Martin Donnelley
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Genetics top 10%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- David ParsonsNigel FarrowKaye S. MorganKaren K. W. SiuAndreas FourasRichard C. BoucherAlexandra McCarronNathan Rout-Pitt
- Topics
- Cystic Fibrosis Research Advances (39 papers)Neonatal Respiratory Health Research (35 papers)Virus-based gene therapy research (14 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Martin Donnelley
86 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Pulmonary and Respiratory Medicine 710
- Molecular Biology 543
- Genetics 292
- Biomedical Engineering 271
- Electrical and Electronic Engineering 245
Countries citing papers authored by Martin Donnelley
This map shows the geographic impact of Martin Donnelley'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 Martin Donnelley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Donnelley more than expected).
Fields of papers citing papers by Martin Donnelley
This network shows the impact of papers produced by Martin Donnelley. 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 Martin Donnelley. The network helps show where Martin Donnelley may publish in the future.
Co-authorship network of co-authors of Martin Donnelley
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Donnelley. A scholar is included among the top collaborators of Martin Donnelley 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 Martin Donnelley. Martin Donnelley 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 30 | |
| 15 | 20 | |
| 16 | 13 | |
| 17 | 13 | |
| 18 | 12 | |
| 19 | 20 | |
| 20 | 4 |
About Martin Donnelley
Martin Donnelley is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Genetics, having authored 90 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (39 papers), Neonatal Respiratory Health Research (35 papers) and Virus-based gene therapy research (14 papers). The work is most often cited by research in Radiation (200 citations), Pulmonary and Respiratory Medicine (710 citations) and Genetics (292 citations). Martin Donnelley has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include David Parsons, Nigel Farrow, Kaye S. Morgan, Karen K. W. Siu, Andreas Fouras, Richard C. Boucher, Alexandra McCarron, Nathan Rout-Pitt, Patricia Cmielewski and Chantelle McIntyre. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.