Alexander Sturn

7.2k citations
8 papers · 1.8k indexed · 1 hit paper · h-index 7
Topics
Bioinformatics and Genomic Networks (5 papers)Gene expression and cancer classification (5 papers)Molecular Biology Techniques and Applications (2 papers)
Partner nations
AustriaUnited States

In The Last Decade

Alexander Sturn

8 papers receiving 1.8k citations

Hit Papers

Genesis: cluster analysis of microarray data200220262010201820024008001.2k

Peers

Alexander Sturn
Comparison fields: 5 of 131
  • Molecular Biology 1.1k
  • Plant Science 355
  • Cancer Research 216
  • Immunology 210
  • Genetics 154
Replace Maciej Pietrzak with:
Maciej Pietrzak United States
Alexander I. Saeed United States
Emanuele Alpi United Kingdom
Henry Heberle Germany
John Braisted United States
Eleanor Howe United States
Rintaro Saito Japan
Christopher G. Langendorf Australia
Ignacio Medina Spain
Sabino Liuni Italy
Alexander Sturn relative to Maciej Pietrzak United States Maciej Pietrzak's profile →
Citations per field
00.5×1.7×
Maciej Pietrzak · 1×
Citations per year

Countries citing papers authored by Alexander Sturn

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Sturn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Sturn

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Sturn. A scholar is included among the top collaborators of Alexander Sturn 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 Alexander Sturn. Alexander Sturn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 35
2 185
3 1
4 59
5 44
6 21
7 16
8
Genesis: cluster analysis of microarray databreakdown →
1475

About Alexander Sturn

Alexander Sturn is a scholar working on Information Systems and Management, Molecular Biology and Cancer Research, having authored 8 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (5 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (216 citations) and Immunology (210 citations). Alexander Sturn has collaborated with scholars based in Austria and United States. Frequent co-authors include Zlatko Trajanoski, John Quackenbush, Gernot Stocker, Fátima Sánchez‐Cabo, Johannes Rainer, Hubert Hackl, Thomas R. Burkard, Jürgen Hartler, Frank Eisenhaber and Alexander Schleiffer. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Genome 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.

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