Sam Gandy

346 papers receiving 24.7k citations

Sam Gandy's Hit Papers

Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums 2018 · 1.2k citations
1.2k0+10+20Years since publication4008001.2k

Peers

Sam Gandy
Comparison fields: 5 of 175
  • Physiology 14.3k
  • Biological Psychiatry 992
  • Neurology 3.0k
  • Pharmacology 3.5k
  • Cellular and Molecular Neuroscience 3.9k
Replace Chad A. Dickey with:
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Citations per year

Countries citing papers authored by Sam Gandy

Since Specialization
Citations

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

Fields of papers citing papers by Sam Gandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 348 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Familial Alzheimer's Disease–Linked Presenilin 1 Variants Elevate Aβ1–42/1–40 Ratio In Vitro and In Vivo
Hit paper breakdown →
19961320
2
Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums
Hit paper breakdown →
20181210
3
Endoproteolysis of Presenilin 1 and Accumulation of Processed Derivatives In Vivo
Hit paper breakdown →
1996895
4 2006554
5
Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus
Hit paper breakdown →
2018545
6 1992504
7 1998483
8 1990415
9 1994398
10 2005349
11 2009348
12 1994326
13 2006323
14 1996320
15 1992309
16 2017292
17 2009285
18 2006279
19 1996277
20 2010261

About Sam Gandy

Sam Gandy is a scholar working on Physiology, Pharmacology, Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 348 papers that have together received 25.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (200 papers), Cholinesterase and Neurodegenerative Diseases (53 papers), Traumatic Brain Injury Research (35 papers), Dementia and Cognitive Impairment Research (30 papers), Computational Drug Discovery Methods (29 papers), Prion Diseases and Protein Misfolding (26 papers), Traumatic Brain Injury and Neurovascular Disturbances (23 papers) and Neuroinflammation and Neurodegeneration Mechanisms (23 papers). The work is most often cited by research in Physiology (14.3k citations), Biological Psychiatry (992 citations), Neurology (3.0k citations), Pharmacology (3.5k citations) and Cellular and Molecular Neuroscience (3.9k citations). Sam Gandy has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Paul Greengard, Sangram S. Sisodia, Joseph D. Buxbaum, Michelle E. Ehrlich, Ralph Nigel Martins, Steven T. DeKosky, Mary Seeger, Donald L. Price, Hilda H. Slunt and Scott A. Small. Their work appears in journals such as Journal of Biological Chemistry, Journal of Alzheimer s Disease, Molecular Neurodegeneration, Molecular Psychiatry and Proceedings of the National Academy of Sciences.

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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