Michael P. H. Stumpf
- Molecular Biology top 1%
- Genetics top 1%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 1%
- Immunology top 5%
- Co-authors
- Tina ToniCarsten WiufAnn C. BabtiePaul KirkMason A. PorterThomas ThorneDavid WelchNatalja Strelkowa
- Topics
- Gene Regulatory Network Analysis (73 papers)Bioinformatics and Genomic Networks (41 papers)Microbial Metabolic Engineering and Bioproduction (29 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Michael P. H. Stumpf
188 papers receiving 9.0k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Molecular Biology 5.2k
- Genetics 1.5k
- Artificial Intelligence 839
- Statistical and Nonlinear Physics 738
- Immunology 609
Countries citing papers authored by Michael P. H. Stumpf
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 20 | |
| 4 | 45 | |
| 5 | 12 | |
| 6 | 22 | |
| 7 | 270 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 52 | |
| 12 | 6 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 34 | |
| 16 | Estimating the size of the human interactomebreakdown → | 563 |
| 17 | 363 | |
| 18 | 276 | |
| 19 | 45 | |
| 20 | 3 |
About Michael P. H. Stumpf
Michael P. H. Stumpf is a scholar working on Molecular Biology, Statistics and Probability and Statistical and Nonlinear Physics, having authored 193 papers that have together received 9.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (73 papers), Bioinformatics and Genomic Networks (41 papers) and Microbial Metabolic Engineering and Bioproduction (29 papers). The work is most often cited by research in Developmental Biology (191 citations), Molecular Biology (5.2k citations) and Statistics and Probability (605 citations). Michael P. H. Stumpf has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Tina Toni, Carsten Wiuf, Ann C. Babtie, Paul Kirk, Mason A. Porter, Thomas Thorne, David Welch, Natalja Strelkowa, Andreas Ipsen and Eric de Silva. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.