Tim Maiwald
Impact in
- Modeling and Simulation top 2%
- Molecular Biology top 10%
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
Papers in
-
- Gene Regulatory Network Analysis 5
- Microbial Metabolic Engineering and Bioproduction 3
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Jens Timmer (12 shared papers)Clemens Kreutz (8 shared papers)Ursula Klingmüller (8 shared papers)Andreas Raue (5 shared papers)Marcel Schilling (6 shared papers)Jasmin Bachmann (1 shared paper)Marialuisa Pellegrini‐Calace (1 shared paper)Janet M. Thornton (1 shared paper)
- Journals
- Bioinformatics (4 papers)PLoS Computational Biology (2 papers)PLoS Pathogens (1 paper)Epilepsy & Behavior (1 paper)FEBS Journal (1 paper)
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Tim Maiwald
14 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Modeling and Simulation 131
- Molecular Biology 954
- Statistics, Probability and Uncertainty 95
- Cognitive Neuroscience 210
- Computational Theory and Mathematics 130
Countries citing papers authored by Tim Maiwald
This map shows the geographic impact of Tim Maiwald'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 Tim Maiwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Maiwald more than expected).
Fields of papers citing papers by Tim Maiwald
This network shows the impact of papers produced by Tim Maiwald. 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 Tim Maiwald. The network helps show where Tim Maiwald may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Maiwald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood Hit paper breakdown → | 2009 | 903 |
| 2 | 2003 | 173 | |
| 3 | 2015 | 153 | |
| 4 | 2009 | 146 | |
| 5 | 2007 | 131 | |
| 6 | 2011 | 106 | |
| 7 | 2007 | 85 | |
| 8 | 2016 | 68 | |
| 9 | 2010 | 40 | |
| 10 | 2020 | 34 | |
| 11 | 2005 | 30 | |
| 12 | 2015 | 14 | |
| 13 | 2020 | 6 | |
| 14 | 2004 | 4 |
About Tim Maiwald
Tim Maiwald is a scholar working on Molecular Biology, Oncology, Immunology, Artificial Intelligence and Computer Networks and Communications, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), interferon and immune responses (3 papers), Immune Cell Function and Interaction (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Modeling and Simulation (131 citations), Molecular Biology (954 citations), Statistics, Probability and Uncertainty (95 citations), Cognitive Neuroscience (210 citations) and Computational Theory and Mathematics (130 citations). Tim Maiwald has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Jens Timmer, Clemens Kreutz, Ursula Klingmüller, Andreas Raue, Marcel Schilling, Jasmin Bachmann, Marialuisa Pellegrini‐Calace, Janet M. Thornton, Matthias Winterhalder and Henning U. Voss. Their work appears in journals such as Bioinformatics, PLoS Computational Biology, PLoS Pathogens, Epilepsy & Behavior and FEBS Journal.
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.