Mark Pogson

Mark Pogson

University of Liverpool

H-index: 20

Europe-United Kingdom

About Mark Pogson

Mark Pogson, With an exceptional h-index of 20 and a recent h-index of 15 (since 2020), a distinguished researcher at University of Liverpool,

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

A stochastic model for topographically influenced cell migration

Agent-based modeling of diversity, new information and minority groups in opinion formation

People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training

Muscle of obese insulin-resistant humans exhibits losses in proteostasis and attenuated proteome dynamics that are improved by exercise training

A neural network method to predict task-and step-specific ground reaction force magnitudes from trunk accelerations during running activities

PopFor: A new model for estimating poplar yields

Mark Pogson Information

University

Position

___

Citations(all)

1234

Citations(since 2020)

611

Cited By

930

hIndex(all)

20

hIndex(since 2020)

15

i10Index(all)

28

i10Index(since 2020)

22

Email

University Profile Page

University of Liverpool

Google Scholar

View Google Scholar Profile

Top articles of Mark Pogson

Title

Journal

Author(s)

Publication Date

A stochastic model for topographically influenced cell migration

Journal of theoretical biology

AJ Mitchinson

M Pogson

G Czanner

D Conway

RR Wilkinson

...

2024/3/21

Agent-based modeling of diversity, new information and minority groups in opinion formation

Computational Communication Research

Mark Pogson

Tom Nicholls

2024

People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training

Proteomics

Kanchana Srisawat

Connor A Stead

Katie Hesketh

Mark Pogson

Juliette A Strauss

...

2023/11/14

Muscle of obese insulin-resistant humans exhibits losses in proteostasis and attenuated proteome dynamics that are improved by exercise training

bioRxiv

Kanchana Srisawat

Connor A Stead

Katie Hesketh

Mark Pogson

Juliette A Strauss

...

2023/3/20

A neural network method to predict task-and step-specific ground reaction force magnitudes from trunk accelerations during running activities

Medical Engineering & Physics

Mark Pogson

Jasper Verheul

Mark A Robinson

Jos Vanrenterghem

Paulo Lisboa

2020/4/1

PopFor: A new model for estimating poplar yields

Biomass and bioenergy

Dagmar N Henner

Astley Hastings

Mark Pogson

Niall P McNamara

Christian A Davies

...

2020/3/1

See List of Professors in Mark Pogson University(University of Liverpool)

Co-Authors

H-index: 80
Atte Moilanen

Atte Moilanen

Helsingin yliopisto

H-index: 40
Tuuli Toivonen

Tuuli Toivonen

Helsingin yliopisto

H-index: 38
Giorgio Alberti

Giorgio Alberti

Università degli Studi di Udine

H-index: 38
Trevor Cox

Trevor Cox

University of Salford

H-index: 29
Andrea Santangeli

Andrea Santangeli

Helsingin yliopisto

H-index: 23
Mohamed Abdalla

Mohamed Abdalla

University of Aberdeen

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