Yanxia Bei

2.5k citations
13 papers · 1.8k · h-index 9

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • RNA Interference and Gene Delivery

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 8
    • Plant Molecular Biology Research 2
    • Chromosomal and Genetic Variations 2

Yanxia Bei

13 papers receiving 1.8k citations

Peers

Yanxia Bei
Comparison fields: 5 of 81
  • Aging 801
  • Molecular Biology 1.4k
  • Endocrine and Autonomic Systems 108
  • Cancer Research 157
  • Cell Biology 141
Replace Ka Ming Pang with:
Ka Ming Pang United States
Kohta Ikegami United States
Shawn Cameron Ahmed United States
Thea A. Egelhofer United States
Sevinç Ercan United States
Marco Mangone United States
Madathia Sarkissian United States
Paul E. Mains Canada
Dustin L. Updike United States
Allison L. Abbott United States
Yanxia Bei relative to Ka Ming Pang United States Ka Ming Pang's profile →
Citations per field
00.5×1.5×2.0×
Ka Ming Pang · 1×
Citations per year

Countries citing papers authored by Yanxia Bei

Since Specialization
Citations

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

Fields of papers citing papers by Yanxia Bei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1997550
2 2006496
3 2006301
4 2002134
5 199996
6 200591
7 201961
8 200231
9 201615
10 20229
11 20078
12 20073
13 20061

About Yanxia Bei

Yanxia Bei is a scholar working on Aging, Plant Science, Molecular Biology, Public Health, Environmental and Occupational Health and Virology, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), CRISPR and Genetic Engineering (6 papers), Reproductive Biology and Fertility (3 papers), Plant Molecular Biology Research (2 papers), RNA regulation and disease (2 papers), Chromosomal and Genetic Variations (2 papers), RNA Research and Splicing (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Aging (801 citations), Molecular Biology (1.4k citations), Endocrine and Autonomic Systems (108 citations), Cancer Research (157 citations) and Cell Biology (141 citations). Yanxia Bei has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Craig C. Mello, Ka Ming Pang, Christian E. Rocheleau, Shohei Mitani, Rueyling Lin, Yoon‐Hee Cha, James R Priess, Mussa Ali, William D. Downs and Erbay Yigit. Their work appears in journals such as Cell, Current Biology, Frontiers in Medicine, Journal of Biological Chemistry and EMBO 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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