (2023). Comparative Analysis of Epididymis Cauda of Yak before and after Sexual Maturity. Animals. 13(8). 1355–1355. 5 indexed citations
14.
Wang, Fengxin, Weibo Wu, Chuming Chen, et al.. (2023). Analysis of multiple organ function damage in patients with severe COVID-19 pneumonia. Journal of Medical Biochemistry. 42(3). 444–453.
15.
Wang, Fuxiang, Wen Xiao, Yimin Tang, et al.. (2023). Efficacy and safety of SIM0417 (SSD8432) plus ritonavir for COVID-19 treatment: a randomised, double-blind, placebo-controlled, phase 1b trial. The Lancet Regional Health - Western Pacific. 38. 100835–100835. 25 indexed citations
16.
Guo, Shaoke, Xingdong Wang, Mengli Cao, et al.. (2022). The transcriptome-wide N6-methyladenosine (m6A) map profiling reveals the regulatory role of m6A in the yak ovary. BMC Genomics. 23(1). 358–358. 13 indexed citations
17.
Wang, Xingdong, Jie Pei, Shaoke Guo, et al.. (2022). Characterization of N6-methyladenosine in cattle-yak testis tissue. Frontiers in Veterinary Science. 9. 971515–971515. 7 indexed citations
18.
Wang, Xingdong, Jie Pei, Shaoke Guo, et al.. (2021). Characterization of N6-Methyladenosine in Domesticated Yak Testes Before and After Sexual Maturity. Frontiers in Cell and Developmental Biology. 9. 755670–755670. 10 indexed citations
19.
Zhang, Peiyan, Zhao Cai, Weibo Wu, et al.. (2020). The novel coronavirus (COVID-19) pneumonia with negative detection of viral ribonucleic acid from nasopharyngeal swabs: a case report. BMC Infectious Diseases. 20(1). 12 indexed citations
20.
Chen, Chuming, Haihui Wang, Zhichao Liang, et al.. (2020). Predicting Illness Severity and Short-Term Outcomes of COVID-19: A Retrospective Cohort Study in China. The Innovation. 1(1). 100007–100007. 22 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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