Carolyn O’Connor
- Molecular Biology top 10%
- Neurology top 0.5%
- Immunology top 5%
- Physiology top 5%
- Surgery
- Co-authors
- Conor FitzpatrickFred H. GageBaptiste N. JaegerDavid GosselinChristopher K. GlassDavid GondaRichard M. RansohoffAmy Adair
- Topics
- Single-cell and spatial transcriptomics (5 papers)Epigenetics and DNA Methylation (3 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Carolyn O’Connor
15 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.1k
- Neurology 926
- Immunology 682
- Physiology 400
- Surgery 227
Countries citing papers authored by Carolyn O’Connor
This map shows the geographic impact of Carolyn O’Connor'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 Carolyn O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolyn O’Connor more than expected).
Fields of papers citing papers by Carolyn O’Connor
This network shows the impact of papers produced by Carolyn O’Connor. 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 Carolyn O’Connor. The network helps show where Carolyn O’Connor may publish in the future.
Co-authorship network of co-authors of Carolyn O’Connor
This figure shows the co-authorship network connecting the top 25 collaborators of Carolyn O’Connor. A scholar is included among the top collaborators of Carolyn O’Connor 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 Carolyn O’Connor. Carolyn O’Connor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | The β1-adrenergic receptor links sympathetic nerves to T cell exhaustionbreakdown → | 124 |
| 4 | 6 | |
| 5 | 21 | |
| 6 | 52 | |
| 7 | Microglia use TAM receptors to detect and engulf amyloid β plaquesbreakdown → | 280 |
| 8 | Immune-evasive human islet-like organoids ameliorate diabetesbreakdown → | 253 |
| 9 | 34 | |
| 10 | 191 | |
| 11 | 101 | |
| 12 | An environment-dependent transcriptional network specifies human microglia identitybreakdown → | 795 |
| 13 | 114 | |
| 14 | 127 | |
| 15 | 278 |
About Carolyn O’Connor
Carolyn O’Connor is a scholar working on Neurology, Immunology and Molecular Biology, having authored 15 papers that have together received 2.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (926 citations), Biological Psychiatry (132 citations) and Developmental Neuroscience (162 citations). Carolyn O’Connor has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Conor Fitzpatrick, Fred H. Gage, Baptiste N. Jaeger, David Gosselin, Christopher K. Glass, David Gonda, Richard M. Ransohoff, Amy Adair, Nicole G. Coufal and Martina P. Pasillas. Their work appears in journals such as Nature, Science and Cell.
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.