Yanting Xue

897 citations
9 papers · 713 · h-index 7

Impact in

    • Neurogenesis and neuroplasticity mechanisms
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers
    • RNA Interference and Gene Delivery

Papers in

Yanting Xue

9 papers receiving 696 citations

Peers

Yanting Xue
Comparison fields: 5 of 65
  • Developmental Neuroscience 50
  • Molecular Biology 600
  • Cancer Research 94
  • Genetics 66
  • Business and International Management 9
Replace Э. Б. Дашинимаев with:
Э. Б. Дашинимаев Russia
Anne E. Conway United States
Tanya Hatzistavrou Australia
Nergis Kara United States
Jyh‐Chang Jean United States
Michelle Desler United States
Jere Weltner Finland
Diane Golebiowski United States
Damian Wollny Germany
Peter D. Tonge Canada
Yanting Xue relative to Э. Б. Дашинимаев Russia Э. Б. Дашинимаев's profile →
Citations per field
00.5×10×12.9×
Э. Б. Дашинимаев · 1×
Citations per year

Countries citing papers authored by Yanting Xue

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanting Xue, 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 Yanting Xue Line = papers co-authored together Yanting Xue links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2011210
2 2012182
3 2013149
4 2013128
5 202124
6 201910
7 20207
8 20232
9 20171

About Yanting Xue

Yanting Xue is a scholar working on Molecular Biology, Cognitive Neuroscience, Animal Science and Zoology, Genetics and Developmental Neuroscience, having authored 9 papers that have together received 713 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers), Renal and related cancers (4 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper), Meat and Animal Product Quality (1 paper), Electrowetting and Microfluidic Technologies (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Developmental Neuroscience (50 citations), Molecular Biology (600 citations), Cancer Research (94 citations), Genetics (66 citations) and Business and International Management (9 citations). Yanting Xue has collaborated with scholars based in China, Mexico and Hong Kong. Frequent co-authors include Duanqing Pei, Baojian Liao, Linli Wang, Guangjin Pan, Xichen Bao, Dajiang Qin, Yongli Shan, Shubin Chen, Baoming Qin and Haitao Wang. Their work appears in journals such as Stem Cell Research, Journal of Biological Chemistry, FEBS Journal, Nature Methods and Metabolic Engineering.

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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