David S. Smith

11.4k citations
254 papers · 8.4k indexed · h-index 48

David S. Smith

247 papers receiving 7.7k citations

Peers

David S. Smith
Comparison fields: 5 of 182
  • Cellular and Molecular Neuroscience 1.5k
  • Neurology 953
  • Anesthesiology and Pain Medicine 335
  • Cell Biology 788
  • Insect Science 559
Replace Michael Emerson with:
Michael Emerson United Kingdom
Carol Kilkenny United Kingdom
John A. Cidlowski United States
Pankaj Mehta United States
Jonathan B. Cohen United States
Tsutomu Suzuki Japan
Oliver H. Lowry United States
John M. Walker United Kingdom
Michael Brownstein United States
Richard J. Lewis Australia
David S. Smith relative to Michael Emerson United Kingdom Michael Emerson's profile →
Citations per field
00.5×3.3×
Michael Emerson · 1×
Citations per year

Countries citing papers authored by David S. Smith

Since Specialization
Citations

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

Fields of papers citing papers by David S. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202018
2
FAST, NEAREST and Flagellar Regulation
20191
3 2012126
4 200923
5 200013
6 200014
7 19984
8
The butterflies of the West Indies and south Florida
199473
9 199311
10 199122
11 199045
12 198910
13 198911
14 198816
15
Novel 125I-labeled nortriptyline derivatives and their use in liquid-phase or magnetizable solid-phase second-antibody radioimmunoassays.
197913
16 19741
17 1971104
18 197027
19 1966103
20 196446

About David S. Smith

David S. Smith is a scholar working on Developmental Neuroscience, Anesthesiology and Pain Medicine and Cellular and Molecular Neuroscience, having authored 254 papers that have together received 8.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (29 papers), Traumatic Brain Injury and Neurovascular Disturbances (24 papers), Insect and Arachnid Ecology and Behavior (20 papers), Anesthesia and Neurotoxicity Research (13 papers), Physiological and biochemical adaptations (12 papers), Anesthesia and Sedative Agents (10 papers), Neuroscience and Neuropharmacology Research (10 papers) and Ion channel regulation and function (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Neurology (953 citations) and Anesthesiology and Pain Medicine (335 citations). David S. Smith has collaborated with scholars based in United States, United Kingdom and Puerto Rico. Frequent co-authors include Una Smith, J. Landon, U. Järlfors, Sergei A. Eremin, James W. Ryan, Shoko Nioka, Allan Gottschalk, Marilyn L. Cayer, Bo K. Siesjö and Stig Rehncrona. Their work appears in journals such as Journal of Neurosurgical Anesthesiology, Tissue and Cell, The Journal of Cell Biology, Anesthesiology and The Journal of Pediatrics.

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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