Daniel J. Smart

30 papers receiving 1.5k citations

Peers

Daniel J. Smart
Comparison fields: 5 of 127
  • Orthopedics and Sports Medicine 356
  • Cancer Research 319
  • Health, Toxicology and Mutagenesis 251
  • Experimental and Cognitive Psychology 140
  • Physiology 249
Replace Zuzana Kovačíková with:
Zuzana Kovačíková Slovakia
Franklim Marques Portugal
Christopher D. Corcoran United States
You Jin Kim South Korea
A. E. Casey United Kingdom
Robert P. Weatherby Australia
Pasqualina Costanza Buono Italy
Alexander Pilger Austria
Vicki L. Davis United States
Daniel J. Smart relative to Zuzana Kovačíková Slovakia Zuzana Kovačíková's profile →
Citations per field
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Zuzana Kovačíková · 1×
Citations per year

Countries citing papers authored by Daniel J. Smart

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Smart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016305
2 2015134
3 2009122
4 2011111
5 2008107
6 201193
7 201381
8 200780
9 200672
10 201467
11 200253
12 201852
13 200842
14 201241
15 202028
16 201223
17 200820
18 201920
19 200619
20 201118

About Daniel J. Smart

Daniel J. Smart is a scholar working on Cancer Research, Orthopedics and Sports Medicine, Health, Toxicology and Mutagenesis, Molecular Biology and Physiology, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (11 papers), DNA Repair Mechanisms (9 papers), Cancer therapeutics and mechanisms (7 papers), Sports Performance and Training (6 papers), Sports injuries and prevention (5 papers), Genetically Modified Organisms Research (3 papers), Smoking Behavior and Cessation (3 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (356 citations), Cancer Research (319 citations), Health, Toxicology and Mutagenesis (251 citations), Experimental and Cognitive Psychology (140 citations) and Physiology (249 citations). Daniel J. Smart has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Nicholas D. Gill, Nicholas Gill, Will G. Hopkins, James Stephen Harvey, Joanna Vaile, ANTHONY MARK Lynch, Gary M. Williams, Caroline A. Austin, Nikolas John Hodges and Kenneth Lincoln Quarrie. Their work appears in journals such as The Journal of Strength and Conditioning Research, Toxicology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, European Journal of Sport Science and Mutation research. Fundamental and molecular mechanisms of mutagenesis.

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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