Ryan R. Wick

25.8k citations
68 papers · 13.4k indexed · 11 hit papers · h-index 34

Ryan R. Wick

63 papers receiving 13.3k citations

Hit Papers

Assembling the perfect...78201520262018202210002.0k3.0k4.0k5.0k

Peers

Ryan R. Wick
Comparison fields: 5 of 153
  • Molecular Medicine 5.3k
  • Endocrinology 2.9k
  • Clinical Biochemistry 1.2k
  • Applied Microbiology and Biotechnology 268
  • Ecology 3.3k
Replace Louise M. Judd with:
Louise M. Judd Australia
Scott A. Beatson Australia
Claire L. Gorrie Australia
Torsten Seemann Australia
Anton Bankevich United States
Alexander Sirotkin Russia
Andrey D. Prjibelski Russia
Dmitry Antipov Russia
Max A. Alekseyev United States
Son Pham United States
Ryan R. Wick relative to Louise M. Judd Australia Louise M. Judd's profile →
Citations per field
00.5×1.5×
Louise M. Judd · 1×
Citations per year

Countries citing papers authored by Ryan R. Wick

Since Specialization
Citations

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

Fields of papers citing papers by Ryan R. Wick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan R. Wick. 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 Ryan R. Wick. The network helps show where Ryan R. Wick may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ryan R. Wick, 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 Ryan R. Wick Line = papers co-authored together Ryan R. Wick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20250
4 20250
5 20247
6 202412
7 202423
8 202330
9 20234
10 202211
11 202038
12 201917
13 2019229
14 2018128
15 2018228
16 2018208
17 201868
18
Completing bacterial genome assemblies with multiplex MinION sequencingbreakdown →
2017567
19
Identification of Klebsiella capsule synthesis loci from whole genome databreakdown →
2016382
20
Bandage: interactive visualization of de novo genome assembliesbreakdown →
20151718

About Ryan R. Wick

Ryan R. Wick is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 68 papers that have together received 13.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (35 papers), Genomics and Phylogenetic Studies (33 papers), Plant Pathogenic Bacteria Studies (11 papers), Bacteriophages and microbial interactions (10 papers), Enterobacteriaceae and Cronobacter Research (8 papers), Microbial Community Ecology and Physiology (6 papers), Bacterial Identification and Susceptibility Testing (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Molecular Medicine (5.3k citations), Endocrinology (2.9k citations) and Clinical Biochemistry (1.2k citations). Ryan R. Wick has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kathryn E. Holt, Louise M. Judd, Claire L. Gorrie, Mark B. Schultz, Justin Zobel, Kelly L. Wyres, Margaret M. C. Lam, Adam Jenney, Louise Cerdeira and Stephen C. Watts. Their work appears in journals such as Microbial Genomics, PLoS Computational Biology, Nature Communications, Genome Medicine and Journal of Antimicrobial Chemotherapy.

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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