Gary E. Landreth

39.2k citations
225 papers · 26.5k indexed · 6 hit papers · h-index 89

Gary E. Landreth

221 papers receiving 26.0k citations

Hit Papers

TREM2 deficiency eliminates TREM2+ i...5252000202620082017250500750

Peers

Gary E. Landreth
Comparison fields: 5 of 160
  • Neurology 9.0k
  • Biological Psychiatry 1.8k
  • Physiology 10.3k
  • Developmental Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 5.5k
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Guojun Bu United States
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Citations per field
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Citations per year

Countries citing papers authored by Gary E. Landreth

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Landreth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary E. Landreth. 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 Gary E. Landreth. The network helps show where Gary E. Landreth may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202319
2 202252
3 202071
4
Nuclear Receptors as Therapeutic Targets for Neurodegenerative Diseases: Lost in Translation
20191
5 201863
6 201842
7
Active PSF shaping and adaptive optics enable volumetric localization microscopy through brain sections
20181
8 201715
9
TREM2 in Neurodegenerative Diseases
20172
10 2016347
11 2015129
12 201525
13
ApoE-Directed Therapeutics Rapidly Clear β-Amyloid and Reverse Deficits in AD Mouse Modelsbreakdown →
2012854
14 2011110
15 2009158
16 2007291
17 2006321
18 200566
19 2002322
20 199924

About Gary E. Landreth

Gary E. Landreth is a scholar working on Neurology, Physiology and Biological Psychiatry, having authored 225 papers that have together received 26.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (70 papers), Alzheimer's disease research and treatments (64 papers), Peroxisome Proliferator-Activated Receptors (40 papers), Nuclear Receptors and Signaling (18 papers), Cholesterol and Lipid Metabolism (15 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Melanoma and MAPK Pathways (12 papers) and Drug Transport and Resistance Mechanisms (12 papers). The work is most often cited by research in Neurology (9.0k citations), Biological Psychiatry (1.8k citations) and Physiology (10.3k citations). Gary E. Landreth has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Michael T. Heneka, Colin K. Combs, J. Colleen Karlo, Douglas R. McDonald, Jessica Koenigsknecht-Talboo, Erin G. Reed-Geaghan, Qingguang Jiang, Taylor R. Jay, Brandy Wilkinson and Bruce T. Lamb. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Alzheimer s & Dementia, Journal of Neurochemistry and Molecular and Cellular Biology.

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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