Sam Gandy

6.5k citations
8 papers · 5.1k · 1 hit paper · h-index 6

Impact in

    • Autophagy in Disease and Therapy
  • Physiology top 0.5%
    • Calcium signaling and nucleotide metabolism
    • Alzheimer's disease research and treatments

Papers in

    • Alzheimer's disease research and treatments 2
    • Cholinesterase and Neurodegenerative Diseases 2

Sam Gandy

7 papers receiving 5.1k citations

Sam Gandy's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) 2016 · 4.7k citations
4.7k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Sam Gandy
Comparison fields: 5 of 156
  • Epidemiology 3.0k
  • Physiology 387
  • Geriatrics and Gerontology 177
  • Aging 83
  • Cell Biology 688
Replace Thomas I.S. Hwang with:
Thomas I.S. Hwang Taiwan
Po‐Wu Gean Taiwan
Arsenio Fernández‐López Spain
Sandra Cottet Switzerland
Michael J. Morgan United States
Isabelle Hamer Belgium
Michele Wolfe Bianchi France
Kelsey B. Law Canada
Paula Daza Spain
Ute‐Christiane Meier United Kingdom
Sam Gandy relative to Thomas I.S. Hwang Taiwan Thomas I.S. Hwang's profile →
Citations per field
00.5×1.5×
Thomas I.S. Hwang · 1×
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 14 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

8 of 8 papers shown
#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164660
2 2010222
3 200998
4 201389
5 201422
6 198520
7 20142
8 20000

About Sam Gandy

Sam Gandy is a scholar working on Physiology, Pharmacology, Biological Psychiatry, Molecular Biology and Cancer Research, having authored 8 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (2 papers), Alzheimer's disease research and treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Tryptophan and brain disorders (1 paper), Autophagy in Disease and Therapy (1 paper), Pluripotent Stem Cells Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Epidemiology (3.0k citations), Physiology (387 citations), Geriatrics and Gerontology (177 citations), Aging (83 citations) and Cell Biology (688 citations). Sam Gandy has collaborated with scholars based in United States. Frequent co-authors include John Steele, Steven T. DeKosky, Sanay Chearskul, D. K. Hazra, Hui Hwang Goh, S.L. Jeffcoate, S. Sufi, Christopher Joseph Romero, Dominik Paquet and Maitane Ortiz‐Virumbrales. Their work appears in journals such as Autophagy, Proceedings of the National Academy of Sciences, Clinical Chemistry, Alzheimer s & Dementia and JAMA Neurology.

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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