Philipp Thomas

Philipp Thomas

Imperial College London

H-index: 24

Europe-United Kingdom

About Philipp Thomas

Philipp Thomas, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Stochastic Processes, Mathematical Biology, Theoretical Physics.

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

Noise-induced survival resonances during fractional killing of cell populations

Feedback between stochastic gene networks and population dynamics enables cellular decision making

Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA-sequencing

Modelling capture efficiency of single cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics

Patterns of interdivision time correlations reveal hidden cell cycle factors

Stationary distributions of continuous-time Markov chains: a review of theory and truncation-based approximations

Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations

Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces

Philipp Thomas Information

University

Position

Department of Mathematics

Citations(all)

1754

Citations(since 2020)

1119

Cited By

1142

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

30

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Philipp Thomas Skills & Research Interests

Stochastic Processes

Mathematical Biology

Theoretical Physics

Top articles of Philipp Thomas

Noise-induced survival resonances during fractional killing of cell populations

arXiv preprint arXiv:2402.19045

2024/2/29

Johannes Pausch
Johannes Pausch

H-Index: 4

Philipp Thomas
Philipp Thomas

H-Index: 20

Feedback between stochastic gene networks and population dynamics enables cellular decision making

bioRxiv

2023

Philipp Thomas
Philipp Thomas

H-Index: 20

Global transcription regulation revealed from dynamical correlations in time-resolved single-cell RNA-sequencing

bioRxiv

2023

Vahid Shahrezaei
Vahid Shahrezaei

H-Index: 17

Philipp Thomas
Philipp Thomas

H-Index: 20

Modelling capture efficiency of single cell RNA-sequencing data improves inference of transcriptome-wide burst kinetics

Bioinformatics

2023/7/1

Patterns of interdivision time correlations reveal hidden cell cycle factors

Elife

2022/11/15

Alexis Barr
Alexis Barr

H-Index: 14

Philipp Thomas
Philipp Thomas

H-Index: 20

Stationary distributions of continuous-time Markov chains: a review of theory and truncation-based approximations

2021/2/4

Coordination of gene expression noise with cell size: analytical results for agent-based models of growing cell populations

Journal of the Royal Society Interface

2021/5/26

Philipp Thomas
Philipp Thomas

H-Index: 20

Vahid Shahrezaei
Vahid Shahrezaei

H-Index: 17

Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces

SIAM Journal on Optimization

2021/2/18

Computation of single-cell metabolite distributions using mixture models

Frontiers in Cell and Developmental Biology

2020/12/22

Philipp Thomas
Philipp Thomas

H-Index: 20

Mauricio Barahona
Mauricio Barahona

H-Index: 33

bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data

Bioinformatics

2020/2/15

Stochastic modelling approaches for single-cell analyses

2020

Philipp Thomas
Philipp Thomas

H-Index: 20

See List of Professors in Philipp Thomas University(Imperial College London)

Co-Authors

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