Thomas Thorne

1.7k citations

28 papers · 1.1k indexed · 1 hit paper · h-index 15

Impact in

Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
Computational Theory and Mathematics top 5%
- Computational Drug Discovery Methods

Papers in ⓘ

Statistics and Probability 5
- Markov Chains and Monte Carlo Methods 3
Aging 1

Co-authors: Michael P. H. Stumpf (18 shared papers)Carsten Wiuf (3 shared papers)Eric de Silva (2 shared papers)R. J. C. Stewart (1 shared paper)Michael Lappé (1 shared paper)Paul Kirk (4 shared papers)C. Barnes (2 shared papers)Huizhi Liang (1 shared paper)
Journals: BMC Bioinformatics (3 papers)Bioinformatics (3 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)BMC Biology (1 paper)
Partner nations: United Kingdom Denmark Germany

In The Last Decade

Thomas Thorne

27 papers receiving 1.1k citations

Hit Papers

align trajectories log scale

Estimating the size of the human interactome 2008 · 563 citations

Peers

Countries citing papers authored by Thomas Thorne

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Thorne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Estimating the size of the human interactome Proceedings of the National Academy of Sciences ·Michael P. H. Stumpf, Thomas Thorne, Eric de Silva, R. J. C. Stewart, Hyeong Jun An, Michael Lappé, Carsten Wiuf Hit paper breakdown →	2008	563
2	Model selection in systems and synthetic biology Current Opinion in Biotechnology ·Paul Kirk, Thomas Thorne, Michael P. H. Stumpf	2013	80
3	The effects of incomplete protein interaction data on structural and evolutionary inferences BMC Biology ·Eric de Silva, Thomas Thorne, Piers J. Ingram, Ino Agrafioti, Jonathan Swire, Carsten Wiuf, Michael P. H. Stumpf	2006	52
4	The Evolution of the Phage Shock Protein Response System: Interplay between Protein Function, Genomic Organization, and System Function Molecular Biology and Evolution ·Maxime Huvet, Tina Toni, X. Sheng, Thomas Thorne, Goran Jovanović, Christoph Engl, Martin Buck, John W. Pinney, Michael P. H. Stumpf	2010	46
5	Evolution at the system level: the natural history of protein interaction networks Trends in Ecology & Evolution ·Michael P. H. Stumpf, W Kelly, Thomas Thorne, Carsten Wiuf	2007	38
6	Considerate approaches to constructing summary statistics for ABC model selection Statistics and Computing ·C. Barnes, Sarah Filippi, Michael P. H. Stumpf, Thomas Thorne	2012	38
7	A systems biology analysis of long and short-term memories of osmotic stress adaptation in fungi BMC Research Notes ·Tao You, Piers J. Ingram, Mette D. Jacobsen, Emily Cook, Andrew McDonagh, Thomas Thorne, Megan D. Lenardon, Alessandro PS de Moura, M. Carmen Romano, Marco Thiel, Michael P. H. Stumpf, Neil A. R. Gow, Ken Haynes, Celso Grebogi, Jaroslav Stark, Alistair J. P. Brown	2012	32
8	A Dynamic Bayesian Network Approach for Analysing Topic-Sentiment Evolution IEEE Access ·Huizhi Liang, Umarani Ganeshbabu, Thomas Thorne	2020	32
9	Lipoprotein markers associated with disability from multiple sclerosis Scientific Reports ·Arie Gafson, Thomas Thorne, Colonel Mckechnie, Beatriz Jiménez, Richard Nicholas, Paul M. Matthews	2018	27
10	Calibrating spatio-temporal models of leukocyte dynamics against in vivo live-imaging data using approximate Bayesian computation Integrative Biology ·Juliane Liepe, Harriet Taylor, C. Barnes, Maxime Huvet, Laurence Bugeon, Thomas Thorne, Jonathan R. Lamb, Margaret J. Dallman, Michael P. H. Stumpf	2012	27
11	Parameter-free model discrimination criterion based on steady-state coplanarity Proceedings of the National Academy of Sciences ·Heather A. Harrington, Kenneth L. Ho, Thomas Thorne, Michael P. H. Stumpf	2012	20
12	Graph spectral analysis of protein interaction network evolution Journal of The Royal Society Interface ·Thomas Thorne, Michael P. H. Stumpf	2012	19
13	Approximate inference of gene regulatory network models from RNA-Seq time series data BMC Bioinformatics ·Thomas Thorne	2018	15
14	Inference of temporally varying Bayesian Networks Bioinformatics ·Thomas Thorne, Michael P. H. Stumpf	2012	15
15	Breaking the cycle Neurology Neuroimmunology & Neuroinflammation ·Arie Gafson, Constantinos Savva, Thomas Thorne, Mark David, María Gómez‐Romero, Matthew R. Lewis, Richard Nicholas, Amanda Heslegrave, Henrik Zetterberg, Paul M. Matthews	2019	15
16	Generating confidence intervals on biological networks BMC Bioinformatics ·Thomas Thorne, Michael P. H. Stumpf	2007	14
17	Multi-model inference of network properties from incomplete data Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics ·Michael P. H. Stumpf, Thomas Thorne	2006	11
18	Prediction of putative protein interactions through evolutionary analysis of osmotic stress response in the model yeast Saccharomyces cerevisae Fungal Genetics and Biology ·Thomas Thorne, Hsueh-lui Ho, Maxime Huvet, Ken Haynes, Michael P. H. Stumpf	2010	8
19	NetDiff – Bayesian model selection for differential gene regulatory network inference Scientific Reports ·Thomas Thorne	2016	7
20	Graphical modelling of molecular networks underlying sporadic inclusion body myositis Molecular BioSystems ·Thomas Thorne, Pietro Fratta, Michael G. Hanna, Andrea Cortese, Vincent Plagnol, Elizabeth Fisher, Michael P. H. Stumpf	2013	6

About Thomas Thorne

Thomas Thorne is a scholar working on Statistics and Probability, Aging, Biological Psychiatry, Statistical and Nonlinear Physics and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (10 papers), Microbial Metabolic Engineering and Bioproduction (8 papers), Gene expression and cancer classification (5 papers), Complex Network Analysis Techniques (4 papers), Protein Structure and Dynamics (3 papers), Markov Chains and Monte Carlo Methods (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Molecular Biology (822 citations), Computational Theory and Mathematics (174 citations), Statistical and Nonlinear Physics (85 citations), Statistics and Probability (49 citations) and Aging (8 citations). Thomas Thorne has collaborated with scholars based in United Kingdom, Denmark and Germany. Frequent co-authors include Michael P. H. Stumpf, Carsten Wiuf, Eric de Silva, R. J. C. Stewart, Michael Lappé, Paul Kirk, C. Barnes, Huizhi Liang, Maxime Huvet and Sarah Filippi. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Scientific Reports, Proceedings of the National Academy of Sciences and BMC Biology.

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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