Yin‐Guo Lin

760 citations
14 papers · 641 · h-index 10

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Amyotrophic Lateral Sclerosis Research

Papers in

Yin‐Guo Lin

12 papers receiving 621 citations

Peers

Yin‐Guo Lin
Comparison fields: 5 of 69
  • Physiology 363
  • Neurology 102
  • Biological Psychiatry 23
  • Cellular and Molecular Neuroscience 175
  • Pharmacology 117
Replace Janelle Nunan with:
Janelle Nunan Australia
Natàlia Crespo‐Biel Spain
Olga Petrova Germany
Dagmar Drexler Germany
Rejith Dayanandan United Kingdom
Leora M. Fox United States
Xia‐Chun Li China
Shu-Tao Xie China
Sylvie Burnouf France
Takehide Tsuda Japan
Yin‐Guo Lin relative to Janelle Nunan Australia Janelle Nunan's profile →
Citations per field
00.5×1.5×1.9×
Janelle Nunan · 1×
Citations per year

Countries citing papers authored by Yin‐Guo Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yin‐Guo Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2002257
2 2000110
3 199981
4 200764
5 200934
6 201323
7 201118
8 200914
9
Amyloid deposition and advanced age fails to induce Alzheimer's type progression in a double knock-in mouse model.
201212
10 202210
11 19909
12 20188
13 20171
14 20190

About Yin‐Guo Lin

Yin‐Guo Lin is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Cognitive Neuroscience, having authored 14 papers that have together received 641 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Sleep and Wakefulness Research (3 papers), Prion Diseases and Protein Misfolding (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Regulation of Appetite and Obesity (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Physiology (363 citations), Neurology (102 citations), Biological Psychiatry (23 citations), Cellular and Molecular Neuroscience (175 citations) and Pharmacology (117 citations). Yin‐Guo Lin has collaborated with scholars based in United States and France. Frequent co-authors include Dorothy G. Flood, Mary J. Savage, Richard W. Scott, John R. Ciallella, Andrew G. Reaume, Stephen P. Trusko, John A. Gruner, Robert Siman, James D. Hirsch and Eric K. Hoffman. Their work appears in journals such as Alzheimer s & Dementia, Journal of Neuroscience, Neuropeptides, American Journal Of Pathology and Diabetologia.

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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