Lisa Crossman

Lisa Crossman

University of East Anglia

H-index: 30

Europe-United Kingdom

About Lisa Crossman

Lisa Crossman, With an exceptional h-index of 30 and a recent h-index of 24 (since 2020), a distinguished researcher at University of East Anglia, specializes in the field of microbiology bioinformatics genomics sequencing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sticking together: Independent evolution of biofilm formation in different species of staphylococci has occurred multiple times via different pathways

Known mechanisms cannot account for a third of reduced susceptibility in non-aureus staphylococci

The ecology and antimicrobial resistance of Staphylococci colonising neonates

Microbiomes of urine and the prostate are linked to human prostate cancer risk groups

Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences

Laboratory stock variants of the archetype silver resistance plasmid pMG101 demonstrate plasmid fusion, loss of transmissibility, and transposition of Tn 7/pco/sil into the …

Known mechanisms cannot account for at least one third of reduced susceptibility in a diverse collection of non-aureusstaphylococci

Known mechanisms account for less than half of antimicrobial resistance in a diverse collection of non-aureus staphylococci

Lisa Crossman Information

University

Position

SequenceAnalysis.co.uk &

Citations(all)

8213

Citations(since 2020)

2613

Cited By

6710

hIndex(all)

30

hIndex(since 2020)

24

i10Index(all)

41

i10Index(since 2020)

32

Email

University Profile Page

University of East Anglia

Google Scholar

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Lisa Crossman Skills & Research Interests

microbiology bioinformatics genomics sequencing

Top articles of Lisa Crossman

Title

Journal

Author(s)

Publication Date

Sticking together: Independent evolution of biofilm formation in different species of staphylococci has occurred multiple times via different pathways

bioRxiv

Lisa Crossman

Leanne P Sims

Rachael Dean

Heather M Felgate

Teresa Diaz Calvo

...

2024

Known mechanisms cannot account for a third of reduced susceptibility in non-aureus staphylococci

npj Antimicrobials and Resistance

Heather Felgate

Lisa C Crossman

Elizabeth Gray

Rebecca Clifford

Annapaula Correia

...

2023/11/13

The ecology and antimicrobial resistance of Staphylococci colonising neonates

Heather Felgate

Dheeraj Sethi

Gemma Langridge

Lisa Crossman

John Wain

...

2022/5/27

Microbiomes of urine and the prostate are linked to human prostate cancer risk groups

European Urology Oncology

Rachel Hurst

Emma Meader

Abraham Gihawi

Ghanasyam Rallapalli

Jeremy Clark

...

2022/4/18

Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences

Lisa C Crossman

2021/11/15

Laboratory stock variants of the archetype silver resistance plasmid pMG101 demonstrate plasmid fusion, loss of transmissibility, and transposition of Tn 7/pco/sil into the …

Frontiers in Microbiology

Steven Hooton

Alexander CW Pritchard

Karishma Asiani

Charlotte J Gray-Hammerton

Dov J Stekel

...

2021/8/19

Known mechanisms cannot account for at least one third of reduced susceptibility in a diverse collection of non-aureusstaphylococci

H Felgate

LC Crossman

E Gray

R Clifford

J Wain

...

2021/6/22

Known mechanisms account for less than half of antimicrobial resistance in a diverse collection of non-aureus staphylococci

bioRxiv

Heather Felgate

Lisa C Crossman

Elizabeth Gray

Rebecca Clifford

Annapaula Correia

...

2021/6/22

Artificial Intelligence and deep learning turns to antibiotic discovery

Lisa Crossman

2020/7

Genome-Scale Metabolic Model Driven Design of a Defined Medium for Campylobacter jejuni M1cam

Frontiers in Microbiology

Noemi Tejera

Lisa Crossman

Bruce Pearson

Emily Stoakes

Fauzy Nasher

...

2020/6/19

Identification and characterisation of enteroaggregative Escherichia coli subtypes associated with human disease

Scientific Reports

Samuel J Ellis

Lisa C Crossman

Conor J McGrath

Marie A Chattaway

Johanna M Hölken

...

2020/5/4

Leveraging deep learning to simulate coronavirus spike proteins has the potential to predict future zoonotic sequences

bioRxiv

Lisa C Crossman

2020/4/20

Leverging Deep Learning to Simulate Coronavirus Spike proteins has the potential to predict future Zoonotic sequences (preprint)

Lisa Caroline Crossman

2020

See List of Professors in Lisa Crossman University(University of East Anglia)