Maolun Liu

1.9k total citations · 2 hit papers
16 papers, 1.3k citations indexed

About

Maolun Liu is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Maolun Liu has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Pharmacology and 3 papers in Plant Science. Recurrent topics in Maolun Liu's work include Hedgehog Signaling Pathway Studies (4 papers), Flavonoids in Medical Research (3 papers) and Berberine and alkaloids research (2 papers). Maolun Liu is often cited by papers focused on Hedgehog Signaling Pathway Studies (4 papers), Flavonoids in Medical Research (3 papers) and Berberine and alkaloids research (2 papers). Maolun Liu collaborates with scholars based in China. Maolun Liu's co-authors include Haibo Xu, Shan Ren, Hui Zhao, Tianqi Ming, Tao Qiu, Han Yang, Shun Tang, Qiang Sun, Sha Zeng and Han Yang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Pharmacology & Therapeutics and Molecular Cancer.

In The Last Decade

Maolun Liu

16 papers receiving 1.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wnt signaling in colorectal cancer: pathogenic role and therapeutic target

2022 510 citations Hui Zhao, Tianqi Ming et al. Molecular Cancer profile →
Peppermint essential oil: its phytochemistry, biological activity, pharmacological effect and application

2022 136 citations Hui Zhao, Shan Ren et al. Biomedicine & Pharmacotherapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maolun Liu China	13	710	250	223	141	131	16	1.3k
Shan Ren China	20	810 1.1×	301 1.2×	232 1.0×	177 1.3×	132 1.0×	51	1.6k
Tianqi Ming China	11	595 0.8×	201 0.8×	186 0.8×	105 0.7×	118 0.9×	16	1.1k
Claire M. Pfeffer United States	5	755 1.1×	176 0.7×	190 0.9×	110 0.8×	80 0.6×	5	1.3k
Meran Keshawa Ediriweera Sri Lanka	20	832 1.2×	345 1.4×	247 1.1×	95 0.7×	104 0.8×	57	1.6k
Subapriya Rajamanickam United States	17	805 1.1×	312 1.2×	165 0.7×	104 0.7×	202 1.5×	24	1.3k
Jarosław Paluszczak Poland	21	979 1.4×	240 1.0×	152 0.7×	85 0.6×	86 0.7×	52	1.5k
Haibo Xu China	22	954 1.3×	308 1.2×	276 1.2×	165 1.2×	163 1.2×	43	1.8k
Manzar Alam India	22	597 0.8×	179 0.7×	225 1.0×	126 0.9×	130 1.0×	38	1.4k
Huanjie Shao China	17	862 1.2×	285 1.1×	180 0.8×	165 1.2×	94 0.7×	37	1.4k

Countries citing papers authored by Maolun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Maolun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maolun Liu

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

All Works

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16 of 16 papers shown

Zhao, Hui, Shun Tang, Tao Qiu, et al.. (2023). Ursolic Acid Suppresses Colorectal Cancer by Down-Regulation of Wnt/β-Catenin Signaling Pathway Activity. Journal of Agricultural and Food Chemistry. 71(9). 3981–3993. 64 indexed citations

Sun, Qiang, Tao Qiu, Tianqi Ming, et al.. (2023). Berberine is a suppressor of Hedgehog signaling cascade in colorectal cancer. Phytomedicine. 114. 154792–154792. 55 indexed citations

Liu, Maolun, Shan Ren, Hui Zhao, et al.. (2022). IDDF2022-ABS-0085 Inhibition of colorectal cancer by scutellarin via modulation of hippo signaling pathway activity. A45.2–A45. 1 indexed citations

Zeng, Sha, Li Tan, Qiang Sun, et al.. (2022). Suppression of colitis-associated colorectal cancer by scutellarin through inhibiting Hedgehog signaling pathway activity. Phytomedicine. 98. 153972–153972. 27 indexed citations

Ming, Tianqi, Tao Qiu, Shun Tang, et al.. (2022). Curcumin: An epigenetic regulator and its application in cancer. Biomedicine & Pharmacotherapy. 156. 113956–113956. 82 indexed citations

Zhao, Hui, Tianqi Ming, Shun Tang, et al.. (2022). Wnt signaling in colorectal cancer: pathogenic role and therapeutic target. Molecular Cancer. 21(1). 144–144. 510 indexed citations breakdown →

Sun, Qiang, Han Yang, Maolun Liu, et al.. (2022). Berberine suppresses colorectal cancer by regulation of Hedgehog signaling pathway activity and gut microbiota. Phytomedicine. 103. 154227–154227. 51 indexed citations

Zhao, Hui, Shan Ren, Han Yang, et al.. (2022). Peppermint essential oil: its phytochemistry, biological activity, pharmacological effect and application. Biomedicine & Pharmacotherapy. 154. 113559–113559. 136 indexed citations breakdown →

Chen, Li, Maolun Liu, Han Yang, et al.. (2022). Ursolic acid inhibits the activation of smoothened‐independent non‐canonical hedgehog pathway in colorectal cancer by suppressing AKT signaling cascade. Phytotherapy Research. 36(9). 3555–3570. 11 indexed citations

10.

Chen, Li, Man He, Meng Zhang, et al.. (2021). The Role of non-coding RNAs in colorectal cancer, with a focus on its autophagy. Pharmacology & Therapeutics. 226. 107868–107868. 80 indexed citations

11.

Sun, Qiang, Maolun Liu, Shan Ren, et al.. (2021). Shikonin, a naphthalene ingredient: Therapeutic actions, pharmacokinetics, toxicology, clinical trials and pharmaceutical researches. Phytomedicine. 94. 153805–153805. 108 indexed citations

12.

Zeng, Sha, Li Chen, Qiang Sun, et al.. (2021). Scutellarin ameliorates colitis-associated colorectal cancer by suppressing Wnt/β-catenin signaling cascade. European Journal of Pharmacology. 906. 174253–174253. 47 indexed citations

13.

Sun, Qiang, Man He, Meng Zhang, et al.. (2021). Traditional Chinese Medicine and Colorectal Cancer: Implications for Drug Discovery. Frontiers in Pharmacology. 12. 685002–685002. 58 indexed citations

14.

Zhao, Hui, Man He, Meng Zhang, et al.. (2021). Colorectal Cancer, Gut Microbiota and Traditional Chinese Medicine: A Systematic Review. The American Journal of Chinese Medicine. 49(4). 805–828. 47 indexed citations

15.

Zhao, Hui, Sha Zeng, Li Chen, et al.. (2021). Updated pharmacological effects of Lonicerae japonicae flos, with a focus on its potential efficacy on coronavirus disease–2019 (COVID-19). Current Opinion in Pharmacology. 60. 200–207. 23 indexed citations

16.

He, Man, Meng Zhang, Qiang Sun, et al.. (2021). [Mechanism of ursolic acid in regulating colorectal cancer cell HCT116 autophagy through hedgehog signaling pathway].. PubMed. 46(5). 1217–1223. 4 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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