Michael D. Hayward
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Endocrine and Autonomic Systems top 2%
- Physiology top 10%
- Plant Science top 10%
- Co-authors
- Malcolm J. LowRonald S. DumanJames P. MorganEric J. NestlerGraham G. MiaoRichard J. SmeyneTom CurranKarl Schilling
- Topics
- Neuropeptides and Animal Physiology (9 papers)Plant Taxonomy and Phylogenetics (6 papers)Receptor Mechanisms and Signaling (6 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Michael D. Hayward
38 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Cellular and Molecular Neuroscience 904
- Molecular Biology 902
- Endocrine and Autonomic Systems 316
- Physiology 257
- Plant Science 235
Countries citing papers authored by Michael D. Hayward
This map shows the geographic impact of Michael D. Hayward'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 Michael D. Hayward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Hayward more than expected).
Fields of papers citing papers by Michael D. Hayward
This network shows the impact of papers produced by Michael D. Hayward. 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 Michael D. Hayward. The network helps show where Michael D. Hayward may publish in the future.
Co-authorship network of co-authors of Michael D. Hayward
This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Hayward. A scholar is included among the top collaborators of Michael D. Hayward 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 Michael D. Hayward. Michael D. Hayward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 14 | |
| 3 | 24 | |
| 4 | HOW MUCH AND FOR WHOM DOES SELF-IDENTIFIED ETHNICITY CHANGE OVER TIME IN NEW ZEALAND? RESULTS FROM A LONGITUDINAL STUDY | 31 |
| 5 | 52 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 122 | |
| 10 | 6 | |
| 11 | 7 | |
| 12 | 173 | |
| 13 | 98 | |
| 14 | 110 | |
| 15 | 28 | |
| 16 | 18 | |
| 17 | 9 | |
| 18 | 205 | |
| 19 | 102 | |
| 20 | 161 |
About Michael D. Hayward
Michael D. Hayward is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (9 papers), Plant Taxonomy and Phylogenetics (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (904 citations), Endocrine and Autonomic Systems (316 citations) and Behavioral Neuroscience (156 citations). Michael D. Hayward has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Malcolm J. Low, Ronald S. Duman, James P. Morgan, Eric J. Nestler, Graham G. Miao, Richard J. Smeyne, Tom Curran, Karl Schilling, Montserrat Vendrell and Linda M. Robertson. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.
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.