Walter de Back
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
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- Angiogenesis and VEGF in Cancer 3
-
- Cellular Mechanics and Interactions 2
- Co-authors
- Lutz Brusch (5 shared papers)Jörn Starruß (2 shared papers)Andreas Deutsch (2 shared papers)Miguel A. Herrero (2 shared papers)Alvaro Köhn‐Luque (2 shared papers)Joseph Zhou (1 shared paper)Jihong Lin (1 shared paper)Hans‐Peter Hammes (1 shared paper)
- Journals
- Journal of Comparative Pathology (1 paper)Scientific Reports (1 paper)BMC Systems Biology (1 paper)Nature Plants (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Walter de Back
18 papers receiving 550 citations
Peers
Comparison fields: 5 of 104
- Modeling and Simulation 86
- Cell Biology 118
- Biophysics 38
- Hematology 73
- Molecular Biology 260
Countries citing papers authored by Walter de Back
This map shows the geographic impact of Walter de Back'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 Walter de Back with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter de Back more than expected).
Fields of papers citing papers by Walter de Back
This network shows the impact of papers produced by Walter de Back. 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 Walter de Back. The network helps show where Walter de Back may publish in the future.
Co-authors
The 25 scholars most cited alongside Walter de Back, 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 | 2014 | 172 | |
| 2 | 2019 | 90 | |
| 3 | 2007 | 84 | |
| 4 | 2019 | 37 | |
| 5 | 2013 | 36 | |
| 6 | 2011 | 35 | |
| 7 | 2019 | 30 | |
| 8 | 2012 | 23 | |
| 9 | 2013 | 15 | |
| 10 | 2015 | 10 | |
| 11 | Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imaging | 2019 | 8 |
| 12 | 2020 | 5 | |
| 13 | 2009 | 5 | |
| 14 | 2024 | 4 | |
| 15 | Templates for distributed agent-based simulations on a quasi-opportunistic grid | 2008 | 1 |
| 16 | 2018 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2006 | 1 | |
| 19 | 2015 | 0 |
About Walter de Back
Walter de Back is a scholar working on Molecular Biology, Cell Biology, Biophysics, Modeling and Simulation and Surgery, having authored 19 papers that have together received 558 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Mathematical Biology Tumor Growth (3 papers), Pancreatic function and diabetes (2 papers), Plant Molecular Biology Research (2 papers), Cell Image Analysis Techniques (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Cellular Mechanics and Interactions (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Modeling and Simulation (86 citations), Cell Biology (118 citations), Biophysics (38 citations), Hematology (73 citations) and Molecular Biology (260 citations). Walter de Back has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Lutz Brusch, Jörn Starruß, Andreas Deutsch, Miguel A. Herrero, Alvaro Köhn‐Luque, Joseph Zhou, Jihong Lin, Hans‐Peter Hammes, Franziska vom Hagen and Yuxi Feng. Their work appears in journals such as Journal of Comparative Pathology, Scientific Reports, BMC Systems Biology, Nature Plants and Bioinformatics.
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.