Karin Lin

2.9k citations
8 papers · 1.4k · 1 hit paper · h-index 6

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Karin Lin

7 papers receiving 1.4k citations

Karin Lin's Hit Papers

Young blood reverses age-related impairments in cognitive function and synaptic plasticity in mice 2014 · 786 citations
7860+4+8Years since publication250500750

Peers

Karin Lin
Comparison fields: 5 of 99
  • Aging 147
  • Neurology 464
  • Developmental Neuroscience 210
  • Biological Psychiatry 109
  • Physiology 405
Replace Joe C. Udeochu with:
Joe C. Udeochu United States
Rafael Wabl United States
Elizabeth Wheatley United States
Géraldine Gontier United States
Lida Katsimpardi France
Kira I. Mosher United States
Yingbo He United States
Lindsay A. Hohsfield United States
Victoria A. Rafalski United States
M. Elizabeth Forbes United States
Karin Lin relative to Joe C. Udeochu United States Joe C. Udeochu's profile →
Citations per field
00.5×1.5×
Joe C. Udeochu · 1×
Citations per year

Countries citing papers authored by Karin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Karin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Young blood reverses age-related impairments in cognitive function and synaptic plasticity in mice
Hit paper breakdown →
2014786
2 2015367
3 2020151
4 202378
5 202025
6 202118
7 20251
8 20250

About Karin Lin

Karin Lin is a scholar working on Neurology, Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Immunology, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Apelin-related biomedical research (1 paper), Inflammation biomarkers and pathways (1 paper), Signaling Pathways in Disease (1 paper), MicroRNA in disease regulation (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Aging (147 citations), Neurology (464 citations), Developmental Neuroscience (210 citations), Biological Psychiatry (109 citations) and Physiology (405 citations). Karin Lin has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Lucas K. Smith, Gregor Bieri, Saul Villeda, Rafael Wabl, Elizabeth Wheatley, Tony Wyss‐Coray, Jian Luo, Joe C. Udeochu, Jinte Middeldorp and Daniela Berdnik. Their work appears in journals such as Nature Medicine, Nature Communications, Neuron, Nature Neuroscience and Aging Cell.

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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