Jeannie Chin

6.6k citations
50 papers · 5.1k indexed · 3 hit papers · h-index 31

Jeannie Chin

48 papers receiving 5.0k citations

Hit Papers

Amyloid-β/Fyn–Induced Synaptic, Network, and Cognitive Im...52320062026201220194008001.2k

Peers

Jeannie Chin
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 2.7k
  • Neurology 938
  • Physiology 2.8k
  • Developmental Neuroscience 390
  • Biological Psychiatry 232
Replace Nino Devidze with:
Nino Devidze United States
Gui-Qiu Yu United States
Henry J. Waldvogel New Zealand
Kaitlyn Ho United States
Michael E. Calhoun United States
Jennifer I. Luebke United States
Ciaran M. Regan Ireland
Guy R. Seabrook United States
Jason D. Shepherd United States
Dorothée Abramowski Switzerland
Jeannie Chin relative to Nino Devidze United States Nino Devidze's profile →
Citations per field
00.5×1.6×
Nino Devidze · 1×
Citations per year

Countries citing papers authored by Jeannie Chin

Since Specialization
Citations

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

Fields of papers citing papers by Jeannie Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20244
3 20244
4 20240
5 20209
6 201982
7 201775
8 201632
9 201388
10
Amyloid-β/Fyn–Induced Synaptic, Network, and Cognitive Impairments Depend on Tau Levels in Multiple Mouse Models of Alzheimer's Diseasebreakdown →
2011523
11 201074
12 2007153
13
Aberrant Excitatory Neuronal Activity and Compensatory Remodeling of Inhibitory Hippocampal Circuits in Mouse Models of Alzheimer's Diseasebreakdown →
20071257
14 200797
15 200641
16 2006157
17 2005265
18 2005125
19 200422
20 200041

About Jeannie Chin

Jeannie Chin is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Physiology, having authored 50 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (25 papers), Alzheimer's disease research and treatments (24 papers), Neurogenesis and neuroplasticity mechanisms (8 papers), Cholinesterase and Neurodegenerative Diseases (7 papers), Memory and Neural Mechanisms (7 papers), Neurobiology and Insect Physiology Research (6 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.7k citations), Neurology (938 citations) and Physiology (2.8k citations). Jeannie Chin has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Lennart Mucke, Jorge J. Palop, Gui-Qiu Yu, Nga Bien‐Ly, Erik D. Roberson, Jeffrey L. Noebels, Jong W. Yoo, Steven Finkbeiner, Myo T. Thwin and Jun Wang. Their work appears in journals such as Journal of Neuroscience, Neurobiology of Aging, PLoS ONE, Nature Medicine and Journal of Neurophysiology.

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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