Kevin J. Ashton
- Computer Networks and Communications top 1%
- Molecular Biology top 10%
- Information Systems top 1%
- Psychiatry and Mental health top 2%
- Industrial and Manufacturing Engineering top 1%
- Co-authors
- John P. HeadrickSanjay E. SarmaLyn R. GriffithsCuebong WongSonya Marshall‐GradisnikDuncan McFarlaneJason N. PeartEkua Brenu
- Topics
- Cardiac Ischemia and Reperfusion (16 papers)Muscle metabolism and nutrition (9 papers)Adipose Tissue and Metabolism (9 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Kevin J. Ashton
72 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 188
- Computer Networks and Communications 926
- Molecular Biology 805
- Information Systems 490
- Psychiatry and Mental health 473
- Industrial and Manufacturing Engineering 418
Countries citing papers authored by Kevin J. Ashton
This map shows the geographic impact of Kevin J. Ashton'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 Kevin J. Ashton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin J. Ashton more than expected).
Fields of papers citing papers by Kevin J. Ashton
This network shows the impact of papers produced by Kevin J. Ashton. 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 Kevin J. Ashton. The network helps show where Kevin J. Ashton may publish in the future.
Co-authorship network of co-authors of Kevin J. Ashton
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Ashton. A scholar is included among the top collaborators of Kevin J. Ashton 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 Kevin J. Ashton. Kevin J. Ashton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 18 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 21 | |
| 9 | 14 | |
| 10 | 61 | |
| 11 | 36 | |
| 12 | 50 | |
| 13 | 33 | |
| 14 | 24 | |
| 15 | Effects of ageing on cardiac antioxidant enzyme systems | 1 |
| 16 | 44 | |
| 17 | 89 | |
| 18 | 83 | |
| 19 | 54 | |
| 20 | 2 |
About Kevin J. Ashton
Kevin J. Ashton is a scholar working on Physiology, Pathology and Forensic Medicine and Cell Biology, having authored 72 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (16 papers), Muscle metabolism and nutrition (9 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Physiology (286 citations), Industrial and Manufacturing Engineering (418 citations) and Computer Networks and Communications (926 citations). Kevin J. Ashton has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John P. Headrick, Sanjay E. Sarma, Lyn R. Griffiths, Cuebong Wong, Sonya Marshall‐Gradisnik, Duncan McFarlane, Jason N. Peart, Ekua Brenu, Laura Willems and Mieke van Driel. Their work appears in journals such as PLoS ONE, Circulation Research and The Journal of Physiology.
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.