Gwen Kennedy
- Psychiatry and Mental health top 5%
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- J. J. F. BelchM. McLarenAlexander J. HillFaisel KhanV. A. SpenceW J RutterJohn H. NilsonBogi Andersen
- Topics
- Fibromyalgia and Chronic Fatigue Syndrome Research (12 papers)Blood Pressure and Hypertension Studies (4 papers)Myofascial pain diagnosis and treatment (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Gwen Kennedy
52 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 125
- Psychiatry and Mental health 438
- Molecular Biology 424
- Physiology 330
- Endocrinology, Diabetes and Metabolism 243
- Cardiology and Cardiovascular Medicine 240
Countries citing papers authored by Gwen Kennedy
This map shows the geographic impact of Gwen Kennedy'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 Gwen Kennedy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwen Kennedy more than expected).
Fields of papers citing papers by Gwen Kennedy
This network shows the impact of papers produced by Gwen Kennedy. 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 Gwen Kennedy. The network helps show where Gwen Kennedy may publish in the future.
Co-authorship network of co-authors of Gwen Kennedy
This figure shows the co-authorship network connecting the top 25 collaborators of Gwen Kennedy. A scholar is included among the top collaborators of Gwen Kennedy 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 Gwen Kennedy. Gwen Kennedy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 6 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 91 | |
| 8 | 30 | |
| 9 | 21 | |
| 10 | 45 | |
| 11 | 14 | |
| 12 | 56 | |
| 13 | 39 | |
| 14 | 73 | |
| 15 | 33 | |
| 16 | 52 | |
| 17 | 22 | |
| 18 | 19 | |
| 19 | 76 | |
| 20 | 47 |
About Gwen Kennedy
Gwen Kennedy is a scholar working on Psychiatry and Mental health, Sensory Systems and Cardiology and Cardiovascular Medicine, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (12 papers), Blood Pressure and Hypertension Studies (4 papers) and Myofascial pain diagnosis and treatment (4 papers). The work is most often cited by research in Psychiatry and Mental health (438 citations), Biochemistry (127 citations) and Endocrinology, Diabetes and Metabolism (243 citations). Gwen Kennedy has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include J. J. F. Belch, M. McLaren, Alexander J. Hill, Faisel Khan, V. A. Spence, W J Rutter, John H. Nilson, Bogi Andersen, Tarik Elhadd and Brian J. Lipworth. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.