Florian Greil

440 citations
8 papers · 303 · h-index 6

Impact in

Papers in

    • Neural dynamics and brain function 3
    • Gene Regulatory Network Analysis 8
    • Bioinformatics and Genomic Networks 4
    • Protein Structure and Dynamics 3
    • Microbial Metabolic Engineering and Bioproduction 1

Florian Greil

8 papers receiving 294 citations

Peers

Florian Greil
Comparison fields: 5 of 33
  • Molecular Biology 284
  • Statistical and Nonlinear Physics 49
  • Biophysics 17
  • Computational Theory and Mathematics 45
  • Genetics 52
Replace Tetsuya J. Kobayashi with:
Tetsuya J. Kobayashi Japan
Maya Mincheva United States
Jeremy B. Chang United States
Ritwik Kumar Layek India
Brandilyn Stigler United States
Dominik M. Wittmann Germany
Xinrong Yang China
Edward J. Hancock United Kingdom
Florian Klimm United Kingdom
Florian Greil relative to Tetsuya J. Kobayashi Japan Tetsuya J. Kobayashi's profile →
Citations per field
00.5×1.5×2×2.3×
Tetsuya J. Kobayashi · 1×
Citations per year

Countries citing papers authored by Florian Greil

Since Specialization
Citations

This map shows the geographic impact of Florian Greil'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 Florian Greil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Greil more than expected).

Fields of papers citing papers by Florian Greil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian Greil. 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 Florian Greil. The network helps show where Florian Greil may publish in the future.

Co-authors

The 6 scholars most cited alongside Florian Greil, 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 Florian Greil Line = papers co-authored together Florian Greil links everyone, so they are left out of the graph.

All Works

About Florian Greil

Florian Greil is a scholar working on Cognitive Neuroscience, Molecular Biology, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Genetics, having authored 8 papers that have together received 303 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Bioinformatics and Genomic Networks (4 papers), Neural dynamics and brain function (3 papers), Protein Structure and Dynamics (3 papers), stochastic dynamics and bifurcation (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), Slime Mold and Myxomycetes Research (1 paper) and Evolution and Genetic Dynamics (1 paper). The work is most often cited by research in Molecular Biology (284 citations), Statistical and Nonlinear Physics (49 citations), Biophysics (17 citations), Computational Theory and Mathematics (45 citations) and Genetics (52 citations). Florian Greil has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Barbara Drossel, Tamara Mihaljev, Maya Paczuski, Andrew M. Berdahl, Jörn Davidsen and Konstantin Klemm. Their work appears in journals such as Physical Review Letters, Theory in Biosciences, The European Physical Journal B, Frontiers in Plant Science and Physical Review E.

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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