Zhenkai Xing

501 citations
13 papers · 385 · h-index 11

Impact in

Papers in

    • RNA Interference and Gene Delivery 3
    • Receptor Mechanisms and Signaling 2
    • Ubiquitin and proteasome pathways 2
    • Advanced biosensing and bioanalysis techniques 1
    • Signaling Pathways in Disease 1
    • Virus-based gene therapy research 2
    • Genetics and Neurodevelopmental Disorders 2

Zhenkai Xing

13 papers receiving 383 citations

Peers

Zhenkai Xing
Comparison fields: 5 of 72
  • Biological Psychiatry 31
  • Neurology 53
  • Biomaterials 67
  • Molecular Biology 217
  • Cellular and Molecular Neuroscience 49
Replace Kanelina Karali with:
Kanelina Karali Greece
Archontia Kaminari Greece
Wei Yi Ong Singapore
Yaling Liu China
Litia Carvalho United States
Michael W. Weible Australia
Nina P. Connolly United States
Neal K. Bennett United States
Nadia Sachewsky Canada
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Citations per field
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Citations per year

Countries citing papers authored by Zhenkai Xing

Since Specialization
Citations

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

Fields of papers citing papers by Zhenkai Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202179
2 201671
3 201643
4 201942
5 201832
6 201823
7 202020
8 201919
9 201815
10 202014
11 202010
12 202310
13 20237

About Zhenkai Xing

Zhenkai Xing is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 13 papers that have together received 385 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Alzheimer's disease research and treatments (2 papers), Virus-based gene therapy research (2 papers), Receptor Mechanisms and Signaling (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Ubiquitin and proteasome pathways (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Biological Psychiatry (31 citations), Neurology (53 citations), Biomaterials (67 citations), Molecular Biology (217 citations) and Cellular and Molecular Neuroscience (49 citations). Zhenkai Xing has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Xiaojuan Zhu, Xuesi Chen, Huayu Tian, Zhaopei Guo, Yili Wu, Hongju Cheng, Wenyan Liu, Hongmei Yao, Bailiu Ya and Qinqin Wang. Their work appears in journals such as Acta Biomaterialia, International Journal of Molecular Sciences, Journal of Alzheimer s Disease, Cerebral Cortex and Frontiers in Aging Neuroscience.

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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