Mudan Lu

1.1k total citations
36 papers, 856 citations indexed

About

Mudan Lu is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mudan Lu has authored 36 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mudan Lu's work include FOXO transcription factor regulation (9 papers), Cancer-related Molecular Pathways (8 papers) and Ubiquitin and proteasome pathways (4 papers). Mudan Lu is often cited by papers focused on FOXO transcription factor regulation (9 papers), Cancer-related Molecular Pathways (8 papers) and Ubiquitin and proteasome pathways (4 papers). Mudan Lu collaborates with scholars based in China, Fiji and Egypt. Mudan Lu's co-authors include Daozhen Chen, Aiguo Shen, Chun Cheng, Yueming Zhao, Qingfeng Pang, Bin-bin Wan, Yaxian Wu, Song He, Junliang Chen and Dan Chen and has published in prestigious journals such as Journal of Biological Chemistry, The Analyst and Journal of Neurotrauma.

In The Last Decade

Mudan Lu

35 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mudan Lu China	17	564	199	136	118	108	36	856
Kui Sheng Chen China	2	606 1.1×	241 1.2×	216 1.6×	144 1.2×	97 0.9×	5	1.0k
Shun Tang China	10	520 0.9×	171 0.9×	191 1.4×	127 1.1×	71 0.7×	13	884
Neda Shajari Iran	10	616 1.1×	255 1.3×	148 1.1×	90 0.8×	85 0.8×	14	833
Xinzheng Dai China	18	407 0.7×	196 1.0×	196 1.4×	144 1.2×	126 1.2×	29	877
Seong Hye Park South Korea	19	497 0.9×	189 0.9×	181 1.3×	109 0.9×	85 0.8×	34	879
Palak R. Parekh United States	13	476 0.8×	153 0.8×	134 1.0×	84 0.7×	73 0.7×	20	742
Youhong Jiang China	20	584 1.0×	272 1.4×	205 1.5×	60 0.5×	109 1.0×	60	992
Zhitu Zhu China	17	595 1.1×	177 0.9×	195 1.4×	109 0.9×	84 0.8×	46	943
Yoo Jin Na South Korea	20	476 0.8×	177 0.9×	207 1.5×	91 0.8×	84 0.8×	37	900
Ki Beom Bae South Korea	20	526 0.9×	142 0.7×	309 2.3×	129 1.1×	112 1.0×	69	1.2k

Countries citing papers authored by Mudan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Mudan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mudan Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Huang, Man, et al.. (2025). Study on the correlation between rock's mineral compositions and macro-micro friction properties. 44(4). 827–837.

Liu, Min, Feng Xu, Jiale Chen, et al.. (2022). Metabolomics variation profiling of vaginal discharge identifies potential targets for cervical cancer early warning. Acta Biochimica et Biophysica Sinica. 54(10). 1561–1565. 7 indexed citations

Yang, Rui, Mudan Lu, Yu Chen, et al.. (2020). <p><sup>89</sup>Zr-Labeled Multifunctional Liposomes Conjugate Chitosan for PET-Trackable Triple-Negative Breast Cancer Stem Cell Targeted Therapy</p>. International Journal of Nanomedicine. Volume 15. 9061–9074. 21 indexed citations

Wan, Bin-bin, Gang Liu, Yaxian Wu, et al.. (2020). Nrf2 protects against seawater drowning-induced acute lung injury via inhibiting ferroptosis. Respiratory Research. 21(1). 232–232. 122 indexed citations

Chen, Dan, Yaxian Wu, Bin-bin Wan, et al.. (2019). Hyperoside suppresses hypoxia-induced A549 survival and proliferation through ferrous accumulation via AMPK/HO-1 axis. Phytomedicine. 67. 153138–153138. 44 indexed citations

Lu, Mudan, Xuan Chen, Jianping Xiao, et al.. (2018). FOXO3a Reverses the Cisplatin Resistance in Ovarian Cancer. Archives of Medical Research. 49(2). 84–88. 15 indexed citations

Lu, Mudan, Wei Xu, Bo Gao, & Sidong Xiong. (2016). Blunting Autoantigen-induced FOXO3a Protein Phosphorylation and Degradation Is a Novel Pathway of Glucocorticoids for the Treatment of Systemic Lupus Erythematosus. Journal of Biological Chemistry. 291(38). 19900–19912. 16 indexed citations

Tang, Qiusha, Mudan Lu, Huan Zhou, Daozhen Chen, & Lu Liu. (2016). Gambogic acid inhibits the growth of ovarian cancer tumors by regulating p65 activity. Oncology Letters. 13(1). 384–388. 21 indexed citations

Lu, Mudan, et al.. (2015). The prognostic of p27kip1 in ovarian cancer: a meta-analysis. Archives of Gynecology and Obstetrics. 293(1). 169–176. 7 indexed citations

10.

Wang, You, Yanan Yu, Jingying Xiang, et al.. (2014). JAB1 and phospho-Ser10 p27 expression profile determine human hepatocellular carcinoma prognosis. Journal of Cancer Research and Clinical Oncology. 140(6). 969–978. 14 indexed citations

11.

Lu, Mudan, Yueming Zhao, Fei Xu, et al.. (2012). The expression and prognosis of FOXO3a and Skp2 in human ovarian cancer. Medical Oncology. 29(5). 3409–3415. 33 indexed citations

12.

Lu, Mudan, et al.. (2011). The expression of human epididymis protein 4 and cyclindependent kinase inhibitor p27Kip1 in human ovarian carcinoma. Asian Biomedicine. 5(6). 765–774. 1 indexed citations

13.

Lu, Mudan, Jingying Xiang, Fei Xu, et al.. (2011). The expression and significance of pThr32-FOXO3a in human ovarian cancer. Medical Oncology. 29(2). 1258–1264. 12 indexed citations

14.

Lu, Mudan, Jianbo Ma, Chun Cheng, et al.. (2009). The Expression and Prognosis of FOXO3a and Skp2 in Human Hepatocellular Carcinoma. Pathology & Oncology Research. 15(4). 679–687. 57 indexed citations

15.

Fei, Min, Yueming Zhao, Yuchan Wang, et al.. (2009). Low expression of Foxo3a is Associated with Poor Prognosis in Ovarian Cancer Patients. Cancer Investigation. 27(1). 52–59. 68 indexed citations

16.

Huang, Ye, Yonghua Liu, Ying Chen, et al.. (2008). Peripheral Nerve Lesion Induces an Up-regulation of Spy1 in Rat Spinal Cord. Cellular and Molecular Neurobiology. 29(3). 403–411. 9 indexed citations

17.

Lu, Mudan, Min Fei, You Wang, et al.. (2008). Mutant p27Kip1 and its Potential Effect as Hepatocellular Gene Therapy. Archives of Medical Research. 39(6). 573–581. 6 indexed citations

18.

Wang, Youhua, Yonghua Liu, Ying Chen, et al.. (2008). Peripheral Nerve Injury Induces Down-Regulation of Foxo3a and p27kip1 in Rat Dorsal Root Ganglia. Neurochemical Research. 34(5). 891–898. 22 indexed citations

19.

Zhao, Yueming, Min Fei, Yuchan Wang, et al.. (2008). Expression of Foxo3a in non‐Hodgkin’s lymphomas is correlated with cell cycle inhibitor p27^kip1. European Journal Of Haematology. 81(2). 83–93. 14 indexed citations

20.

Gao, Shangfeng, Chun Cheng, Jian Zhao, et al.. (2007). Developmental regulation of PSD-95 and nNOS expression in lumbar spinal cord of rats. Neurochemistry International. 52(3). 495–501. 12 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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