Suzanne McKenna
- Molecular Biology
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Neurology top 10%
- Rehabilitation top 5%
- Co-authors
- Michael P. VitekFiona JonesSheila LennonNeal G. SimonAthena Cologer–CliffordShi‐fang LuDaniel T. LaskowitzMichael R. Hoane
- Topics
- Traumatic Brain Injury Research (5 papers)Traumatic Brain Injury and Neurovascular Disturbances (5 papers)S100 Proteins and Annexins (5 papers)
- Journals
- EndocrinologyAnnals of the New York Academy of SciencesNeuroscience & Biobehavioral Reviews
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Suzanne McKenna
20 papers receiving 911 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 269
- Epidemiology 184
- Endocrinology, Diabetes and Metabolism 182
- Neurology 161
- Rehabilitation 155
Countries citing papers authored by Suzanne McKenna
This map shows the geographic impact of Suzanne McKenna'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 Suzanne McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne McKenna more than expected).
Fields of papers citing papers by Suzanne McKenna
This network shows the impact of papers produced by Suzanne McKenna. 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 Suzanne McKenna. The network helps show where Suzanne McKenna may publish in the future.
Co-authorship network of co-authors of Suzanne McKenna
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne McKenna. A scholar is included among the top collaborators of Suzanne McKenna 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 Suzanne McKenna. Suzanne McKenna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | The Bridges Stroke Self-Management program for Stroke Survivors in the Community: Stroke, Carer and HealthProfessional Participants’ Perspectives. | 2 |
| 5 | 20 | |
| 6 | Developing and evaluating a psychosocial intervention for men with prostate cancer and their partners | 3 |
| 7 | 64 | |
| 8 | 122 | |
| 9 | 28 | |
| 10 | 47 | |
| 11 | Building Language Skills and Cultural Competencies in the Military: DOD's Challenge in Today's Educational Environment | 7 |
| 12 | 45 | |
| 13 | 83 | |
| 14 | 78 | |
| 15 | 108 | |
| 16 | 159 | |
| 17 | 84 | |
| 18 | 30 | |
| 19 | 2 | |
| 20 | 30 |
About Suzanne McKenna
Suzanne McKenna is a scholar working on Reproductive Medicine, Rehabilitation and Neurology, having authored 20 papers that have together received 933 indexed citations. Recurring topics across this work include Traumatic Brain Injury Research (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and S100 Proteins and Annexins (5 papers). The work is most often cited by research in Rehabilitation (155 citations), Behavioral Neuroscience (76 citations) and Reproductive Medicine (100 citations). Suzanne McKenna has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Michael P. Vitek, Fiona Jones, Sheila Lennon, Neal G. Simon, Athena Cologer–Clifford, Shi‐fang Lu, Daniel T. Laskowitz, Michael R. Hoane, Haichen Wang and Shan Hu. Their work appears in journals such as Endocrinology, Annals of the New York Academy of Sciences and Neuroscience & Biobehavioral Reviews.
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.