Michael P. H. Stumpf

16.5k total citations · 3 hit papers
193 papers, 9.2k citations indexed

About

Michael P. H. Stumpf is a scholar working on Molecular Biology, Genetics and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael P. H. Stumpf has authored 193 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Molecular Biology, 39 papers in Genetics and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael P. H. Stumpf's work include Gene Regulatory Network Analysis (73 papers), Bioinformatics and Genomic Networks (41 papers) and Microbial Metabolic Engineering and Bioproduction (29 papers). Michael P. H. Stumpf is often cited by papers focused on Gene Regulatory Network Analysis (73 papers), Bioinformatics and Genomic Networks (41 papers) and Microbial Metabolic Engineering and Bioproduction (29 papers). Michael P. H. Stumpf collaborates with scholars based in United Kingdom, Australia and United States. Michael P. H. Stumpf's co-authors include Tina Toni, Carsten Wiuf, Ann C. Babtie, Paul Kirk, Mason A. Porter, Thomas Thorne, David Welch, Andreas Ipsen, Natalja Strelkowa and Eric de Silva and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Michael P. H. Stumpf

188 papers receiving 9.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems

2008 900 citations Michael P. H. Stumpf et al. profile →
Estimating the size of the human interactome

2008 563 citations Michael P. H. Stumpf, Thomas Thorne et al. Proceedings of the National Academy of Sciences profile →
Critical Truths About Power Laws

2012 381 citations Michael P. H. Stumpf et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael P. H. Stumpf United Kingdom	47	5.2k	1.5k	839	738	609	193	9.2k
Naama Barkai Israel	52	12.4k 2.4×	2.2k 1.4×	1.3k 1.6×	483 0.7×	237 0.4×	157	14.7k
Jean‐Philippe Vert France	48	6.0k 1.2×	819 0.5×	1.7k 2.0×	191 0.3×	384 0.6×	120	9.6k
Marcus A. Brubaker Canada	19	4.1k 0.8×	785 0.5×	980 1.2×	147 0.2×	417 0.7×	52	11.7k
Carsten Wiuf Denmark	41	4.6k 0.9×	1.8k 1.1×	344 0.4×	429 0.6×	145 0.2×	147	7.2k
Eytan Domany Israel	68	8.2k 1.6×	974 0.6×	1.2k 1.4×	1.6k 2.1×	716 1.2×	275	17.0k
Tamás Nepusz United Kingdom	21	3.2k 0.6×	643 0.4×	658 0.8×	1.3k 1.8×	198 0.3×	45	10.6k
Bonnie Berger United States	63	9.3k 1.8×	2.5k 1.6×	1.3k 1.5×	239 0.3×	787 1.3×	268	14.9k
Daniel T. Gillespie United States	34	11.3k 2.2×	3.5k 2.3×	571 0.7×	3.0k 4.1×	219 0.4×	78	19.0k
Gustavo Stolovitzky United States	50	8.2k 1.6×	716 0.5×	572 0.7×	419 0.6×	1.2k 1.9×	160	12.6k
Sandrine Dudoit United States	50	11.4k 2.2×	1.6k 1.0×	1.7k 2.0×	122 0.2×	1.4k 2.4×	99	17.4k

Countries citing papers authored by Michael P. H. Stumpf

Since Specialization

Citations

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

Fields of papers citing papers by Michael P. H. Stumpf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael P. H. Stumpf. 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 Michael P. H. Stumpf. The network helps show where Michael P. H. Stumpf may publish in the future.

Co-authorship network of co-authors of Michael P. H. Stumpf

This figure shows the co-authorship network connecting the top 25 collaborators of Michael P. H. Stumpf. A scholar is included among the top collaborators of Michael P. H. Stumpf 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 Michael P. H. Stumpf. Michael P. H. Stumpf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

David, Alessia, et al.. (2025). The topological properties of the protein universe. Nature Communications. 16(1). 7503–7503.

