Jane Hawkey

3.9k citations
51 papers · 2.4k · 1 hit paper · h-index 22

Impact in

Papers in

Jane Hawkey

49 papers receiving 2.4k citations

Jane Hawkey's Hit Papers

Trycycler: consensus long-read assemblies for bacterial genomes 2021 · 318 citations
3180+1+3Years since publication100200300

Peers

Jane Hawkey
Comparison fields: 5 of 106
  • Molecular Medicine 988
  • Endocrinology 696
  • Applied Microbiology and Biotechnology 77
  • Food Science 736
  • Clinical Biochemistry 154
Replace Minh Ngoc Nguyen with:
Minh Ngoc Nguyen Belgium
Aaron Petkau Canada
Glenn E. Tillman United States
Sushim Kumar Gupta United States
Manal AbuOun United Kingdom
Alfred Ferrer Florensa Denmark
Maria Hoffmann United States
Ohad Gal‐Mor Israel
Duy Pham Thanh Vietnam
Nicholas A. Duggett United Kingdom
Jane Hawkey relative to Minh Ngoc Nguyen Belgium Minh Ngoc Nguyen's profile →
Citations per field
00.5×5×10×13.4×
Minh Ngoc Nguyen · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015384
2
Trycycler: consensus long-read assemblies for bacterial genomes
Hit paper breakdown →
2021318
3 2016202
4 2018148
5 2016134
6 2019113
7 2015109
8 201874
9 201667
10 201663
11 202160
12 202159
13 202253
14 201352
15 201951
16 201950
17 202247
18 202141
19 202037
20 202335

About Jane Hawkey

Jane Hawkey is a scholar working on Molecular Medicine, Endocrinology, Food Science, Clinical Biochemistry and Ecology, having authored 51 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (27 papers), Salmonella and Campylobacter epidemiology (12 papers), Genomics and Phylogenetic Studies (11 papers), Escherichia coli research studies (8 papers), Bacteriophages and microbial interactions (7 papers), Vibrio bacteria research studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Plant Pathogenic Bacteria Studies (4 papers). The work is most often cited by research in Molecular Medicine (988 citations), Endocrinology (696 citations), Applied Microbiology and Biotechnology (77 citations), Food Science (736 citations) and Clinical Biochemistry (154 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 Reza Hamidian, Ben Vezina, Louise Cerdeira, Helen Billman‐Jacobe and Guillaume Méric. Their work appears in journals such as Microbial Genomics, Nature Communications, eLife, Genome biology and BMC Genomics.

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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