Yanting Xing

709 citations
17 papers · 604 · h-index 12

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Biomaterials top 10%
    • Supramolecular Self-Assembly in Materials
    • Nanoparticle-Based Drug Delivery

Papers in

    • Alzheimer's disease research and treatments 12
    • Protein Structure and Dynamics 4
    • RNA Research and Splicing 2

Yanting Xing

15 papers receiving 602 citations

Peers

Yanting Xing
Comparison fields: 5 of 82
  • Physiology 325
  • Biomaterials 144
  • Molecular Biology 325
  • Cell Biology 59
  • Neurology 28
Replace Ava Faridi with:
Ava Faridi Australia
Koushik Debnath India
Takuma Okada Japan
Devkee M. Vadukul United Kingdom
Silvia Torrassa Italy
L. G. Bobyleva Russia
Mark Taylor United Kingdom
Wan Xu China
Irina Naletova Italy
Elisa Salvati Italy
Yanting Xing relative to Ava Faridi Australia Ava Faridi's profile →
Citations per field
00.5×1.5×
Ava Faridi · 1×
Citations per year

Countries citing papers authored by Yanting Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yanting Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019164
2 201870
3 201958
4 201855
5 202054
6 201842
7 202135
8 201733
9 201928
10 202018
11 202015
12 201714
13 20209
14 20228
15 20071
16 20250
17 20190

About Yanting Xing

Yanting Xing is a scholar working on Physiology, Molecular Biology, Biomaterials, Cell Biology and Surgery, having authored 17 papers that have together received 604 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Supramolecular Self-Assembly in Materials (6 papers), Protein Structure and Dynamics (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA Research and Splicing (2 papers), Electric Vehicles and Infrastructure (1 paper), Transportation and Mobility Innovations (1 paper) and Pickering emulsions and particle stabilization (1 paper). The work is most often cited by research in Physiology (325 citations), Biomaterials (144 citations), Molecular Biology (325 citations), Cell Biology (59 citations) and Neurology (28 citations). Yanting Xing has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Feng Ding, Pu Chun Ke, Aleksandr Käkinen, Thomas P. Davis, Yunxiang Sun, Bo Wang, Ava Faridi, Emily H. Pilkington, Ibrahim Javed and Aparna Nandakumar. Their work appears in journals such as Biomacromolecules, Scientific Reports, Small, The Journal of Physical Chemistry Letters and ACS Nano.

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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