Nico Voss
Impact in
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
- Microbial Metabolic Engineering and Bioproduction
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
Papers in
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- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 4
- Genomics and Chromatin Dynamics 2
- Gene Regulatory Network Analysis 2
- Biomedical Text Mining and Ontologies 2
- Microbial Metabolic Engineering and Bioproduction 1
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- Computational Drug Discovery Methods 1
- Co-authors
- Edgar Wingender (11 shared papers)Olga Kel‐Margoulis (7 shared papers)Alexander Kel (9 shared papers)Philip Stegmaier (4 shared papers)Ruy Jáuregui (1 shared paper)А. П. Потапов (3 shared papers)Mathias Krull (3 shared papers)Claudia Choi (2 shared papers)
- Journals
- BMC Systems Biology (1 paper)Bioinformatics (1 paper)Briefings in Bioinformatics (1 paper)PLoS ONE (1 paper)Comparative and Functional Genomics (1 paper)
- Partner nations
- GermanyRussiaNetherlands
In The Last Decade
Nico Voss
11 papers receiving 270 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 191
- Cancer Research 21
- Internal Medicine 4
- Immunology 24
- Computational Theory and Mathematics 19
Countries citing papers authored by Nico Voss
This map shows the geographic impact of Nico Voss'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 Nico Voss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nico Voss more than expected).
Fields of papers citing papers by Nico Voss
This network shows the impact of papers produced by Nico Voss. 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 Nico Voss. The network helps show where Nico Voss may publish in the future.
Co-authors
The 15 scholars most cited alongside Nico Voss, 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 | 2006 | 76 | |
| 2 | 2006 | 45 | |
| 3 | Topology of mammalian transcription networks. | 2005 | 37 |
| 4 | 2008 | 30 | |
| 5 | 2004 | 26 | |
| 6 | 2011 | 18 | |
| 7 | Consistent re-modeling of signaling pathways and its implementation in the TRANSPATH database. | 2004 | 16 |
| 8 | 2010 | 11 | |
| 9 | 2008 | 11 | |
| 10 | From composite patters to pathways – Prediction of key regulators of gene expression | 2004 | 3 |
| 11 | 2004 | 1 |
About Nico Voss
Nico Voss is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biotechnology, Cancer Research and Infectious Diseases, having authored 11 papers that have together received 274 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (4 papers), Genomics and Chromatin Dynamics (2 papers), Gene Regulatory Network Analysis (2 papers), Biomedical Text Mining and Ontologies (2 papers), Computational Drug Discovery Methods (1 paper), NF-κB Signaling Pathways (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Molecular Biology (191 citations), Cancer Research (21 citations), Internal Medicine (4 citations), Immunology (24 citations) and Computational Theory and Mathematics (19 citations). Nico Voss has collaborated with scholars based in Germany, Russia and Netherlands. Frequent co-authors include Edgar Wingender, Olga Kel‐Margoulis, Alexander Kel, Philip Stegmaier, Ruy Jáuregui, А. П. Потапов, Mathias Krull, Claudia Choi, Susanne Pistor and Dmitry Shtokalo. Their work appears in journals such as BMC Systems Biology, Bioinformatics, Briefings in Bioinformatics, PLoS ONE and Comparative and Functional Genomics.
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.