Jeremy Swann

2.0k total citations
20 papers, 496 citations indexed

About

Jeremy Swann is a scholar working on Molecular Biology, Surgery and Infectious Diseases. According to data from OpenAlex, Jeremy Swann has authored 20 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Infectious Diseases. Recurrent topics in Jeremy Swann's work include Genomics and Phylogenetic Studies (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Bacteriophages and microbial interactions (2 papers). Jeremy Swann is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Bacteriophages and microbial interactions (2 papers). Jeremy Swann collaborates with scholars based in United Kingdom, United States and Australia. Jeremy Swann's co-authors include Derrick W. Crook, Tim Peto, Nicholas D. Sanderson, Sarah Hoosdally, A Sarah Walker, Nicole Stoesser, Nicola De Maio, Manal AbuOun, Mark Bailey and Liam P. Shaw and has published in prestigious journals such as The Lancet, Bioinformatics and Brain.

In The Last Decade

Jeremy Swann

20 papers receiving 486 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeremy Swann United Kingdom 10 239 98 83 72 70 20 496
Ryan M. Chanyi Canada 12 270 1.1× 66 0.7× 56 0.7× 31 0.4× 19 0.3× 24 502
Minny Bhatty United States 11 196 0.8× 86 0.9× 70 0.8× 87 1.2× 20 0.3× 16 462
Jaishriram Rathored France 11 171 0.7× 63 0.6× 80 1.0× 15 0.2× 45 0.6× 47 387
Jessica N. Schaffer United States 4 184 0.8× 48 0.5× 125 1.5× 119 1.7× 45 0.6× 4 431
Shin Watanabe Japan 14 177 0.7× 28 0.3× 54 0.7× 163 2.3× 33 0.5× 45 422
Ana Umpiérrez Uruguay 16 81 0.3× 90 0.9× 69 0.8× 86 1.2× 15 0.2× 34 718
Thao T. To United States 14 318 1.3× 118 1.2× 55 0.7× 19 0.3× 20 0.3× 20 636
Riccardo Valerio De Biase Italy 9 257 1.1× 61 0.6× 36 0.4× 48 0.7× 15 0.2× 15 506
Eli J. Weiss United States 13 474 2.0× 98 1.0× 91 1.1× 235 3.3× 19 0.3× 16 794
Wei‐Chao Liao Taiwan 14 205 0.9× 94 1.0× 114 1.4× 107 1.5× 10 0.1× 36 523

Countries citing papers authored by Jeremy Swann

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Swann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Swann

