David J. Thornton

13.8k citations
169 papers · 9.6k indexed · 3 hit papers · h-index 57
Topics
Glycosylation and Glycoproteins Research (67 papers)Carbohydrate Chemistry and Synthesis (42 papers)Proteoglycans and glycosaminoglycans research (24 papers)

In The Last Decade

David J. Thornton

165 papers receiving 9.3k citations

Hit Papers

Improving risk assessments for sex offenders: A compariso...2000202620082017200020072008200400600

Peers

David J. Thornton
Comparison fields: 5 of 187
  • Molecular Biology 3.7k
  • Pulmonary and Respiratory Medicine 2.2k
  • Immunology 1.2k
  • Cell Biology 1.2k
  • Physiology 1.1k
Replace Martin Schaller with:
Martin Schaller Germany
Michael A. McGuckin Australia
Gunnar C. Hansson Sweden
Malin Johansson Sweden
James Madara United States
Gerald B. Pier United States
Marian R. Neutra United States
Joshua D. Nosanchuk United States
Scott J. Hultgren United States
Terje Espevik Norway
David J. Thornton relative to Martin Schaller Germany Martin Schaller's profile →
Citations per field
00.5×1.5×2.2×
Martin Schaller · 1×
Citations per year

Countries citing papers authored by David J. Thornton

Since Specialization
Citations

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

Fields of papers citing papers by David J. Thornton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Thornton

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Thornton. A scholar is included among the top collaborators of David J. Thornton 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 J. Thornton. David J. Thornton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 85
3 24
4 26
5 1
6 83
7 227
8 8
9 44
10 19
11 158
12 97
13 112
14 37
15 29
16 132
17 122
18 19
19 43
20 112

About David J. Thornton

David J. Thornton is a scholar working on Equine, Parasitology and Cell Biology, having authored 169 papers that have together received 9.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (67 papers), Carbohydrate Chemistry and Synthesis (42 papers) and Proteoglycans and glycosaminoglycans research (24 papers). The work is most often cited by research in Parasitology (542 citations), Cell Biology (1.2k citations) and Pulmonary and Respiratory Medicine (2.2k citations). David J. Thornton has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include John K. Sheehan, Karine Rousseau, Michael A. McGuckin, Sara Kirkham, Marj Howard, Caroline Ridley, Richard K. Grencis, P S Richardson, David Knight and Ingemar Carlstedt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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