Leanne Haggerty

17.1k total citations
9 papers, 201 citations indexed

About

Leanne Haggerty is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Leanne Haggerty has authored 9 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Leanne Haggerty's work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Leanne Haggerty is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Leanne Haggerty collaborates with scholars based in United Kingdom, United States and Australia. Leanne Haggerty's co-authors include James O. McInerney, Fergal J. Martin, David A. Fitzpatrick, Junfeng Chen, He Zhang, Leif Andersson, Qiwu Xu, Ricaurte Alejandro Marquez-Ortíz, Han Fan and William P. Hanage and has published in prestigious journals such as Nature Communications, Philosophical Transactions of the Royal Society B Biological Sciences and Genome Research.

In The Last Decade

Leanne Haggerty

7 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leanne Haggerty United Kingdom	5	97	74	55	35	35	9	201
Pablo Catalán Spain	12	151 1.6×	127 1.7×	11 0.2×	23 0.7×	6 0.2×	24	286
Samuel H. Vohr United States	6	109 1.1×	130 1.8×	8 0.1×	54 1.5×	20 0.6×	10	225
M. Constanza Mannino Argentina	7	104 1.1×	51 0.7×	9 0.2×	30 0.9×	12 0.3×	11	271
Zulkifli Yaakub Malaysia	9	69 0.7×	32 0.4×	6 0.1×	118 3.4×	34 1.0×	25	231
Lauren Speare United States	8	102 1.1×	44 0.6×	43 0.8×	66 1.9×	160 4.6×	11	251
R. H. McCoy United States	5	30 0.3×	13 0.2×	8 0.1×	25 0.7×	20 0.6×	11	148
Bjørn Østman United States	7	152 1.6×	130 1.8×	13 0.2×	24 0.7×	7 0.2×	11	246
Claire Cormie United Kingdom	6	71 0.7×	18 0.2×	13 0.2×	43 1.2×	26 0.7×	7	146
Alejandra Doce Carracedo Spain	7	127 1.3×	5 0.1×	7 0.1×	80 2.3×	74 2.1×	10	221
Emily Williams United States	8	280 2.9×	254 3.4×	11 0.2×	78 2.2×	8 0.2×	11	426

Countries citing papers authored by Leanne Haggerty

Since Specialization

Citations

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

Fields of papers citing papers by Leanne Haggerty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leanne Haggerty. 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 Leanne Haggerty. The network helps show where Leanne Haggerty may publish in the future.

Co-authorship network of co-authors of Leanne Haggerty

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

All Works

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9 of 9 papers shown

Ren, Yan, Tong Chen, L. Zhong, et al.. (2025). Insights into natural neocentromere evolution from a cattle T2T X chromosome. Nature Communications. 16(1). 10745–10745.

Vila, Marta, Roger Vila, Ana Riesgo, et al.. (2025). ERGA-BGE genome of the Spanish moon moth Actias isabellae Graells, 1849: a nocturnal lepidopteran protected by the Habitats Directive. Open Research Europe. 5. 175–175.

Warren, Wesley C., Edward S. Rice, Alex C. Keene, et al.. (2024). Astyanax mexicanus surface and cavefish chromosome-scale assemblies for trait variation discovery. G3 Genes Genomes Genetics. 14(8). 4 indexed citations

Pettersson, Mats E., Christina M. Rochus, Han Fan, et al.. (2019). A chromosome-level assembly of the Atlantic herring genome—detection of a supergene and other signals of selection. Genome Research. 29(11). 1919–1928. 80 indexed citations

Marquez-Ortíz, Ricaurte Alejandro, Leanne Haggerty, Narda Olarte, et al.. (2017). Genomic Epidemiology of NDM-1-Encoding Plasmids in Latin American Clinical Isolates Reveals Insights into the Evolution of Multidrug Resistance. Genome Biology and Evolution. 9(6). 1725–1741. 48 indexed citations

Marquez-Ortíz, Ricaurte Alejandro, Leanne Haggerty, Eby Sim, et al.. (2017). First Complete Providencia rettgeri Genome Sequence, the NDM-1-Producing Clinical Strain RB151. Genome Announcements. 5(3). 14 indexed citations

Haggerty, Leanne, William P. Hanage, David A. Fitzpatrick, et al.. (2013). A Pluralistic Account of Homology: Adapting the Models to the Data. Molecular Biology and Evolution. 31(3). 501–516. 36 indexed citations

McInerney, James O., Carla Cummins, & Leanne Haggerty. (2011). Goods-thinking vs. tree-thinking. Mobile Genetic Elements. 1(4). 304–343. 4 indexed citations

Haggerty, Leanne, Fergal J. Martin, David A. Fitzpatrick, & James O. McInerney. (2009). Gene and genome trees conflict at many levels. Philosophical Transactions of the Royal Society B Biological Sciences. 364(1527). 2209–2219. 15 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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