Niamh C. O’Sullivan
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Neurology top 10%
- Physiology
- Co-authors
- Keith J. MurphyCahir J. O’KaneMark PickeringEvan ReidThomas R. JahnJeremy C. SimpsonPaul McGettiganJudith H. Harmey
- Topics
- Hereditary Neurological Disorders (8 papers)Endoplasmic Reticulum Stress and Disease (7 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Niamh C. O’Sullivan
20 papers receiving 581 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 270
- Cellular and Molecular Neuroscience 237
- Cell Biology 178
- Neurology 95
- Physiology 83
Countries citing papers authored by Niamh C. O’Sullivan
This map shows the geographic impact of Niamh C. O’Sullivan'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 Niamh C. O’Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niamh C. O’Sullivan more than expected).
Fields of papers citing papers by Niamh C. O’Sullivan
This network shows the impact of papers produced by Niamh C. O’Sullivan. 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 Niamh C. O’Sullivan. The network helps show where Niamh C. O’Sullivan may publish in the future.
Co-authorship network of co-authors of Niamh C. O’Sullivan
This figure shows the co-authorship network connecting the top 25 collaborators of Niamh C. O’Sullivan. A scholar is included among the top collaborators of Niamh C. O’Sullivan 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 Niamh C. O’Sullivan. Niamh C. O’Sullivan 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 | 6 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 37 | |
| 7 | Transcription Factors CREB and NF-KB: Involvement in Synaptic Plasticity and Memory Formation | 0 |
| 8 | 26 | |
| 9 | 6 | |
| 10 | 88 | |
| 11 | 7 | |
| 12 | 54 | |
| 13 | 25 | |
| 14 | 25 | |
| 15 | 55 | |
| 16 | 35 | |
| 17 | 28 | |
| 18 | 28 | |
| 19 | 31 | |
| 20 | 42 |
About Niamh C. O’Sullivan
Niamh C. O’Sullivan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Structural Biology, having authored 22 papers that have together received 581 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (237 citations), Neurology (95 citations) and Cell Biology (178 citations). Niamh C. O’Sullivan has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Keith J. Murphy, Cahir J. O’Kane, Mark Pickering, Evan Reid, Thomas R. Jahn, Jeremy C. Simpson, Paul McGettigan, Judith H. Harmey, Anderson J. Ryan and Paul Fitzpatrick. Their work appears in journals such as Journal of Neurochemistry, Human Molecular Genetics and Cerebral Cortex.
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.