Edward J. McKenna
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Pollution top 10%
- Physiology
- Co-authors
- Arnold SchwartzPál L. VághyAlan H. SharpKevin P. CampbellRobert BrennerAnna HuiMark E. WilliamsAlbert Leung
- Topics
- Ion channel regulation and function (17 papers)Economic Theory and Institutions (10 papers)Economic Theory and Policy (9 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Edward J. McKenna
39 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 627
- Cardiology and Cardiovascular Medicine 571
- Pollution 82
- Physiology 79
Countries citing papers authored by Edward J. McKenna
This map shows the geographic impact of Edward J. 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 Edward J. McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. McKenna more than expected).
Fields of papers citing papers by Edward J. McKenna
This network shows the impact of papers produced by Edward J. 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 Edward J. McKenna. The network helps show where Edward J. McKenna may publish in the future.
Co-authorship network of co-authors of Edward J. McKenna
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. McKenna. A scholar is included among the top collaborators of Edward J. 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 Edward J. McKenna. Edward J. 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 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 99 | |
| 5 | 22 | |
| 6 | 211 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 43 | |
| 11 | 32 | |
| 12 | 61 | |
| 13 | The Relation between the Rate of Interest and Investment in Post- Keynesian and Neo-Ricardian Analysis | 3 |
| 14 | 31 | |
| 15 | 23 | |
| 16 | 12 | |
| 17 | 49 | |
| 18 | 38 | |
| 19 | The Ministry of Musicians | 0 |
| 20 | 23 |
About Edward J. McKenna
Edward J. McKenna is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (17 papers), Economic Theory and Institutions (10 papers) and Economic Theory and Policy (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (627 citations), Cardiology and Cardiovascular Medicine (571 citations) and Molecular Biology (1.3k citations). Edward J. McKenna has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Arnold Schwartz, Pál L. Vághy, Alan H. Sharp, Kevin P. Campbell, Robert Brenner, Anna Hui, Mark E. Williams, Albert Leung, S.B. Ellis and Michael M. Harpold. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.