Dániel András Drexler

1.3k citations
116 papers · 951 indexed · h-index 16
Topics
Mathematical Biology Tumor Growth (60 papers)Angiogenesis and VEGF in Cancer (18 papers)Gene Regulatory Network Analysis (18 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
Partner nations
HungaryAustriaRomania

In The Last Decade

Dániel András Drexler

103 papers receiving 944 citations

Peers

Dániel András Drexler
Comparison fields: 5 of 103
  • Modeling and Simulation 453
  • Molecular Biology 323
  • Oncology 200
  • Cancer Research 160
  • Control and Systems Engineering 127
Replace Eric Bullinger with:
Eric Bullinger Germany
Marco Antoniotti Italy
Vijay Mohan India
Mengjiao Cai China
Jelena Pješivac–Grbović United States
Leili Shahriyari United States
Kensuke Tanaka Japan
Yufan Zhao United States
Xiaofeng Xia China
Yingying Yu China
Dániel András Drexler relative to Eric Bullinger Germany Eric Bullinger's profile →
Citations per field
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Eric Bullinger · 1×
Citations per year

Countries citing papers authored by Dániel András Drexler

Since Specialization
Citations

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

Fields of papers citing papers by Dániel András Drexler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dániel András Drexler. 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 Dániel András Drexler. The network helps show where Dániel András Drexler may publish in the future.

Co-authorship network of co-authors of Dániel András Drexler

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel András Drexler. A scholar is included among the top collaborators of Dániel András Drexler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dániel András Drexler. Dániel András Drexler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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About Dániel András Drexler

Dániel András Drexler is a scholar working on Modeling and Simulation, Computational Mathematics and Cancer Research, having authored 116 papers that have together received 951 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (60 papers), Angiogenesis and VEGF in Cancer (18 papers) and Gene Regulatory Network Analysis (18 papers). The work is most often cited by research in Modeling and Simulation (453 citations), Computational Mathematics (10 citations) and Cancer Research (160 citations). Dániel András Drexler has collaborated with scholars based in Hungary, Austria and Romania. Frequent co-authors include Levente Kovács, Johanna Sápi, István Harmati, Zoltàn Sápi, Tamás Ferenci, Imre J. Rudas, Pál Kocsis, Tamás Haidegger, András Füredi and Anna Lovrics. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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