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Swann. A scholar is included among the top collaborators of Jeremy Swann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeremy Swann. Jeremy Swann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dingle, Kate E., Jane Freeman, Xavier Didelot, et al.. (2023). Penicillin Binding Protein Substitutions Cooccur with Fluoroquinolone Resistance in Epidemic Lineages of Multidrug-Resistant Clostridioides difficile. mBio. 14(2). e0024323–e0024323. 9 indexed citations
2.
Davies, T. J., Jeremy Swann, Anna E. Sheppard, et al.. (2023). Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on Escherichia coli. Microbial Genomics. 9(12). 3 indexed citations
3.
Hunt, Martin, Jeremy Swann, Bede Constantinides, Philip W. Fowler, & Zamin Iqbal. (2022). ReadItAndKeep: rapid decontamination of SARS-CoV-2 sequencing reads. Bioinformatics. 38(12). 3291–3293. 4 indexed citations
4.
Lumley, Sheila, Bede Constantinides, Nicholas Sanderson, et al.. (2021). Epidemiological data and genome sequencing reveals that nosocomial transmission of SARS-CoV-2 is underestimated and mostly mediated by a small number of highly infectious individuals. Journal of Infection. 83(4). 473–482. 40 indexed citations
5.
6.
Lipworth, Samuel, Hayleah Pickford, Nicholas D. Sanderson, et al.. (2020). Optimized use of Oxford Nanopore flowcells for hybrid assemblies. Microbial Genomics. 6(11). 14 indexed citations
7.
Sanderson, Nicholas D., Jeremy Swann, Leanne Barker, et al.. (2020). High precision Neisseria gonorrhoeae variant and antimicrobial resistance calling from metagenomic Nanopore sequencing. Genome Research. 30(9). 1354–1363. 22 indexed citations
8.
Maio, Nicola De, Liam P. Shaw, Alasdair T. M. Hubbard, et al.. (2019). Comparison of long-read sequencing technologies in the hybrid assembly of complex bacterial genomes. Microbial Genomics. 5(9). 157 indexed citations
9.
Yang-Turner, Fan, Denis Volk, Philip W. Fowler, et al.. (2019). Scalable Pathogen Pipeline Platform (SP^3): Enabling Unified Genomic Data Analysis with Elastic Cloud Computing. ORCA Online Research @Cardiff (Cardiff University). 9. 478–480. 1 indexed citations
10.
Gweon, Hyun S., Liam P. Shaw, Jeremy Swann, et al.. (2019). The impact of sequencing depth on the inferred taxonomic composition and AMR gene content of metagenomic samples. Environmental Microbiome. 14(1). 7–7. 68 indexed citations
11.
Sanderson, Nicholas D., Dona Foster, Jeremy Swann, et al.. (2018). Real-time analysis of nanopore-based metagenomic sequencing from infected orthopaedic devices. BMC Genomics. 19(1). 714–714. 92 indexed citations
12.
Yang-Turner, Fan, Jeremy Swann, Dona Foster, et al.. (2018). An Open-Source Azure Solution for Scalable Genomics Workflows. Oxford University Research Archive (ORA) (University of Oxford). 18. 39–40. 2 indexed citations
13.
Warntjes, Marcel, Jeremy Swann, Petter Dyverfeldt, et al.. (2016). Quantitative fat and R2* mapping in vivo to measure lipid‐rich necrotic core and intraplaque hemorrhage in carotid atherosclerosis. Magnetic Resonance in Medicine. 78(1). 285–296. 8 indexed citations
14.
Ravasco, Paula, et al.. (2015). MON-LB027: Watercress in Breast Cancer Patients Undergoing Radiotherapy: Relevance in DNA Damage of Dermatitis?. Clinical Nutrition. 34. S260–S261. 4 indexed citations
15.
Ravasco, Paula, et al.. (2015). MON-LB019: Does Watercress Influence Phase Angle in Breast Cancer Patients During Radiotherapy?. Clinical Nutrition. 34. S257–S257. 3 indexed citations
16.
Croaker, David, et al.. (2012). 722 Heterogeneity in the Diagnosis of Coeliac Disease in Paediatric Patients. Archives of Disease in Childhood. 97(Suppl 2). A208–A208. 2 indexed citations
17.
Bourke, J B, Jeremy Swann, Christopher L. Brown, & H D Ritchie. (1972). EXOCRINE PANCREATIC FUNCTION STUDIES, DUODENAL CYTOLOGY, AND HYPOTONIC DUODENOGRAPHY IN THE DIAGNOSIS OF SURGICAL JAUNDICE. The Lancet. 299(7751). 605–608. 12 indexed citations
18.
Fry, Lionel & Jeremy Swann. (1968). GASTROCAMERA STUDIES IN ROSACEA. British Journal of Dermatology. 80(11). 737–739. 5 indexed citations
19.
Swann, Jeremy, et al.. (1967). CORPUS CAVERNOSOGRAPHY IN PEYRONIE'S DISEASE. British Journal of Urology. 39(4). 409–414. 11 indexed citations
20.
Hughes, David T., et al.. (1965). ABNORMALITIES IN SWALLOWING ASSOCIATED WITH DYSTROPHIA MYOTONICA. Brain. 88(5). 1037–1042. 25 indexed citations

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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