Ning Mao

1.9k total citations
39 papers, 1.3k citations indexed

About

Ning Mao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ning Mao has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Ning Mao's work include TGF-β signaling in diseases (4 papers), Virus-based gene therapy research (3 papers) and S100 Proteins and Annexins (3 papers). Ning Mao is often cited by papers focused on TGF-β signaling in diseases (4 papers), Virus-based gene therapy research (3 papers) and S100 Proteins and Annexins (3 papers). Ning Mao collaborates with scholars based in China, United States and Austria. Ning Mao's co-authors include James J. Collins, Lingya Pan, Xuedong Yan, Jie Yin, D. Ewen Cameron, Andrés Cubillos-Ruiz, Prerna Bhargava, Jason H. Yang, Douglas McCloskey and Bernhard Ø. Palsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Molecular and Cellular Biology.

In The Last Decade

Ning Mao

36 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ning Mao China	18	919	350	123	97	91	39	1.3k
Zhiyong Xiong China	20	881 1.0×	420 1.2×	108 0.9×	88 0.9×	50 0.5×	50	1.3k
Qian Xu China	24	863 0.9×	153 0.4×	138 1.1×	148 1.5×	79 0.9×	65	1.5k
Yan Ma China	22	813 0.9×	196 0.6×	160 1.3×	137 1.4×	133 1.5×	79	1.4k
Hans Christian Beck Denmark	25	1.1k 1.2×	213 0.6×	188 1.5×	178 1.8×	157 1.7×	115	1.9k
Kai Wu China	23	1.1k 1.2×	278 0.8×	207 1.7×	176 1.8×	75 0.8×	102	1.7k
Xuan Xu China	21	773 0.8×	290 0.8×	160 1.3×	94 1.0×	99 1.1×	63	1.4k
Hae Kyung Lee South Korea	22	1.1k 1.1×	587 1.7×	149 1.2×	129 1.3×	71 0.8×	66	1.8k
Yi Kong China	20	712 0.8×	263 0.8×	101 0.8×	102 1.1×	217 2.4×	96	1.4k
Francesco M. Mancuso Spain	19	789 0.9×	122 0.3×	142 1.2×	126 1.3×	142 1.6×	42	1.6k
Xiaojuan Zhang China	25	1.1k 1.2×	205 0.6×	148 1.2×	263 2.7×	159 1.7×	117	1.9k

Countries citing papers authored by Ning Mao

Since Specialization

Citations

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

Fields of papers citing papers by Ning Mao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Mao. A scholar is included among the top collaborators of Ning Mao 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 Ning Mao. Ning Mao 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

1.

Mao, Ning, Cui He, Jia Kuang, Chunguang Wang, & Zhao Yang. (2025). Comprehensive proteomic and pathological profiling identifies PRAS40 as a novel biomarker and mediator of primary immune checkpoint blockade resistance in non-small cell lung cancer. Cancer Immunology Immunotherapy. 74(11). 335–335.

2.

Mao, Ning, et al.. (2023). Optimal Design and Experiment of Corn-Overlapped Strip Fertilizer Spreader. Applied Sciences. 13(4). 2559–2559. 7 indexed citations

3.

Mao, Ning, et al.. (2023). Optimization Design and Experiment for Precise Control Double Arc Groove Screw Fertilizer Discharger. Agriculture. 13(10). 1866–1866. 2 indexed citations

4.

Sun, Qing, Nic M. Vega, Bernardo Cervantes, et al.. (2022). Enhancing nutritional niche and host defenses by modifying the gut microbiome. Molecular Systems Biology. 18(11). e9933–e9933. 11 indexed citations

5.

Liu, Yuxuan, et al.. (2021). Optimization design of fertilizer apparatus owned arc gears based on discrete element method. International journal of agricultural and biological engineering. 14(2). 97–105. 1 indexed citations

6.

Liu, Yuxuan, et al.. (2021). Optimization design of fertilizer apparatus owned arc gears based on discrete element method. International journal of agricultural and biological engineering. 14(2). 97–105. 6 indexed citations

7.

Ran, Xueqin, Ning Mao, Xi Niu, et al.. (2021). Differences in gene expression and variable splicing events of ovaries between large and small litter size in Chinese Xiang pigs. Porcine Health Management. 7(1). 52–52. 9 indexed citations

8.

Sun, Xiaofeng, et al.. (2021). Research on torque of based hydraulic rotary hole cleaning tool on Halbach permanent magnet array. Journal of Petroleum Science and Engineering. 201. 108520–108520. 2 indexed citations

9.

Liu, Yuxuan, et al.. (2020). Simulation test and optimization for structural parameters of circular arc gear discharging fertilizer apparatus. SHILAP Revista de lepidopterología. 46(5). 625–636. 1 indexed citations

10.

Mao, Ning, Andrés Cubillos-Ruiz, D. Ewen Cameron, & James J. Collins. (2018). Probiotic strains detect and suppress cholera in mice. Science Translational Medicine. 10(445). 181 indexed citations

11.

Zhan, Qiping, et al.. (2018). Changes in volatile compounds of fermented mixed drink using commercial yeast strain. PRZEMYSŁ CHEMICZNY. 97(8). 1398–1405. 17 indexed citations

12.

Ran, Xueqin, Ning Mao, Fuping Zhang, et al.. (2018). Analysis of alternative splicing events by RNA sequencing in the ovaries of Xiang pig at estrous and diestrous. Theriogenology. 119. 60–68. 25 indexed citations

13.

Ji, Wenxin, et al.. (2018). Hsa_circ_0001649: A circular RNA and potential novel biomarker for colorectal cancer. Biochemical and Biophysical Research Communications. 497(1). 122–126. 105 indexed citations

14.

Chen, Ming, Hong Huang, Haojie He, et al.. (2015). Quantitative proteomic analysis of mitochondria from human ovarian cancer cells and their paclitaxel‐resistant sublines. Cancer Science. 106(8). 1075–1083. 20 indexed citations

15.

Wang, Xueqing, et al.. (2013). Cell-cycle synchronization reverses Taxol resistance of human ovarian cancer cell lines. Cancer Cell International. 13(1). 77–77. 24 indexed citations

16.

Li, Min, Jie Yin, Ning Mao, & Lingya Pan. (2012). Upregulation of phosphorylated cofilin 1 correlates with taxol resistance in human ovarian cancer in vitro and in vivo. Oncology Reports. 29(1). 58–66. 34 indexed citations

17.

Yin, Jie, Xuedong Yan, Xin Yao, et al.. (2011). Secretion of annexin A3 from ovarian cancer cells and its association with platinum resistance in ovarian cancer patients. Journal of Cellular and Molecular Medicine. 16(2). 337–348. 106 indexed citations

18.

Liu, Bing, Chunmei Hou, Ying Wu, Shuangxi Zhang, & Ning Mao. (2003). [The investigation of hematopoietic capacity of HPP-CFC derived from murine embryonic stem cells in vitro and in vivo].. PubMed. 19(3). 312–6. 1 indexed citations

19.

Liu, Bing & Ning Mao. (2003). Smad5: signaling roles in hematopoiesis and osteogenesis. The International Journal of Biochemistry & Cell Biology. 36(5). 766–770. 19 indexed citations

20.

Mao, Ning. (2002). Study on Biological Effect of Magnetic Resonance and Magnetized Water on Agricus bisporus Strain 176. 1 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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