Danielle G. Smith

18 papers receiving 2.3k citations

Danielle G. Smith's Hit Papers

The redox chemistry of the Alzheimer's disease amyloid β peptide 2007 · 534 citations
5340+6+12Years since publication100200300400500

Peers

Danielle G. Smith
Comparison fields: 5 of 100
  • Biological Psychiatry 699
  • Behavioral Neuroscience 400
  • Physiology 1.1k
  • Virology 143
  • Neurology 238
Replace Andrea M. Cesura with:
Andrea M. Cesura Switzerland
G. Quack Germany
Irene H. Cheng United States
Jared Ehrhart United States
Xueqin Song China
Rahul Deshmukh India
Sarah Beggiato Italy
Mario E. Götz Germany
W. Gsell Germany
Inés Moreno‐González United States
Danielle G. Smith relative to Andrea M. Cesura Switzerland Andrea M. Cesura's profile →
Citations per field
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Andrea M. Cesura · 1×
Citations per year

Countries citing papers authored by Danielle G. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Danielle G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle G. Smith. 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 Danielle G. Smith. The network helps show where Danielle G. Smith may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1
The redox chemistry of the Alzheimer's disease amyloid β peptide
Hit paper breakdown →
2007534
2 2001449
3 2003191
4 2003184
5 2003174
6 2006169
7 2000121
8 2005104
9 200397
10 200178
11 201362
12 200948
13 200530
14 201028
15 201125
16 200312
17 20094
18 20122

About Danielle G. Smith

Danielle G. Smith is a scholar working on Physiology, Molecular Biology, Pharmacology, Biological Psychiatry and Oncology, having authored 18 papers that have together received 2.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Cholinesterase and Neurodegenerative Diseases (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Tryptophan and brain disorders (4 papers), Computational Drug Discovery Methods (3 papers), Biochemical effects in animals (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (699 citations), Behavioral Neuroscience (400 citations), Physiology (1.1k citations), Virology (143 citations) and Neurology (238 citations). Danielle G. Smith has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Kevin J. Barnham, Roberto Cappai, Gilles J. Guillemin, George A. Smythe, Bruce J. Brew, Patricia J. Armati, Ashley I. Bush, Stephen J. Kerr, Cyril C. Curtain and Colin L. Masters. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, Journal of Interferon & Cytokine Research, Biochemical Society Transactions and Expert Review of Anticancer Therapy.

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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