Hailing Cheng

454 total citations
7 papers, 346 citations indexed

About

Hailing Cheng is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hailing Cheng has authored 7 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Hailing Cheng's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (5 papers). Hailing Cheng is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (5 papers). Hailing Cheng collaborates with scholars based in China and United States. Hailing Cheng's co-authors include Daping Zhang, Ruili He, Lei Zhang, Jun Tian, Lei Zhang, Ning Wang, Ning Wang, Chen Wang, Yan Zhou and Rebecca S. Cook and has published in prestigious journals such as Journal of Biomedical Science, Cell Transplantation and Experimental and Molecular Pathology.

In The Last Decade

Hailing Cheng

6 papers receiving 342 citations

Peers

Hailing Cheng
Bao Jing China
Hailing Cheng
Citations per year, relative to Hailing Cheng Hailing Cheng (= 1×) peers Bao Jing

Countries citing papers authored by Hailing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailing Cheng

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

All Works

7 of 7 papers shown
1.
Wang, Ning, et al.. (2020). Circular RNA MTO1 Inhibits the Proliferation and Invasion of Ovarian Cancer Cells Through the miR-182-5p/KLF15 Axis. Cell Transplantation. 29. 2790874009–2790874009. 21 indexed citations
2.
3.
Cheng, Hailing, et al.. (2020). LncRNA BLACAT1 Is Upregulated in Cervical Squamous Cell Carcinoma (CSCC) and Predicts Poor Survival. Reproductive Sciences. 27(2). 585–591. 18 indexed citations
4.
Zhou, Yan, et al.. (2020). Roles of a TMPO-AS1/microRNA-200c/TMEFF2 ceRNA network in the malignant behaviors and 5-FU resistance of ovarian cancer cells. Experimental and Molecular Pathology. 115. 104481–104481. 17 indexed citations
6.
7.
Zhang, Lei, et al.. (2017). TUG1 knockdown ameliorates atherosclerosis via up-regulating the expression of miR-133a target gene FGF1. Cardiovascular Pathology. 33. 6–15. 96 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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