Mingning Qiu

702 total citations
27 papers, 603 citations indexed

About

Mingning Qiu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Mingning Qiu has authored 27 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Mingning Qiu's work include Genomics, phytochemicals, and oxidative stress (5 papers), MicroRNA in disease regulation (5 papers) and Pluripotent Stem Cells Research (4 papers). Mingning Qiu is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (5 papers), MicroRNA in disease regulation (5 papers) and Pluripotent Stem Cells Research (4 papers). Mingning Qiu collaborates with scholars based in China, Brazil and Tunisia. Mingning Qiu's co-authors include Jianjun Liu, Guobin Tan, Hege Chen, Jie Liu, Fusheng Quan, Lei Liu, Yue Qin, Sai Zhang, Yong Zhang and Kangning Wang and has published in prestigious journals such as Oncogene, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Mingning Qiu

25 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingning Qiu China 16 380 177 87 62 52 27 603
Adrian Nañez United States 10 602 1.6× 146 0.8× 47 0.5× 94 1.5× 110 2.1× 16 942
Ulises Orlando Argentina 14 332 0.9× 225 1.3× 28 0.3× 52 0.8× 17 0.3× 16 531
Faisel M. Abuduhier Saudi Arabia 14 423 1.1× 140 0.8× 110 1.3× 57 0.9× 14 0.3× 36 955
Huihui Huang China 17 337 0.9× 100 0.6× 41 0.5× 145 2.3× 18 0.3× 30 849
Sung‐Eun Hong South Korea 14 301 0.8× 86 0.5× 39 0.4× 61 1.0× 44 0.8× 27 467
Di Gong China 11 199 0.5× 111 0.6× 23 0.3× 59 1.0× 33 0.6× 15 363
Jiuan-Jiuan Hwang Taiwan 12 304 0.8× 84 0.5× 104 1.2× 94 1.5× 61 1.2× 15 596
Yan Meng China 13 241 0.6× 65 0.4× 22 0.3× 69 1.1× 17 0.3× 22 472
Junling Yang China 14 205 0.5× 68 0.4× 27 0.3× 87 1.4× 45 0.9× 24 465
Jinshan Xing China 17 307 0.8× 124 0.7× 19 0.2× 56 0.9× 21 0.4× 29 545

Countries citing papers authored by Mingning Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Mingning Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingning Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingning Qiu. A scholar is included among the top collaborators of Mingning Qiu 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 Mingning Qiu. Mingning Qiu 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.
Qiu, Mingning, et al.. (2025). Association of dietary isoflavones intake with all-cause mortality and heart disease mortality: a prospective cohort study. BMC Public Health. 25(1). 1026–1026. 3 indexed citations
2.
Qiu, Mingning, et al.. (2020). Diosmetin Induces Apoptosis by Downregulating AKT Phosphorylation via P53 Activation in Human Renal Carcinoma ACHN Cells. Protein and Peptide Letters. 27(10). 1022–1028. 19 indexed citations
3.
Liu, Jie, Yuwan Zhao, Juan Xia, & Mingning Qiu. (2020). Matrine induces toxicity in mouse liver cells through an ROS-dependent mechanism. Research in Veterinary Science. 132. 308–311. 20 indexed citations
4.
Qiu, Mingning, Jie Liu, Ping Feng, et al.. (2020). Cytochrome P450s regulates aloperine-induced pathological changes in mouse liver and kidney. Research in Veterinary Science. 132. 97–100. 10 indexed citations
5.
Qiu, Mingning, et al.. (2017). A reactive oxygen species activation mechanism contributes to Sophoridine-induced apoptosis in rat liver BRL-3A cells. Journal of Ethnopharmacology. 213. 376–383. 22 indexed citations
6.
7.
8.
Li, Jianchang, et al.. (2016). Resveratrol promotes regression of renal carcinoma cells via a renin-angiotensin system suppression-dependent mechanism. Oncology Letters. 13(2). 613–620. 10 indexed citations
9.
Qiu, Mingning, et al.. (2016). JS-K promotes apoptosis by inducing ROS production in human prostate cancer cells. Oncology Letters. 13(3). 1137–1142. 22 indexed citations
10.
Kim, J., et al.. (2015). Pluripotency factor Nanog is tumorigenic by deregulating DNA damage response in somatic cells. Oncogene. 35(10). 1334–1340. 15 indexed citations
11.
Qiu, Mingning, et al.. (2015). A reactive oxygen species activation mechanism contributes to JS-K-induced apoptosis in human bladder cancer cells. Scientific Reports. 5(1). 15104–15104. 61 indexed citations
12.
Qiu, Mingning, Guobin Tan, Kangning Wang, et al.. (2015). MicroRNA-429 suppresses cell proliferation, epithelial-mesenchymal transition, and metastasis by direct targeting of BMI1 and E2F3 in renal cell carcinoma. Urologic Oncology Seminars and Original Investigations. 33(7). 332.e9–332.e18. 35 indexed citations
13.
Liu, Lei, Mingning Qiu, Guobin Tan, et al.. (2014). miR-200c Inhibits invasion, migration and proliferation of bladder cancer cells through down-regulation of BMI-1 and E2F3. Journal of Translational Medicine. 12(1). 305–305. 102 indexed citations
14.
Qiu, Mingning, Lei Liu, Guobin Tan, et al.. (2014). microRNA-183 plays as oncogenes by increasing cell proliferation, migration and invasion via targeting protein phosphatase 2A in renal cancer cells. Biochemical and Biophysical Research Communications. 452(1). 163–169. 30 indexed citations
15.
Liu, Jie, Yang Shu, Qingyu Zhang, et al.. (2014). Dihydromyricetin induces apoptosis and inhibits proliferation in hepatocellular carcinoma cells. Oncology Letters. 8(4). 1645–1651. 38 indexed citations
16.
Liu, Junping, Hongliang Liu, Mingning Qiu, et al.. (2013). Isolation and Characterization of SSEA3 + Stem Cells Derived from Goat Skin Fibroblasts. Cellular Reprogramming. 15(3). 195–205. 21 indexed citations
17.
Liu, Junping, et al.. (2013). Developmental Potential of Cloned Goat Embryos from an SSEA3 + Subpopulation of Skin Fibroblasts. Cellular Reprogramming. 15(2). 159–165. 6 indexed citations
18.
Qiu, Mingning, Fusheng Quan, Bin Wu, et al.. (2013). Effects of granulosa cells on steroidogenesis, proliferation and apoptosis of stromal cells and theca cells derived from the goat ovary. The Journal of Steroid Biochemistry and Molecular Biology. 138. 325–333. 39 indexed citations
19.
Zhang, Hengde, Bin Wu, Hongliang Liu, et al.. (2013). Improving development of cloned goat embryos by supplementing α-lipoic acid to oocyte in vitro maturation medium. Theriogenology. 80(3). 228–233. 31 indexed citations
20.
Qiu, Mingning, Chunchun Han, Bo Wu, et al.. (2013). The Influence of Ovarian Stromal/Theca Cells During In Vitro Culture on Steroidogenesis, Proliferation and Apoptosis of Granulosa Cells Derived from the Goat Ovary. Reproduction in Domestic Animals. 49(1). 170–176. 31 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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