Moritz Lang
Impact in
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- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Single-cell and spatial transcriptomics
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Gene Regulatory Network Analysis 10
- Microbial Metabolic Engineering and Bioproduction 3
- Bioinformatics and Genomic Networks 3
- Fungal and yeast genetics research 2
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- Nonlinear Dynamics and Pattern Formation 4
- Co-authors
- Joerg Stelling (6 shared papers)Martin Fussenegger (2 shared papers)Marie Daoud El‐Baba (1 shared paper)Wilfried Weber (1 shared paper)Călin C. Guet (2 shared papers)Dominik Refardt (1 shared paper)Maroš Pleška (1 shared paper)Fabian Rudolf (1 shared paper)
- Journals
- Automatica (2 papers)Nature Ecology & Evolution (1 paper)Comptes Rendus Mathématique (1 paper)ACS Synthetic Biology (1 paper)Current Protocols in Molecular Biology (1 paper)
- Partner nations
- SwitzerlandAustriaGermany
In The Last Decade
Moritz Lang
15 papers receiving 309 citations
Peers
Comparison fields: 5 of 71
- Biophysics 21
- Molecular Biology 237
- Cell Biology 40
- Biomedical Engineering 71
- Biotechnology 12
Countries citing papers authored by Moritz Lang
This map shows the geographic impact of Moritz Lang'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 Moritz Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Lang more than expected).
Fields of papers citing papers by Moritz Lang
This network shows the impact of papers produced by Moritz Lang. 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 Moritz Lang. The network helps show where Moritz Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Moritz Lang, 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 | 2012 | 89 | |
| 2 | 2017 | 50 | |
| 3 | 2017 | 44 | |
| 4 | 2019 | 42 | |
| 5 | 2012 | 26 | |
| 6 | 2016 | 13 | |
| 7 | 2016 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2015 | 7 | |
| 10 | 2016 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2011 | 5 | |
| 13 | 2009 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 0 |
About Moritz Lang
Moritz Lang is a scholar working on Molecular Biology, Computer Networks and Communications, Physical and Theoretical Chemistry, Computational Theory and Mathematics and Modeling and Simulation, having authored 16 papers that have together received 319 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Bioinformatics and Genomic Networks (3 papers), thermodynamics and calorimetric analyses (2 papers), Fungal and yeast genetics research (2 papers), Molecular Communication and Nanonetworks (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Biophysics (21 citations), Molecular Biology (237 citations), Cell Biology (40 citations), Biomedical Engineering (71 citations) and Biotechnology (12 citations). Moritz Lang has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include Joerg Stelling, Martin Fussenegger, Marie Daoud El‐Baba, Wilfried Weber, Călin C. Guet, Dominik Refardt, Maroš Pleška, Fabian Rudolf, Bruce R. Levin and Eduardo D. Sontag. Their work appears in journals such as Automatica, Nature Ecology & Evolution, Comptes Rendus Mathématique, ACS Synthetic Biology and Current Protocols in Molecular 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.