Forrest, Joshua B., Vijay Rajagopal, Michael P. H. Stumpf, & Michael Pan. (2023). BondGraphs.jl: composable energy-based modelling in systems biology. Bioinformatics. 39(10). 3 indexed citations

Cuartero, Sergi, Adrià Cañellas‐Socias, Sarah Wells, et al.. (2022). Cohesin couples transcriptional bursting probabilities of inducible enhancers and promoters. Nature Communications. 13(1). 4342–4342. 20 indexed citations

Stadler, Tanja, Oliver G. Pybus, & Michael P. H. Stumpf. (2021). Phylodynamics for cell biologists. Science. 371(6526). 45 indexed citations

Ish-Horowicz, Jonathan, et al.. (2020). GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation. Bioinformatics. 36(10). 3286–3287. 12 indexed citations

Schnoerr, David, et al.. (2020). Exactly solvable models of stochastic gene expression. The Journal of Chemical Physics. 152(14). 144106–144106. 22 indexed citations

Žurauskienė, Justina, Paul Kirk, & Michael P. H. Stumpf. (2016). A graph theoretical approach to data fusion. Statistical Applications in Genetics and Molecular Biology. 15(2). 107–22. 2 indexed citations

Liepe, Juliane, Fabio Marino, John Sidney, et al.. (2016). A large fraction of HLA class I ligands are proteasome-generated spliced peptides. Science. 354(6310). 354–358. 270 indexed citations

Kirk, Paul, Aviva Witkover, Charles R. M. Bangham, et al.. (2013). Balancing the Robustness and Predictive Performance of Biomarkers. Journal of Computational Biology. 20(12). 979–989. 10 indexed citations

10.

Filippi, Sarah, C. Barnes, Julien Cornebise, & Michael P. H. Stumpf. (2013). On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo. Statistical Applications in Genetics and Molecular Biology. 12(1). 87–107. 70 indexed citations

11.

Schumacher, Jörg, Volker Behrends, Daniel R. Brown, et al.. (2013). Nitrogen and Carbon Status Are Integrated at the Transcriptional Level by the Nitrogen Regulator NtrC In Vivo. mBio. 4(6). e00881–13. 52 indexed citations

12.

Filippi, Sarah, C. Barnes, & Michael P. H. Stumpf. (2011). On optimal kernel in ABC SMC. arXiv (Cornell University). 2 indexed citations

13.

Harrington, Heather A., Kenneth L. Ho, Thomas Thorne, & Michael P. H. Stumpf. (2011). A parameter-free model selection criterion based on steady-state coplanarity. arXiv (Cornell University). 1 indexed citations

14.

Kelly, William & Michael P. H. Stumpf. (2010). Trees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteins. BMC Bioinformatics. 11(1). 470–470. 3 indexed citations

15.

Ingram, Piers J., Michael P. H. Stumpf, & Jaroslav Stark. (2008). Nonidentifiability of the Source of Intrinsic Noise in Gene Expression from Single-Burst Data. PLoS Computational Biology. 4(10). e1000192–e1000192. 26 indexed citations

16.

Stumpf, Michael P. H., Thomas Thorne, Eric de Silva, et al.. (2008). Estimating the size of the human interactome. Proceedings of the National Academy of Sciences. 105(19). 6959–6964. 563 indexed citations breakdown →

17.

Stumpf, Michael P. H., Carsten Wiuf, & Robert M. May. (2005). Subnets of scale-free networks are not scale-free: Sampling properties of networks. Proceedings of the National Academy of Sciences. 102(12). 4221–4224. 363 indexed citations

18.

Mead, Simon, Michael P. H. Stumpf, Jerome Whitfield, et al.. (2003). Balancing Selection at the Prion Protein Gene Consistent with Prehistoric Kurulike Epidemics. Science. 300(5619). 640–643. 276 indexed citations

19.

Stumpf, Michael P. H. & Oliver G. Pybus. (2002). Genetic diversity and models of viral evolution for the hepatitis C virus. FEMS Microbiology Letters. 214(2). 143–152. 45 indexed citations

20.

Stumpf, Michael P. H.. (2002). Genetic diversity and models of viral evolution for the hepatitis C virus. FEMS Microbiology Letters. 214(2). 143–152. 3 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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