Keith J. Todd

504 citations
15 papers · 370 · h-index 10

Impact in

Papers in

Keith J. Todd

14 papers receiving 357 citations

Peers

Keith J. Todd
Comparison fields: 5 of 59
  • Developmental Neuroscience 53
  • Cellular and Molecular Neuroscience 184
  • Anesthesiology and Pain Medicine 45
  • Physiology 33
  • Neurology 48
Replace Shaoqiu He with:
Shaoqiu He United States
Katherine Halievski Canada
Hideaki Hayashi Japan
Kliment Gatzinsky Sweden
Kyohei Kin Japan
Chiara Betelli Italy
Daisy T. Joo Canada
Thomas P. McGee United Kingdom
Alessandro Graziano United States
Prateesh Trivedi United Kingdom
Keith J. Todd relative to Shaoqiu He United States Shaoqiu He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keith J. Todd

Since Specialization
Citations

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

Fields of papers citing papers by Keith J. Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith J. Todd. 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 Keith J. Todd. The network helps show where Keith J. Todd may publish in the future.

Co-authors

The 20 scholars most cited alongside Keith J. Todd, 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 Keith J. Todd Line = papers co-authored together Keith J. Todd links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201081
2 201856
3 200653
4 200737
5 200431
6 200630
7 201323
8 200618
9
ECG for the diagnosis of pulmonary embolism when conventional imaging cannot be utilized: a case report and review of the literature.
200912
10 199110
11 20129
12 20025
13
ECG For The Diagnosis Of Pulmonary Embolism When Conventional Imaging Cannot Be Utilized: A Case Report And Review Of The Literature
20094
14 20241
15 20250

About Keith J. Todd

Keith J. Todd is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 15 papers that have together received 370 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Nerve injury and regeneration (3 papers), Ion channel regulation and function (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Cardiac Imaging and Diagnostics (2 papers), Epigenetics and DNA Methylation (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Developmental Neuroscience (53 citations), Cellular and Molecular Neuroscience (184 citations), Anesthesiology and Pain Medicine (45 citations), Physiology (33 citations) and Neurology (48 citations). Keith J. Todd has collaborated with scholars based in Canada, France and Chile. Frequent co-authors include Richard Robitaille, Houssam Darabid, Jean‐Claude Lacaille, Daniel Auld, Silvia Duong, Daniela Bravo, De Q.H. Tran, Roderick J. Finlayson, Declan W. Ali and Damian Redfearn. Their work appears in journals such as Medical Teacher, Journal of Neuroscience, PLoS ONE, Annals of Noninvasive Electrocardiology and Journal of Neurophysiology.

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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