Xiaomin Ning

1.0k citations
11 papers · 408 · h-index 8

Impact in

    • Olfactory and Sensory Function Studies
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 4
    • Epigenetics and DNA Methylation 1
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 4

Xiaomin Ning

11 papers receiving 404 citations

Peers

Xiaomin Ning
Comparison fields: 5 of 66
  • Sensory Systems 65
  • Cancer Research 140
  • Nutrition and Dietetics 144
  • Endocrine and Autonomic Systems 54
  • Molecular Biology 171
Replace Johan Medina with:
Johan Medina Japan
Nelsa L. Estrella United States
Marcy L. Guerra United States
Deborah A. Keeton United States
Brian G. Jorgensen United States
Thucydides L. Salunga Japan
Marie-Lise Jourdan France
Carole Todd United Kingdom
Daiki Murase Japan
Xiaomin Ning relative to Johan Medina Japan Johan Medina's profile →
Citations per field
00.5×
Johan Medina · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Xiaomin Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaomin Ning Line = papers co-authored together Xiaomin Ning links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2011117
2 2013105
3 201460
4 201644
5 201026
6 201623
7 201613
8 201610
9
[Over-expressed MiR-103 promotes porcine adipocyte differentiation].
20127
10 20242
11 20131

About Xiaomin Ning

Xiaomin Ning is a scholar working on Molecular Biology, Cancer Research, Nutrition and Dietetics, Endocrine and Autonomic Systems and Sensory Systems, having authored 11 papers that have together received 408 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Olfactory and Sensory Function Studies (2 papers), Regulation of Appetite and Obesity (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Sensory Systems (65 citations), Cancer Research (140 citations), Nutrition and Dietetics (144 citations), Endocrine and Autonomic Systems (54 citations) and Molecular Biology (171 citations). Xiaomin Ning has collaborated with scholars based in China, United States and Nepal. Frequent co-authors include Gongshe Yang, Yanjie Li, Guoxi Li, Xinjian Li, Brian S. Learman, William P. Cawthorn, Ormond A. MacDougald, Hiroyuki Mori, Erica L. Scheller and Björn Tyrberg. Their work appears in journals such as Journal of Cellular Biochemistry, Molecular Biology Reports, Immunology, Biochemical and Biophysical Research Communications and Scientific Reports.

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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