Qiaoling Ren

402 total citations
13 papers, 300 citations indexed

About

Qiaoling Ren is a scholar working on Molecular Biology, Cancer Research and Nutrition and Dietetics. According to data from OpenAlex, Qiaoling Ren has authored 13 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 2 papers in Nutrition and Dietetics. Recurrent topics in Qiaoling Ren's work include MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Qiaoling Ren is often cited by papers focused on MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers) and Cancer-related molecular mechanisms research (5 papers). Qiaoling Ren collaborates with scholars based in China and India. Qiaoling Ren's co-authors include Jiaqing Zhang, Baosong Xing, Jing Wang, Zijing Zhang, Junfeng Chen, Qiang Ma, Zhihai Shi, Liushuai Hua, Jing Wang and Junfeng Chen and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Qiaoling Ren

13 papers receiving 298 citations

Peers

Qiaoling Ren
Qiaoling Ren
Citations per year, relative to Qiaoling Ren Qiaoling Ren (= 1×) peers Baosong Xing

Countries citing papers authored by Qiaoling Ren

Since Specialization
Citations

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

Fields of papers citing papers by Qiaoling Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiaoling Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Qiaoling Ren. A scholar is included among the top collaborators of Qiaoling Ren 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 Qiaoling Ren. Qiaoling Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Zhang, Jiaqing, Qiaoling Ren, Junfeng Chen, et al.. (2022). Downregulation of miR-192 Alleviates Oxidative Stress-Induced Porcine Granulosa Cell Injury by Directly Targeting Acvr2a. Cells. 11(15). 2362–2362. 11 indexed citations
3.
Wang, Jing, Junfeng Chen, Qiang Ma, et al.. (2022). Identification and characterization of circRNAs related to meat quality during embryonic development of the longissimus dorsi muscle in two pig breeds. Frontiers in Genetics. 13. 1019687–1019687. 7 indexed citations
4.
Wang, Jing, Baosong Xing, Junfeng Chen, et al.. (2021). Castration induced circRNA expressional changes in subcutaneous adipose tissue of male pigs. Animal Science Journal. 92(1). e13648–e13648. 6 indexed citations
5.
Xing, Baosong, Jing Wang, Junfeng Chen, et al.. (2021). Analysis of differentially expressed circRNAs in longissimus muscle between castrated and intact male pigs.. PubMed. 43(11). 1066–1077. 1 indexed citations
6.
Wang, Jing, Mingyue Chen, Qiaoling Ren, et al.. (2020). LncRNA IMFlnc1 promotes porcine intramuscular adipocyte adipogenesis by sponging miR-199a-5p to up-regulate CAV-1. BMC Molecular and Cell Biology. 21(1). 77–77. 28 indexed citations
7.
Zhang, Jiaqing, Qiaoling Ren, Junfeng Chen, et al.. (2020). Autophagy Contributes to Oxidative Stress-Induced Apoptosis in Porcine Granulosa Cells. Reproductive Sciences. 28(8). 2147–2160. 28 indexed citations
8.
Zhang, Jiaqing, Qiaoling Ren, Xianwei Wang, et al.. (2019). miR-181a promotes porcine granulosa cell apoptosis by targeting TGFBR1 via the activin signaling pathway. Molecular and Cellular Endocrinology. 499. 110603–110603. 19 indexed citations
9.
Wang, Jing, Qiaoling Ren, Liushuai Hua, et al.. (2019). Comprehensive Analysis of Differentially Expressed mRNA, lncRNA and circRNA and Their ceRNA Networks in the Longissimus Dorsi Muscle of Two Different Pig Breeds. International Journal of Molecular Sciences. 20(5). 1107–1107. 82 indexed citations
10.
Zhang, Jiaqing, Xianwei Wang, Junfeng Chen, et al.. (2019). Grape Seed Procyanidin B2 Protects Porcine Ovarian Granulosa Cells against Oxidative Stress-Induced Apoptosis by Upregulating let-7a Expression. Oxidative Medicine and Cellular Longevity. 2019. 1–17. 23 indexed citations
11.
Xing, Baosong, Liushuai Hua, Jiaqing Zhang, et al.. (2017). Long non‐coding RNA analysis of muscular responses to testosterone deficiency in Huainan male pigs. Animal Science Journal. 88(9). 1451–1456. 9 indexed citations
12.
Zhang, Jiaqing, Jing Wang, Xianwei Wang, et al.. (2016). Chronic Exposure to Diquat Causes Reproductive Toxicity in Female Mice. PLoS ONE. 11(1). e0147075–e0147075. 19 indexed citations
13.
Zhang, Jiaqing, Jing Wang, Qiaoling Ren, et al.. (2016). Critical Role of FoxO1 in Granulosa Cell Apoptosis Caused by Oxidative Stress and Protective Effects of Grape Seed Procyanidin B2. Oxidative Medicine and Cellular Longevity. 2016(1). 66 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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