Rebecca E. O’Connor

3.2k total citations
53 papers, 1.3k citations indexed

About

Rebecca E. O’Connor is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Rebecca E. O’Connor has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Genetics, 30 papers in Plant Science and 21 papers in Molecular Biology. Recurrent topics in Rebecca E. O’Connor's work include Chromosomal and Genetic Variations (28 papers), Genetic diversity and population structure (18 papers) and Genomics and Phylogenetic Studies (13 papers). Rebecca E. O’Connor is often cited by papers focused on Chromosomal and Genetic Variations (28 papers), Genetic diversity and population structure (18 papers) and Genomics and Phylogenetic Studies (13 papers). Rebecca E. O’Connor collaborates with scholars based in United Kingdom, United States and Brazil. Rebecca E. O’Connor's co-authors include Darren K. Griffin, Denis M. Larkin, Sunitha Joseph, Marta Farré, Rebecca Jennings, Michael N Romanov, Joana Damas, Dennis O. Scott, Benjamin M. Skinner and John F. Harms and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rebecca E. O’Connor

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rebecca E. O’Connor United Kingdom 21 598 528 471 208 176 53 1.3k
Steve Peigneur Belgium 32 2.7k 4.5× 1.6k 3.0× 80 0.2× 443 2.1× 477 2.7× 195 3.7k
Philip Rosenberg United States 26 1.1k 1.9× 1.1k 2.0× 99 0.2× 664 3.2× 430 2.4× 91 1.9k
Christian Legros France 22 798 1.3× 503 1.0× 144 0.3× 102 0.5× 166 0.9× 72 1.2k
Motomichi Matsuzaki Japan 20 1.1k 1.8× 55 0.1× 223 0.5× 104 0.5× 106 0.6× 52 1.7k
Jennifer M. Frost United States 21 1.1k 1.9× 516 1.0× 461 1.0× 323 1.6× 200 1.1× 38 1.7k
Daniel C. Williams United States 15 481 0.8× 80 0.2× 88 0.2× 102 0.5× 75 0.4× 24 877
Carole Fruchart‐Gaillard France 20 850 1.4× 420 0.8× 28 0.1× 77 0.4× 213 1.2× 36 1.2k
Jeffrey W. Warmke United States 17 2.8k 4.7× 139 0.3× 203 0.4× 74 0.4× 1.2k 7.1× 22 3.4k
Ji Hyeong Baek South Korea 17 339 0.6× 108 0.2× 166 0.4× 162 0.8× 111 0.6× 36 795
Kate Loughney United States 18 1.7k 2.8× 171 0.3× 198 0.4× 448 2.2× 376 2.1× 24 2.1k

Countries citing papers authored by Rebecca E. O’Connor

Since Specialization
Citations

This map shows the geographic impact of Rebecca E. 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 Rebecca E. 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 Rebecca E. O’Connor more than expected).

Fields of papers citing papers by Rebecca E. O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca E. O’Connor

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

All Works

20 of 20 papers shown
1.
Griffin, Darren K., Rafael Kretschmer, Denis M. Larkin, et al.. (2025). Avian Cytogenomics: Small Chromosomes, Long Evolutionary History. Genes. 16(9). 1001–1001. 1 indexed citations
2.
O’Connor, Rebecca E., Rafael Kretschmer, Michael N Romanov, & Darren K. Griffin. (2024). A Bird’s-Eye View of Chromosomic Evolution in the Class Aves. Cells. 13(4). 310–310. 11 indexed citations
3.
Griffin, Darren K., Rafael Kretschmer, Kornsorn Srikulnath, et al.. (2024). Insights into avian molecular cytogenetics—with reptilian comparisons. Molecular Cytogenetics. 17(1). 24–24. 3 indexed citations
4.
Kretschmer, Rafael, Ricardo José Gunski, Analía Del Valle Garnero, et al.. (2024). Understanding the chromosomal evolution in cuckoos (Aves, Cuculiformes): a journey through unusual rearrangements. Genome. 67(6). 168–177.
5.
Kretschmer, Rafael, Thales Renato Ochotorena de Freitas, Darren K. Griffin, et al.. (2024). Understanding microchromosomal organization and evolution in four representative woodpeckers (Picidae, Piciformes) through BAC-FISH analysis. Genome. 67(7). 223–232. 4 indexed citations
6.
Griffin, Darren K., et al.. (2023). A conserved karyotype? Chromosomal rearrangements in Charadrius collaris detected by BAC-FISH. PLoS ONE. 18(1). e0280164–e0280164. 1 indexed citations
7.
Griffin, Darren K., Denis M. Larkin, Rebecca E. O’Connor, & Michael N Romanov. (2022). Dinosaurs: Comparative Cytogenomics of Their Reptile Cousins and Avian Descendants. Animals. 13(1). 106–106. 1 indexed citations
8.
Gunski, Ricardo José, Analía Del Valle Garnero, Edivaldo Herculano Corrêa de Oliveira, et al.. (2022). Microchromosome BAC-FISH Reveals Different Patterns of Genome Organization in Three Charadriiformes Species. Animals. 12(21). 3052–3052. 4 indexed citations
9.
10.
Kretschmer, Rafael, Ismael Franz, Analía Del Valle Garnero, et al.. (2021). Cytogenetic Evidence Clarifies the Phylogeny of the Family Rhynchocyclidae (Aves: Passeriformes). Cells. 10(10). 2650–2650. 8 indexed citations
11.
Lewis, Nicole, et al.. (2021). Incidence, Reproductive Outcome, and Economic Impact of Reciprocal Translocations in the Domestic Pig. Kent Academic Repository (University of Kent). 1(2). 68–76. 3 indexed citations
12.
Kretschmer, Rafael, Ricardo José Gunski, Analía Del Valle Garnero, et al.. (2020). Chromosomal Analysis in Crotophaga ani (Aves, Cuculiformes) Reveals Extensive Genomic Reorganization and an Unusual Z-Autosome Robertsonian Translocation. Cells. 10(1). 4–4. 29 indexed citations
13.
Kretschmer, Rafael, Ivanete de Oliveira Furo, Ricardo José Gunski, et al.. (2020). A Comprehensive Cytogenetic Analysis of Several Members of the Family Columbidae (Aves, Columbiformes). Genes. 11(6). 632–632. 6 indexed citations
14.
Jennings, Rebecca, Darren K. Griffin, & Rebecca E. O’Connor. (2020). A New Approach for Accurate Detection of Chromosome Rearrangements That Affect Fertility in Cattle. Animals. 10(1). 114–114. 12 indexed citations
15.
O’Connor, Rebecca E., Benjamin M. Skinner, Sunitha Joseph, et al.. (2018). Patterns of microchromosome organization remain highly conserved throughout avian evolution. Chromosoma. 128(1). 21–29. 55 indexed citations
16.
O’Connor, Rebecca E., Michael N Romanov, Paul M. Barrett, et al.. (2018). Reconstruction of the diapsid ancestral genome permits chromosome evolution tracing in avian and non-avian dinosaurs. Nature Communications. 9(1). 1883–1883. 54 indexed citations
17.
18.
Stepan, Antonia F., Tuan P. Tran, Christopher J. Helal, et al.. (2018). Late-Stage Microsomal Oxidation Reduces Drug–Drug Interaction and Identifies Phosphodiesterase 2A Inhibitor PF-06815189. ACS Medicinal Chemistry Letters. 9(2). 68–72. 25 indexed citations
19.
O’Connor, Rebecca E., et al.. (2016). Development of a porcine chromosomal translocation screening device reveals errors in the pig genome assembly. Chromosome Research. 24. 1 indexed citations
20.

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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