Karen M. O’Connor

468 total citations
8 papers, 324 citations indexed

About

Karen M. O’Connor is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Karen M. O’Connor has authored 8 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Endocrine and Autonomic Systems and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Karen M. O’Connor's work include Obstructive Sleep Apnea Research (3 papers), Gut microbiota and health (3 papers) and Neuroscience of respiration and sleep (3 papers). Karen M. O’Connor is often cited by papers focused on Obstructive Sleep Apnea Research (3 papers), Gut microbiota and health (3 papers) and Neuroscience of respiration and sleep (3 papers). Karen M. O’Connor collaborates with scholars based in Ireland and Spain. Karen M. O’Connor's co-authors include RD Stark, Ken D. O’Halloran, John F. Cryan, Eric F. Lucking, Gerard Clarke, Thomaz F. S. Bastiaanssen, David P. Burns, Fiona Fouhy, Anna V. Golubeva and Conall Strain and has published in prestigious journals such as The Journal of Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Journal of Endocrinology.

In The Last Decade

Karen M. O’Connor

8 papers receiving 311 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Karen M. O’Connor Ireland 7 128 99 99 77 40 8 324
Yuji Takauchi Japan 11 86 0.7× 75 0.8× 45 0.5× 47 0.6× 78 1.9× 25 319
Noomi Mueller United States 7 22 0.2× 80 0.8× 41 0.4× 146 1.9× 56 1.4× 9 309
Lúcia H. Kudo Brazil 12 35 0.3× 23 0.2× 242 2.4× 40 0.5× 145 3.6× 23 409
Dirk G. Snijdelaar Netherlands 11 131 1.0× 136 1.4× 35 0.4× 67 0.9× 169 4.2× 13 389
James C. Rose United States 13 35 0.3× 66 0.7× 27 0.3× 45 0.6× 144 3.6× 22 459
David Chestnut United States 7 142 1.1× 222 2.2× 26 0.3× 229 3.0× 36 0.9× 8 484
Margot A. Holmes United States 9 206 1.6× 74 0.7× 37 0.4× 36 0.5× 19 0.5× 15 430
Dominique Gauvin Canada 10 23 0.2× 62 0.6× 32 0.3× 38 0.5× 48 1.2× 16 320
Babu P. Mathew United States 10 23 0.2× 48 0.5× 70 0.7× 35 0.5× 85 2.1× 29 336
I. Macquin United Kingdom 7 88 0.7× 73 0.7× 64 0.6× 66 0.9× 27 0.7× 14 324

Countries citing papers authored by Karen M. O’Connor

Since Specialization
Citations

This map shows the geographic impact of Karen M. 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 Karen M. 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 Karen M. O’Connor more than expected).

Fields of papers citing papers by Karen M. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen M. 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 Karen M. O’Connor. The network helps show where Karen M. O’Connor may publish in the future.

Co-authorship network of co-authors of Karen M. O’Connor

This figure shows the co-authorship network connecting the top 25 collaborators of Karen M. O’Connor. A scholar is included among the top collaborators of Karen M. 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 Karen M. O’Connor. Karen M. O’Connor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Burns, David P., et al.. (2021). The role of NADPH oxidase in chronic intermittent hypoxia-induced respiratory plasticity in adult male mice. Respiratory Physiology & Neurobiology. 292. 103713–103713. 6 indexed citations
2.
O’Connor, Karen M., et al.. (2021). Targeting the Toll-like receptor pathway as a therapeutic strategy for neonatal infection. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 321(6). R879–R902. 8 indexed citations
3.
O’Connor, Karen M., Eric F. Lucking, Thomaz F. S. Bastiaanssen, et al.. (2020). Prebiotic administration modulates gut microbiota and faecal short-chain fatty acid concentrations but does not prevent chronic intermittent hypoxia-induced apnoea and hypertension in adult rats. EBioMedicine. 59. 102968–102968. 21 indexed citations
4.
O’Connor, Karen M., Eric F. Lucking, John F. Cryan, & Ken D. O’Halloran. (2020). Bugs, breathing and blood pressure: microbiota–gut–brain axis signalling in cardiorespiratory control in health and disease. The Journal of Physiology. 598(19). 4159–4179. 18 indexed citations
5.
O’Connor, Karen M., Eric F. Lucking, Anna V. Golubeva, et al.. (2019). Manipulation of gut microbiota blunts the ventilatory response to hypercapnia in adult rats. EBioMedicine. 44. 618–638. 37 indexed citations
6.
Lucking, Eric F., Karen M. O’Connor, Conall Strain, et al.. (2018). Chronic intermittent hypoxia disrupts cardiorespiratory homeostasis and gut microbiota composition in adult male guinea-pigs. EBioMedicine. 38. 191–205. 58 indexed citations
7.
Stark, RD, et al.. (1985). A review of the safety and tolerance of propofol ('Diprivan').. PubMed. 61 Suppl 3. 152–6. 151 indexed citations
8.
Wakeling, A. E., et al.. (1983). Comparison of the biological effects of tamoxifen and a new antioestrogen (LY 117018) on the immature rat uterus. Journal of Endocrinology. 99(3). 447–453. 25 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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