Julian Parkhill

150.3k citations
570 papers · 57.6k · 26 hit papers · h-index 117

Impact in

Papers in

Julian Parkhill

563 papers receiving 56.9k citations

Julian Parkhill's Hit Papers

A decade of advances in transposon-insertion sequencing 2020 · 262 citations
2620+4+9Years since publication10002.0k3.0k

Peers

Julian Parkhill
Comparison fields: 5 of 205
  • Endocrinology 8.0k
  • Molecular Medicine 6.8k
  • Microbiology 5.5k
  • Infectious Diseases 15.2k
  • Clinical Biochemistry 3.7k
Replace Didier Raoult with:
Didier Raoult France
Frank M. Aarestrup Denmark
Gordon Dougan United Kingdom
Ole Lund Denmark
Brian G. Spratt United Kingdom
Martin Maiden United Kingdom
Barbara E. Murray United States
Stanley Falkow United States
Hiroshi Nikaido United States
Freddy Haesebrouck Belgium
Julian Parkhill relative to Didier Raoult France Didier Raoult's profile →
Citations per field
00.5×1.7×
Didier Raoult · 1×
Citations per year

Countries citing papers authored by Julian Parkhill

Since Specialization
Citations

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

Fields of papers citing papers by Julian Parkhill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 570 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Roary: rapid large-scale prokaryote pan genome analysis
Hit paper breakdown →
20153789
2
Artemis: sequence visualization and annotation
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20002530
3
Reagent and laboratory contamination can critically impact sequence-based microbiome analyses
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20142303
4
Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins
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20141734
5
ACT: the Artemis comparison tool
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20051283
6
Dominant and diet-responsive groups of bacteria within the human colonic microbiota
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20101253
7
Artemis: an integrated platform for visualization and analysis of high-throughput sequence-based experimental data
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2011899
8
Evolution of MRSA During Hospital Transmission and Intercontinental Spread
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2010824
9
Salmonella enterica Serovar Typhimurium Exploits Inflammation to Compete with the Intestinal Microbiota
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2007824
10
Circlator: automated circularization of genome assemblies using long sequencing reads
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2015747
11
DNAPlotter: circular and linear interactive genome visualization
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2008714
12
Whole-genome sequencing to delineate Mycobacterium tuberculosis outbreaks: a retrospective observational study
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2012655
13
Producing polished prokaryotic pangenomes with the Panaroo pipeline
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2020653
14
Genetic Analysis of the Capsular Biosynthetic Locus from All 90 Pneumococcal Serotypes
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2006571
15
High-throughput clone library analysis of the mucosa-associated microbiota reveals dysbiosis and differences between inflamed and non-inflamed regions of the intestine in inflammatory bowel disease
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2011565
16
Whole-genome sequencing to identify transmission of Mycobacterium abscessus between patients with cystic fibrosis: a retrospective cohort study
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2013485
17
Simultaneous assay of every Salmonella Typhi gene using one million transposon mutants
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2009480
18
Human placenta has no microbiome but can contain potential pathogens
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2019479
19
Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak
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2012470
20
Artemis and ACT: viewing, annotating and comparing sequences stored in a relational database
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2008467

About Julian Parkhill

Julian Parkhill is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Food Science and Endocrinology, having authored 570 papers that have together received 57.6k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (91 papers), Genomics and Phylogenetic Studies (80 papers), Antibiotic Resistance in Bacteria (65 papers), Salmonella and Campylobacter epidemiology (63 papers), Bacteriophages and microbial interactions (57 papers), Bacterial Identification and Susceptibility Testing (55 papers), Mycobacterium research and diagnosis (54 papers) and Tuberculosis Research and Epidemiology (52 papers). The work is most often cited by research in Endocrinology (8.0k citations), Molecular Medicine (6.8k citations), Microbiology (5.5k citations), Infectious Diseases (15.2k citations) and Clinical Biochemistry (3.7k citations). Julian Parkhill has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stephen D. Bentley, Simon R. Harris, Matthew T. G. Holden, Alan W. Walker, Jacqueline A. Keane, Sharon J. Peacock, Andrew J. Page, Marie‐Adèle Rajandream, Matthew Berriman and Tim Carver. Their work appears in journals such as Microbial Genomics, Journal of Bacteriology, BMC Genomics, mBio 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.

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