Dave Smith

1.8k citations
19 papers · 645 · h-index 12

Impact in

Papers in

Dave Smith

18 papers receiving 609 citations

Peers

Dave Smith
Comparison fields: 5 of 69
  • Psychiatry and Mental health 353
  • Pediatrics, Perinatology and Child Health 217
  • Genetics 83
  • Pharmacology 63
  • Cellular and Molecular Neuroscience 66
Replace Karen Booth McCormick with:
Karen Booth McCormick United States
Shean‐Sheng Wang United States
T. Goggin Ireland
Martine Guyot France
Jacob L. Zaidman Israel
Magdalena Bosak Poland
Svetlana Dimova Belgium
Alessandra Scaparrotta Italy
Miranda Pans Belgium
W. Paska United Kingdom
Dave Smith relative to Karen Booth McCormick United States Karen Booth McCormick's profile →
Citations per field
00.5×10×20×26×
Karen Booth McCormick · 1×
Citations per year

Countries citing papers authored by Dave Smith

Since Specialization
Citations

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

Fields of papers citing papers by Dave Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005112
2
The relationship between treatment with valproate, lamotrigine, and topiramate and the prognosis of the idiopathic generalised epilepsies.
2004112
3 199185
4 200784
5 199179
6 200136
7
A comparison of adult onset and "classical" idiopathic generalised epilepsy.
200427
8 200416
9 200714
10 199213
11 202111
12 200111
13 200111
14 200510
15 20109
16 19939
17 20004
18 20061
19 19951

About Dave Smith

Dave Smith is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Genetics, Cellular and Molecular Neuroscience and Epidemiology, having authored 19 papers that have together received 645 indexed citations. Recurring topics across this work include Epilepsy research and treatment (13 papers), Pharmacological Effects and Toxicity Studies (7 papers), Glioma Diagnosis and Treatment (3 papers), Meningioma and schwannoma management (2 papers), Neurological and metabolic disorders (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Psychiatry and Mental health (353 citations), Pediatrics, Perinatology and Child Health (217 citations), Genetics (83 citations), Pharmacology (63 citations) and Cellular and Molecular Neuroscience (66 citations). Dave Smith has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Andrew Nicolson, David Chadwick, R E Appleton, John Paul Leach, P M Foy, Ian Williams, Jane L. Hutton, M D Shaw, P. Roberts and AM Breckenridge. Their work appears in journals such as Seizure, Journal of Neurology Neurosurgery & Psychiatry, Health Technology Assessment, British Journal of Clinical Pharmacology and QJM.

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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