Leanne Haggerty
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Infections and bacterial resistance
Papers in
-
- Genomics and Phylogenetic Studies 4
- Protist diversity and phylogeny 1
- Genetics 3
- Co-authors
- James O. McInerney (3 shared papers)Fergal J. Martin (5 shared papers)David A. Fitzpatrick (2 shared papers)Ricaurte Alejandro Marquez-Ortíz (2 shared papers)Toby Hunt (1 shared paper)Xiaoning Hong (1 shared paper)Qiwu Xu (1 shared paper)Christina M. Rochus (1 shared paper)
- Journals
- Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Molecular Biology and Evolution (1 paper)Nature Communications (1 paper)Genome Biology and Evolution (1 paper)Genome Research (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Leanne Haggerty
7 papers receiving 199 citations
Peers
Comparison fields: 5 of 56
- Molecular Medicine 55
- Endocrinology 35
- Applied Microbiology and Biotechnology 6
- Genetics 74
- Industrial relations 1
Countries citing papers authored by Leanne Haggerty
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
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-authors
The 25 scholars most cited alongside Leanne Haggerty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2017 | 48 | |
| 3 | 2013 | 36 | |
| 4 | 2009 | 15 | |
| 5 | 2017 | 14 | |
| 6 | 2024 | 4 | |
| 7 | 2011 | 4 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Leanne Haggerty
Leanne Haggerty is a scholar working on Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics, Ecology and Molecular Medicine, having authored 9 papers that have together received 201 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Chromosomal and Genetic Variations (2 papers), Antibiotic Resistance in Bacteria (2 papers), Plant and animal studies (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Genetic factors in colorectal cancer (1 paper), Protist diversity and phylogeny (1 paper) and Forest Insect Ecology and Management (1 paper). The work is most often cited by research in Molecular Medicine (55 citations), Endocrinology (35 citations), Applied Microbiology and Biotechnology (6 citations), Genetics (74 citations) and Industrial relations (1 citation). Leanne Haggerty has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include James O. McInerney, Fergal J. Martin, David A. Fitzpatrick, Ricaurte Alejandro Marquez-Ortíz, Toby Hunt, Xiaoning Hong, Qiwu Xu, Christina M. Rochus, Eby Sim and He Zhang. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Molecular Biology and Evolution, Nature Communications, Genome Biology and Evolution and Genome Research.
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.