Kate M. O’Neill

32 total papers · 839 total citations
11 papers, 497 citations indexed

About

Kate M. O’Neill is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Kate M. O’Neill has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Kate M. O’Neill's work include Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (3 papers) and Cellular Mechanics and Interactions (3 papers). Kate M. O’Neill is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (3 papers) and Cellular Mechanics and Interactions (3 papers). Kate M. O’Neill collaborates with scholars based in United States, China and Lithuania. Kate M. O’Neill's co-authors include Martin L. Yarmush, Christopher J. Lowe, Rene Schloss, Alison Acevedo, Ileana Marrero-Berríos, Misaal Patel, Z. Fritz, Max L. Balter, Clara Hartmanshenn and Ioannis P. Androulakis and has published in prestigious journals such as Cellular and Molecular Life Sciences, Molecular Biology of the Cell and Lab on a Chip.

In The Last Decade

Kate M. O’Neill

11 papers receiving 490 citations

Hit Papers

The growing role of preci... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kate M. O’Neill 200 114 86 63 56 11 497
Misaal Patel 216 1.1× 122 1.1× 92 1.1× 47 0.7× 119 2.1× 15 588
Anette Magnussen 338 1.7× 88 0.8× 95 1.1× 44 0.7× 54 1.0× 11 557
Andreas R. Baudy 341 1.7× 90 0.8× 134 1.6× 42 0.7× 88 1.6× 12 524
Jeong Heon Lee 246 1.2× 68 0.6× 66 0.8× 80 1.3× 93 1.7× 21 545
Chloe J. Peach 358 1.8× 89 0.8× 83 1.0× 97 1.5× 21 0.4× 15 593
Marianne O. Stefanini 357 1.8× 109 1.0× 96 1.1× 31 0.5× 29 0.5× 10 532
Valérie Thibert 328 1.6× 69 0.6× 109 1.3× 31 0.5× 39 0.7× 13 612
Shih-Hwa Chiou 273 1.4× 95 0.8× 58 0.7× 49 0.8× 32 0.6× 18 447
Tércia Alves 246 1.2× 66 0.6× 83 1.0× 32 0.5× 36 0.6× 10 468
K. Garber 311 1.6× 156 1.4× 144 1.7× 24 0.4× 27 0.5× 16 521

Countries citing papers authored by Kate M. O’Neill

Since Specialization
Citations

This map shows the geographic impact of Kate M. O’Neill'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 Kate M. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate M. O’Neill more than expected).

Fields of papers citing papers by Kate M. O’Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate M. O’Neill

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

All Works

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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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