Jane Hawkey

3.8k citations
41 papers · 1.6k · 1 hit paper · h-index 20

Impact in

Papers in

Jane Hawkey

41 papers receiving 1.6k citations

Jane Hawkey's Hit Papers

Trycycler: consensus long-read assemblies for bacterial genomes 2021 · 284 citations
2840+1+3Years since publication50100150200250

Peers

Jane Hawkey
Comparison fields: 5 of 92
  • Molecular Medicine 735
  • Endocrinology 399
  • Applied Microbiology and Biotechnology 48
  • Clinical Biochemistry 115
  • Food Science 264
Replace Maria Hoffmann with:
Maria Hoffmann United States
Oliver Schwengers Germany
Philip T. L. C. Clausen Denmark
Ji Yang Australia
Mustafa Simmons United States
Julie Haendiges United States
Christine J. Boinett United Kingdom
Astrid Pérez Spain
Ricardo León‐Sampedro Spain
Piklu Roy Chowdhury Australia
Jane Hawkey relative to Maria Hoffmann United States Maria Hoffmann's profile →
Citations per field
00.5×1.5×1.9×
Maria Hoffmann · 1×
Citations per year

Countries citing papers authored by Jane Hawkey

Since Specialization
Citations

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

Fields of papers citing papers by Jane Hawkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Hawkey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Hawkey Line = papers co-authored together Jane Hawkey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Trycycler: consensus long-read assemblies for bacterial genomes
Hit paper breakdown →
2021284
2 2016180
3 2018129
4 2015103
5 201990
6 201870
7 201664
8 202152
9 202251
10 201349
11 201949
12 201948
13 202146
14 202244
15 202140
16 202035
17 201531
18 202326
19 202224
20 201520

About Jane Hawkey

Jane Hawkey is a scholar working on Molecular Medicine, Molecular Biology, Genetics, Endocrinology and Ecology, having authored 41 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Genomics and Phylogenetic Studies (11 papers), Salmonella and Campylobacter epidemiology (6 papers), Bacteriophages and microbial interactions (6 papers), Evolution and Genetic Dynamics (4 papers), Escherichia coli research studies (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Molecular Medicine (735 citations), Endocrinology (399 citations), Applied Microbiology and Biotechnology (48 citations), Clinical Biochemistry (115 citations) and Food Science (264 citations). Jane Hawkey has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kathryn E. Holt, Ryan R. Wick, Louise M. Judd, Kelly L. Wyres, David Edwards, Mohammad Hamidian, Ben Vezina, Louise Cerdeira, Helen Billman‐Jacobe and Ruth M. Hall. Their work appears in journals such as Microbial Genomics, Nature Communications, Genome biology, BMC Genomics and BMC Infectious Diseases.

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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