Jingya Lin

431 citations
16 papers · 326 · h-index 11

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 5
    • Neurological disorders and treatments 4
    • Neuroinflammation and Neurodegeneration Mechanisms 2
    • Photosynthetic Processes and Mechanisms 3

Jingya Lin

15 papers receiving 324 citations

Peers

Jingya Lin
Comparison fields: 5 of 76
  • Neurology 70
  • Neurology 78
  • Biological Psychiatry 12
  • Cellular and Molecular Neuroscience 61
  • Developmental Neuroscience 10
Replace Rengang Wang with:
Rengang Wang China
Yueming Chang United States
Simona Maida Italy
Wen-Shuo Geng China
Faneng Sun United States
Françoise Esclaire France
Janis Noonan Ireland
Xixi Li China
Jong-Seok Lee South Korea
Uzma Saeed India
Jingya Lin relative to Rengang Wang China Rengang Wang's profile →
Citations per field
00.5×1.5×2.1×
Rengang Wang · 1×
Citations per year

Countries citing papers authored by Jingya Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jingya Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201984
2 202041
3 201837
4 201630
5 202220
6 201720
7 202119
8 202019
9 201718
10 201713
11 201410
12 20199
13 20174
14
Effects of tau on Aβ-induced synaptic damage in a Drosophila model of Alzheimer's disease.
20221
15 20221
16 20240

About Jingya Lin

Jingya Lin is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Plant Science and Neurology, having authored 16 papers that have together received 326 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Plant Molecular Biology Research (4 papers), Neurological disorders and treatments (4 papers), Nerve injury and regeneration (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Neurology (70 citations), Neurology (78 citations), Biological Psychiatry (12 citations), Cellular and Molecular Neuroscience (61 citations) and Developmental Neuroscience (10 citations). Jingya Lin has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Ziqiang Zhu, Xijin Wang, Zhenguo Liu, Aijuan Yan, Lu Song, Huanhuan Jin, Ying Liu, Na Wu, Zhihua Liu and Yu Zhang. Their work appears in journals such as Frontiers in Aging Neuroscience, iScience, Scientific Reports, Trends in Plant Science and Frontiers in Cellular 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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