Dirk Drasdo

778 citations
7 papers · 54 · h-index 4

Impact in

Papers in

    • Genomics and Phylogenetic Studies 2
    • Gene Regulatory Network Analysis 2
    • Single-cell and spatial transcriptomics 1
    • Bioinformatics and Genomic Networks 1
    • Prion Diseases and Protein Misfolding 1
    • RNA and protein synthesis mechanisms 1
    • Gene expression and cancer classification 1

Dirk Drasdo

7 papers receiving 52 citations

Peers

Dirk Drasdo
Comparison fields: 5 of 35
  • Modeling and Simulation 11
  • Structural Biology 2
  • Biophysics 4
  • Condensed Matter Physics 7
  • Molecular Biology 32
Replace D. A. Maximov with:
D. A. Maximov China
Dipanka Tanu Sarmah India
Rocky Fischer United States
Elli Kanal United States
Stefan G. Stark Switzerland
Joseph H. Lubin United States
Ryan Brand United States
Shareef Khalid United States
Jacob K. Asiedu United States
Hasan Balcı Türkiye
Dirk Drasdo relative to D. A. Maximov China D. A. Maximov's profile →
Citations per field
00.5×1.6×
D. A. Maximov · 1×
Citations per year

Countries citing papers authored by Dirk Drasdo

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Drasdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Dirk Drasdo, 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 Dirk Drasdo Line = papers co-authored together Dirk Drasdo links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201416
2 200514
3 200013
4 19964
5 20193
6
Emergence of cell migration and aggregation strategies in a simulated evolutionary process
20042
7
On the temporal-spatial organization of epithelial cell populations in-vitro
20022

About Dirk Drasdo

Dirk Drasdo is a scholar working on Molecular Biology, Artificial Intelligence, Physiology, Genetics and Modeling and Simulation, having authored 7 papers that have together received 54 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Gene Regulatory Network Analysis (2 papers), Single-cell and spatial transcriptomics (1 paper), Bioinformatics and Genomic Networks (1 paper), Alzheimer's disease research and treatments (1 paper), Prion Diseases and Protein Misfolding (1 paper), RNA and protein synthesis mechanisms (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Modeling and Simulation (11 citations), Structural Biology (2 citations), Biophysics (4 citations), Condensed Matter Physics (7 citations) and Molecular Biology (32 citations). Dirk Drasdo has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Terence Hwa, Michael Lässig, Michael Cross, Kristin Missal, Stefan Hoehme, Ursula Klingmüller, Alex E. Henney, Joan Torrent, Yi Yin and Stéphanie Prigent. Their work appears in journals such as Progress in Biophysics and Molecular Biology, Journal of Computational Biology, Bioinformatics, Max Planck Institute for Plasma Physics and MRS Proceedings.

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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