Xiaomin Ning

991 total citations
11 papers, 395 citations indexed

About

Xiaomin Ning is a scholar working on Molecular Biology, Cancer Research and Nutrition and Dietetics. According to data from OpenAlex, Xiaomin Ning has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Nutrition and Dietetics. Recurrent topics in Xiaomin Ning's work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xiaomin Ning is often cited by papers focused on MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xiaomin Ning collaborates with scholars based in China, United States and Japan. Xiaomin Ning's co-authors include Gongshe Yang, Yanjie Li, Guoxi Li, Xinjian Li, Hiroyuki Mori, Brian S. Learman, William P. Cawthorn, Ormond A. MacDougald, Björn Tyrberg and Sebastian D. Parlee and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Xiaomin Ning

11 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaomin Ning China 8 196 150 140 71 62 11 395
Johan Medina Japan 11 133 0.7× 36 0.2× 136 1.0× 85 1.2× 78 1.3× 13 458
Nelsa L. Estrella United States 7 237 1.2× 85 0.6× 102 0.7× 81 1.1× 13 0.2× 7 377
Katia Meirelles United States 7 147 0.8× 49 0.3× 48 0.3× 13 0.2× 83 1.3× 7 418
Hidefumi Kashiwabara Japan 8 231 1.2× 50 0.3× 90 0.6× 15 0.2× 32 0.5× 12 426
Deborah A. Keeton United States 10 250 1.3× 17 0.1× 45 0.3× 62 0.9× 16 0.3× 11 424
Amity F. Eaton United States 11 207 1.1× 25 0.2× 16 0.1× 24 0.3× 19 0.3× 16 362
Anna Dembek Germany 6 144 0.7× 61 0.4× 19 0.1× 27 0.4× 4 0.1× 7 340
Thucydides L. Salunga Japan 10 105 0.5× 12 0.1× 79 0.6× 9 0.1× 23 0.4× 14 515
Tami Elsner United States 6 123 0.6× 18 0.1× 96 0.7× 81 1.1× 4 0.1× 6 305

Countries citing papers authored by Xiaomin Ning

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomin Ning

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

All Works

11 of 11 papers shown
1.
Ning, Xiaomin, Yang Liu, Tingting Shen, et al.. (2024). Myeloid‐derived suppressor cells from tumour‐bearing mice induce the population expansion of CD19hiFcγRIIbhi regulatory B cells via PD‐L1. Immunology. 172(1). 127–143. 2 indexed citations
2.
Ning, Xiaomin, et al.. (2016). Regulation of Adipogenesis by Quinine through the ERK/S6 Pathway. International Journal of Molecular Sciences. 17(4). 504–504. 22 indexed citations
3.
Ning, Xiaomin, Shuai Liu, Yang Qiu, et al.. (2016). Expression Profiles and Biological Roles of miR-196a in Swine. Genes. 7(2). 5–5. 13 indexed citations
4.
Ning, Xiaomin, et al.. (2016). Wnt3a regulates mitochondrial biogenesis through p38/CREB pathway. Biochemical and Biophysical Research Communications. 516(3). 1019–1025. 10 indexed citations
5.
Mori, Hiroyuki, Yao Yao, Brian S. Learman, et al.. (2016). Induction of WNT11 by hypoxia and hypoxia-inducible factor-1α regulates cell proliferation, migration and invasion. Scientific Reports. 6(1). 21520–21520. 43 indexed citations
6.
Simon, B, Brian S. Learman, Sebastian D. Parlee, et al.. (2014). Sweet Taste Receptor Deficient Mice Have Decreased Adiposity and Increased Bone Mass. PLoS ONE. 9(1). e86454–e86454. 58 indexed citations
7.
Simon, B, Sebastian D. Parlee, Brian S. Learman, et al.. (2013). Artificial Sweeteners Stimulate Adipogenesis and Suppress Lipolysis Independently of Sweet Taste Receptors. Journal of Biological Chemistry. 288(45). 32475–32489. 98 indexed citations
8.
Liu, Shuai, Xiaomin Ning, Meihang Li, et al.. (2013). miR-191 May Regulate Pig Preadipocyte Differentiation by Targeting The Transcription Factor C/EBPβ. ACTA AGRONOMICA SINICA. 40(2). 165–165. 1 indexed citations
9.
Qiu, Yang, Shuai Liu, Xiaomin Ning, et al.. (2012). [Over-expressed MiR-103 promotes porcine adipocyte differentiation].. PubMed. 28(8). 927–36. 7 indexed citations
10.
Li, Guoxi, et al.. (2011). MicroRNA identity and abundance in developing swine adipose tissue as determined by solexa sequencing. Journal of Cellular Biochemistry. 112(5). 1318–1328. 115 indexed citations
11.
Li, Guoxi, et al.. (2010). Biological role of MicroRNA-103 based on expression profile and target genes analysis in pigs. Molecular Biology Reports. 38(7). 4777–4786. 26 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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