Tilmann Glimm
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth 9
- Cell Biology top 5%
- Cellular Mechanics and Interactions 16
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- Developmental Biology and Gene Regulation 8
- Gene Regulatory Network Analysis 6
- RNA Research and Splicing 5
- Wnt/β-catenin signaling in development and cancer 3
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- Nonlinear Dynamics and Pattern Formation 6
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- Advanced Numerical Methods in Computational Mathematics 2
- Co-authors
- Stuart A. NewmanH. G. E. HentschelVladimir OlikerMark AlberJames A. GlazierBogdan KaźmierczakRamray BhatJesús A. Izaguirre
- Partner nations
- United StatesIndiaPoland
In The Last Decade
Tilmann Glimm
31 papers receiving 744 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 141
- Cell Biology 267
- Developmental Biology 13
- Molecular Biology 366
- Computer Graphics and Computer-Aided Design 18
Countries citing papers authored by Tilmann Glimm
This map shows the geographic impact of Tilmann Glimm'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 Tilmann Glimm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tilmann Glimm more than expected).
Fields of papers citing papers by Tilmann Glimm
This network shows the impact of papers produced by Tilmann Glimm. 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 Tilmann Glimm. The network helps show where Tilmann Glimm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tilmann Glimm, 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 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2018 | 16 | |
| 8 | 2016 | 14 | |
| 9 | 2013 | 27 | |
| 10 | 2012 | 13 | |
| 11 | 2011 | 19 | |
| 12 | 2009 | 12 | |
| 13 | 2007 | 44 | |
| 14 | 2007 | 26 | |
| 15 | 2007 | 44 | |
| 16 | 2006 | 52 | |
| 17 | 2005 | 81 | |
| 18 | 2004 | 41 | |
| 19 | 2004 | 99 | |
| 20 | 2003 | 84 |
About Tilmann Glimm
Tilmann Glimm is a scholar working on Modeling and Simulation, Cell Biology, Aging, Geometry and Topology and Computer Graphics and Computer-Aided Design, having authored 33 papers that have together received 772 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (16 papers), Mathematical Biology Tumor Growth (9 papers), Developmental Biology and Gene Regulation (8 papers), Gene Regulatory Network Analysis (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers), RNA Research and Splicing (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Advanced Numerical Methods in Computational Mathematics (2 papers). The work is most often cited by research in Modeling and Simulation (141 citations), Cell Biology (267 citations), Developmental Biology (13 citations), Molecular Biology (366 citations) and Computer Graphics and Computer-Aided Design (18 citations). Tilmann Glimm has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Stuart A. Newman, H. G. E. Hentschel, Vladimir Oliker, Mark Alber, James A. Glazier, Bogdan Kaźmierczak, Ramray Bhat, Jesús A. Izaguirre, Rajiv Chaturvedi and Nan Chen. Their work appears in journals such as Nonlinearity, PeerJ, Mathematical Biosciences, International Journal of Bifurcation and Chaos and Bulletin of Mathematical 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.