Eric Karran

16.8k citations
74 papers · 11.1k indexed · 7 hit papers · h-index 32

Eric Karran

71 papers receiving 10.9k citations

Hit Papers

The amyloi...472199720262006201650010001.5k

Peers

Eric Karran
Comparison fields: 5 of 150
  • Physiology 5.7k
  • Biological Psychiatry 542
  • Neurology 1.7k
  • Pharmacology 2.0k
  • Cellular and Molecular Neuroscience 1.4k
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Citations per field
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Citations per year

Countries citing papers authored by Eric Karran

Since Specialization
Citations

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

Fields of papers citing papers by Eric Karran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202331
3 20231
4 202324
5 202117
6 202116
7 202010
8
The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaquesbreakdown →
2019539
9
The Cellular Phase of Alzheimer’s Diseasebreakdown →
20161280
10 20151
11
The toxic Aβ oligomer and Alzheimer's disease: an emperor in need of clothesbreakdown →
20121611
12
The amyloid cascade hypothesis for Alzheimer's disease: an appraisal for the development of therapeuticsbreakdown →
20111707
13
Translational sciences-turning drug-like molecules into medicines.
20062
14 2000219
15 199952
16 199843
17 199634
18 199626
19 19952
20 199332

About Eric Karran

Eric Karran is a scholar working on Physiology, Neurology and Pharmacology, having authored 74 papers that have together received 11.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (39 papers), Cholinesterase and Neurodegenerative Diseases (13 papers), Computational Drug Discovery Methods (11 papers), Protease and Inhibitor Mechanisms (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Nuclear Receptors and Signaling (6 papers), Peptidase Inhibition and Analysis (5 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Physiology (5.7k citations), Biological Psychiatry (542 citations) and Neurology (1.7k citations). Eric Karran has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Bart De Strooper, Marc Mercken, Iryna Benilova, Nigel M. Hooper, Anthony J. Turner, Gary Christie, Ralph Hyde, Viktor Lakics, Frank Boess and John Hardy. Their work appears in journals such as Biochemical Journal, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Alzheimer s & Dementia and Biochemical Society Transactions.

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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