Thomas Zichner
Impact in
- Genetics top 2%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic diversity and population structure
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Bioinformatics and Genomic Networks 5
- Genomics and Phylogenetic Studies 4
- Gene expression and cancer classification 4
- Gene Regulatory Network Analysis 2
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- Data Visualization and Analytics 4
- Co-authors
- Jan O. KorbelAdrian M. StützTobias RauschAndreas SchlattlVladimı́r BenešEnrico CannavòEileen E. M. FurlongDavid Garfield
- Journals
- Bioinformatics (4 papers)G3 Genes Genomes Genetics (1 paper)Current Biology (1 paper)Analytical Chemistry (1 paper)Algorithmica (1 paper)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Thomas Zichner
19 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Genetics 760
- Cancer Research 402
- Molecular Biology 1.4k
- Plant Science 396
- Aging 16
Countries citing papers authored by Thomas Zichner
This map shows the geographic impact of Thomas Zichner'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 Thomas Zichner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Zichner more than expected).
Fields of papers citing papers by Thomas Zichner
This network shows the impact of papers produced by Thomas Zichner. 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 Thomas Zichner. The network helps show where Thomas Zichner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas Zichner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 78 | |
| 5 | 2019 | 4 | |
| 6 | 2019 | 23 | |
| 7 | 2018 | 27 | |
| 8 | Taggle: Scalable Visualization of Tabular Data through Aggregation. | 2017 | 4 |
| 9 | 2015 | 160 | |
| 10 | 2014 | 17 | |
| 11 | 2014 | 4 | |
| 12 | 2013 | 335 | |
| 13 | 2012 | 57 | |
| 14 | DELLY: structural variant discovery by integrated paired-end and split-read analysis Hit paper breakdown → | 2012 | 1300 |
| 15 | 2012 | 92 | |
| 16 | 2010 | 47 | |
| 17 | 2007 | 6 | |
| 18 | 2007 | 12 | |
| 19 | 2007 | 33 |
About Thomas Zichner
Thomas Zichner is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biophysics, Information Systems and Management and Statistics and Probability, having authored 19 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Genomics and Phylogenetic Studies (4 papers), Data Visualization and Analytics (4 papers), Gene expression and cancer classification (4 papers), Chromosomal and Genetic Variations (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Gene Regulatory Network Analysis (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Genetics (760 citations), Cancer Research (402 citations), Molecular Biology (1.4k citations), Plant Science (396 citations) and Aging (16 citations). Thomas Zichner has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Jan O. Korbel, Adrian M. Stütz, Tobias Rausch, Andreas Schlattl, Vladimı́r Beneš, Enrico Cannavò, Eileen E. M. Furlong, David Garfield, Anna Jauch and Julien Gagneur. Their work appears in journals such as Bioinformatics, G3 Genes Genomes Genetics, Current Biology, Analytical Chemistry and Algorithmica.
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.