Yuting Ren

910 citations
65 papers · 652 · h-index 16

Impact in

  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurogenetic and Muscular Disorders Research

Papers in

Yuting Ren

59 papers receiving 644 citations

Peers

Yuting Ren
Comparison fields: 5 of 113
  • Neurology 153
  • Genetics 59
  • Renewable Energy, Sustainability and the Environment 69
  • Neurology 24
  • Materials Chemistry 128
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Yuting Ren relative to Asako Tamura Japan Asako Tamura's profile →
Citations per field
00.5×10×15×17.5×
Asako Tamura · 1×
Citations per year

Countries citing papers authored by Yuting Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202345
2 201434
3 201831
4 202330
5 201630
6 202128
7 202225
8 202124
9 201821
10 201521
11 202321
12 202121
13 202320
14 202419
15 201519
16 201718
17
Measurement of cystatin C levels in the cerebrospinal fluid of patients with amyotrophic lateral sclerosis.
201515
18 201815
19 202014
20 202513

About Yuting Ren

Yuting Ren is a scholar working on Molecular Biology, Neurology, Materials Chemistry, Electrical and Electronic Engineering and Food Science, having authored 65 papers that have together received 652 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (12 papers), Covalent Organic Framework Applications (5 papers), Neurogenetic and Muscular Disorders Research (4 papers), Advanced battery technologies research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Electrocatalysts for Energy Conversion (4 papers), Advanced Photocatalysis Techniques (3 papers) and Metal-Organic Frameworks: Synthesis and Applications (3 papers). The work is most often cited by research in Neurology (153 citations), Genetics (59 citations), Renewable Energy, Sustainability and the Environment (69 citations), Neurology (24 citations) and Materials Chemistry (128 citations). Yuting Ren has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Xusheng Huang, Fei Yang, Wenjia Zhu, Jiandu Lei, Luying Wang, Liyu Zhu, Siyuan Li, Juncheng Hu, Xiaolan Zhang and Zhaohui Chen. Their work appears in journals such as Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration, ACS Applied Nano Materials, Annals of Translational Medicine, Annals of Palliative Medicine and Journal of the Neurological Sciences.

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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