Michael P. Geaghan
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 6
- Circular RNAs in diseases 3
-
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 3
- Co-authors
- Murray J. Cairns (15 shared papers)Joshua Atkins (5 shared papers)William R. Reay (7 shared papers)Melissa J. Green (4 shared papers)Dylan Kiltschewskij (5 shared papers)Vaughan J. Carr (4 shared papers)Ebrahim Mahmoudi (3 shared papers)Cynthia Shannon Weickert (1 shared paper)
- Journals
- Biological Psychiatry (2 papers)Neuropsychopharmacology (2 papers)Science Advances (2 papers)eLife (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Michael P. Geaghan
15 papers receiving 396 citations
Peers
Comparison fields: 5 of 62
- Biological Psychiatry 47
- Cancer Research 139
- Behavioral Neuroscience 19
- Developmental Neuroscience 19
- Genetics 87
Countries citing papers authored by Michael P. Geaghan
This map shows the geographic impact of Michael P. Geaghan'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 P. Geaghan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Geaghan more than expected).
Fields of papers citing papers by Michael P. Geaghan
This network shows the impact of papers produced by Michael P. Geaghan. 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 P. Geaghan. The network helps show where Michael P. Geaghan may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael P. Geaghan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 151 | |
| 2 | 2022 | 65 | |
| 3 | 2019 | 59 | |
| 4 | 2023 | 24 | |
| 5 | 2019 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2026 | 0 |
About Michael P. Geaghan
Michael P. Geaghan is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Clinical Psychology, having authored 16 papers that have together received 398 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), RNA Research and Splicing (6 papers), Genetic Associations and Epidemiology (4 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Tryptophan and brain disorders (2 papers), Reproductive System and Pregnancy (2 papers) and Eating Disorders and Behaviors (2 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Cancer Research (139 citations), Behavioral Neuroscience (19 citations), Developmental Neuroscience (19 citations) and Genetics (87 citations). Michael P. Geaghan has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Murray J. Cairns, Joshua Atkins, William R. Reay, Melissa J. Green, Dylan Kiltschewskij, Vaughan J. Carr, Ebrahim Mahmoudi, Cynthia Shannon Weickert, Xi Wang and Chantel Fitzsimmons. Their work appears in journals such as Biological Psychiatry, Neuropsychopharmacology, Science Advances, eLife and International Journal of Molecular Sciences.
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.