David Snead

2.0k total citations · 1 hit paper
16 papers, 1.4k citations indexed

About

David Snead is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Snead has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Snead's work include Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (6 papers) and Protein Structure and Dynamics (4 papers). David Snead is often cited by papers focused on Cellular transport and secretion (10 papers), Lipid Membrane Structure and Behavior (6 papers) and Protein Structure and Dynamics (4 papers). David Snead collaborates with scholars based in United States, Germany and United Kingdom. David Snead's co-authors include David Eliezer, James Shorter, Jonathan J. Lee, Brian S. Johnson, J. Michael McCaffery, Aaron D. Gitler, Jeremy S. Dittman, Rachel T. Wragg, Petra Wendler and Mariusz Matyszewski and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

David Snead

16 papers receiving 1.4k citations

Hit Papers

TDP-43 Is Intrinsically Aggregation-prone, and Amyotrophi... 2009 2026 2014 2020 2009 200 400 600

Peers

David Snead
Comparison fields: 5 of 69
  • Molecular Biology 948
  • Neurology 728
  • Cell Biology 367
  • Cellular and Molecular Neuroscience 260
  • Physiology 234
Replace Andreas C. Woerner with:
Andreas C. Woerner Germany
Florian Krach Germany
Wenyuan Wang China
Brian D. Freibaum United States
Leeanne McGurk United States
Wendy S. Woods United States
Alexander E. Conicella United States
Laura Tosatto Italy
Michael P. Hughes United States
Edward Gomes United States
Andreas C. Woerner Germany View profile →
Citations per field, relative to David Snead
David Snead · 1×
Citations per year, relative to David Snead
David Snead · 1×

Countries citing papers authored by David Snead

Since Specialization
Citations

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

Fields of papers citing papers by David Snead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Snead

This figure shows the co-authorship network connecting the top 25 collaborators of David Snead. A scholar is included among the top collaborators of David Snead based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Snead. David Snead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 26
2 6
3 143
4 54
5 3
6 22
7 24
8 66
9 32
10 176
11 13
12 41
13 65
14 47
15
TDP-43 Is Intrinsically Aggregation-prone, and Amyotrophic Lateral Sclerosis-linked Mutations Accelerate Aggregation and Increase Toxicity breakdown →
605
16 78

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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