Moritz Lang

464 citations
17 papers · 306 · h-index 8

Impact in

    • 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

Moritz Lang

16 papers receiving 301 citations

Peers

Moritz Lang
Comparison fields: 5 of 70
  • Molecular Biology 228
  • Biophysics 19
  • Cell Biology 38
  • Biomedical Engineering 72
  • Biotechnology 12
Replace Christoph G. Gäbelein with:
Christoph G. Gäbelein Switzerland
Natalia Moroz United States
Simón Álamos United States
Joan G. Marcano-Velázquez United States
Alexandra Westbrook United States
Neftali Flores‐Rodriguez United Kingdom
Luke Hayden United States
Jason Kelly United States
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Liyang Xiong United States
Moritz Lang relative to Christoph G. Gäbelein Switzerland Christoph G. Gäbelein's profile →
Citations per field
00.5×10×20×32×
Christoph G. Gäbelein · 1×
Citations per year

Countries citing papers authored by Moritz Lang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Moritz Lang Line = papers co-authored together Moritz Lang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201288
2 201748
3 201741
4 201940
5 201226
6 201613
7 201610
8 20189
9 20146
10 20166
11 20155
12 20114
13 20174
14 20093
15 20222
16
Sandpile monomorphisms and harmonic functions
20191
17 20220

About Moritz Lang

Moritz Lang is a scholar working on Molecular Biology, Computer Networks and Communications, Biomedical Engineering, Condensed Matter Physics and Mathematical Physics, having authored 17 papers that have together received 306 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (10 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Bioinformatics and Genomic Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Fungal and yeast genetics research (2 papers), Theoretical and Computational Physics (2 papers), Molecular Communication and Nanonetworks (2 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Molecular Biology (228 citations), Biophysics (19 citations), Cell Biology (38 citations), Biomedical Engineering (72 citations) and Biotechnology (12 citations). Moritz Lang has collaborated with scholars based in Switzerland, Austria and Germany. Frequent co-authors include Jörg Stelling, Martin Fussenegger, Wilfried Weber, Marie Daoud El‐Baba, Călin C. Guet, Fabian Rudolf, Dominik Refardt, Bruce R. Levin, Maroš Pleška and Marius Müller. Their work appears in journals such as Automatica, Comptes Rendus Mathématique, ACS Synthetic Biology, Nature Communications and SIAM Journal on Scientific Computing.

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.

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