Carolyn O’Connor

6.5k total citations · 4 hit papers
15 papers, 2.4k citations indexed

About

Carolyn O’Connor is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Carolyn O’Connor has authored 15 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Neurology. Recurrent topics in Carolyn O’Connor's work include Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Carolyn O’Connor is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Carolyn O’Connor collaborates with scholars based in United States, Netherlands and Switzerland. Carolyn O’Connor's 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 and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Carolyn O’Connor

15 papers receiving 2.4k citations

Hit Papers

An environment-dependent transcriptional network specifie... 2017 2026 2020 2023 2017 2021 2020 2023 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An environment-dependent transcriptional network specifies human microglia identity
    2017 795 citations David Gosselin, Dylan Skola et al. Science profile →
  2. Microglia use TAM receptors to detect and engulf amyloid β plaques
    2021 280 citations Youtong Huang, Kaisa E. Happonen et al. Nature Immunology profile →
  3. Immune-evasive human islet-like organoids ameliorate diabetes
    2020 253 citations Eiji Yoshihara, Carolyn O’Connor et al. Nature profile →
  4. The β1-adrenergic receptor links sympathetic nerves to T cell exhaustion
    2023 124 citations Anna-Maria Globig, Steven Zhao et al. Nature profile →

Peers

Carolyn O’Connor
Nicholas E. Propson United States
Brad A. Friedman United States
David Gosselin Canada
Kenneth S. Shindler United States
Baptiste N. Jaeger United States
Alban Gaultier United States
Derviş A. Salih United Kingdom
Ron Cialic United States
Yoshinobu Sugitani Japan
Noel G. Carlson United States
Nicholas E. Propson United States
Carolyn O’Connor
Citations per year, relative to Carolyn O’Connor Carolyn O’Connor (= 1×) peers Nicholas E. Propson

Countries citing papers authored by Carolyn O’Connor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

15 of 15 papers shown
1.
Donaldson, Cynthia J., Joan Vaughan, Carolyn O’Connor, et al.. (2025). CRISPR–Cas9 screening reveals microproteins regulating adipocyte proliferation and lipid metabolism. Proceedings of the National Academy of Sciences. 122(32). e2506534122–e2506534122. 3 indexed citations
2.
Chien, Jo-fan, Hanqing Liu, Bang-An Wang, et al.. (2024). Cell-type-specific effects of age and sex on human cortical neurons. Neuron. 112(15). 2524–2539.e5. 15 indexed citations
3.
Globig, Anna-Maria, Steven Zhao, Vivien I. Maltez, et al.. (2023). The β1-adrenergic receptor links sympathetic nerves to T cell exhaustion. Nature. 622(7982). 383–392. 124 indexed citations breakdown →
4.
Chen, Hsiuyi V., et al.. (2023). Deletion mapping of regulatory elements for GATA3 in T cells reveals a distal enhancer involved in allergic diseases. The American Journal of Human Genetics. 110(4). 703–714. 6 indexed citations
5.
McDonald, Bryan, Brent Chick, Nasiha S. Ahmed, et al.. (2023). Canonical BAF complex activity shapes the enhancer landscape that licenses CD8+ T cell effector and memory fates. Immunity. 56(6). 1303–1319.e5. 21 indexed citations
6.
Procko, Carl, Travis Lee, Bastiaan O. R. Bargmann, et al.. (2022). Leaf cell-specific and single-cell transcriptional profiling reveals a role for the palisade layer in UV light protection. The Plant Cell. 34(9). 3261–3279. 52 indexed citations
7.
Huang, Youtong, Kaisa E. Happonen, Patrick Burrola, et al.. (2021). Microglia use TAM receptors to detect and engulf amyloid β plaques. Nature Immunology. 22(5). 586–594. 280 indexed citations breakdown →
8.
Yoshihara, Eiji, Carolyn O’Connor, Emanuel Gasser, et al.. (2020). Immune-evasive human islet-like organoids ameliorate diabetes. Nature. 586(7830). 606–611. 253 indexed citations breakdown →
9.
DelGiorno, Kathleen E., Linjing Fang, Chi‐Yeh Chung, et al.. (2020). Tuft Cell Formation Reflects Epithelial Plasticity in Pancreatic Injury: Implications for Modeling Human Pancreatitis. Frontiers in Physiology. 11. 88–88. 34 indexed citations
10.
Lee, Dong-Sung, Chongyuan Luo, Jingtian Zhou, et al.. (2019). Simultaneous profiling of 3D genome structure and DNA methylation in single human cells. Nature Methods. 16(10). 999–1006. 191 indexed citations
11.
Luo, Chongyuan, Angeline Rivkin, Jingtian Zhou, et al.. (2018). Robust single-cell DNA methylome profiling with snmC-seq2. Nature Communications. 9(1). 3824–3824. 101 indexed citations
12.
Gosselin, David, Dylan Skola, Nicole G. Coufal, et al.. (2017). An environment-dependent transcriptional network specifies human microglia identity. Science. 356(6344). 795 indexed citations breakdown →
13.
Wu, Min-Zu, Wei‐Chung Cheng, Su-Feng Chen, et al.. (2017). miR-25/93 mediates hypoxia-induced immunosuppression by repressing cGAS. Nature Cell Biology. 19(10). 1286–1296. 114 indexed citations
14.
Rao, Sheila, et al.. (2017). Pathogen-Mediated Inhibition of Anorexia Promotes Host Survival and Transmission. Cell. 168(3). 503–516.e12. 127 indexed citations
15.
Lacar, Benjamin, Sara B. Linker, Baptiste N. Jaeger, et al.. (2016). Nuclear RNA-seq of single neurons reveals molecular signatures of activation. Nature Communications. 7(1). 11022–11022. 278 indexed citations

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.

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