Holger Sueltmann
Impact in
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Advanced Biosensing Techniques and Applications
- Gene Regulatory Network Analysis
- Molecular Biology Techniques and Applications
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Gene expression and cancer classification 3
- Bioinformatics and Genomic Networks 2
- Advanced Biosensing Techniques and Applications 2
- Advanced biosensing and bioanalysis techniques 1
- Oncology 2
- Co-authors
- Annemarie Poustka (6 shared papers)Martin Vingron (2 shared papers)Wolfgang Huber (1 shared paper)Anja von Heydebreck (1 shared paper)Frauke Henjes (1 shared paper)Ulrike Korf (1 shared paper)Stefan Wiemann (1 shared paper)Christian Schmidt (1 shared paper)
- Journals
- Statistical Applications in Genetics and Molecular Biology (1 paper)Molecular Case Studies (1 paper)Cancer Letters (1 paper)BMC Bioinformatics (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- Germany
In The Last Decade
Holger Sueltmann
8 papers receiving 321 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 208
- Immunology 53
- Cancer Research 35
- Oncology 61
- Biophysics 11
Countries citing papers authored by Holger Sueltmann
This map shows the geographic impact of Holger Sueltmann'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 Holger Sueltmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Sueltmann more than expected).
Fields of papers citing papers by Holger Sueltmann
This network shows the impact of papers produced by Holger Sueltmann. 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 Holger Sueltmann. The network helps show where Holger Sueltmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Holger Sueltmann, 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 | 2003 | 131 | |
| 2 | 2009 | 61 | |
| 3 | 2007 | 59 | |
| 4 | 2007 | 35 | |
| 5 | 2009 | 15 | |
| 6 | Statistical Applications in Genetics and Molecular Biology | 2003 | 13 |
| 7 | 2022 | 9 | |
| 8 | 2007 | 9 |
About Holger Sueltmann
Holger Sueltmann is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Artificial Intelligence, having authored 8 papers that have together received 332 indexed citations. Recurring topics across this work include Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Bayesian Methods and Mixture Models (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (208 citations), Immunology (53 citations), Cancer Research (35 citations), Oncology (61 citations) and Biophysics (11 citations). Holger Sueltmann has collaborated with scholars based in Germany. Frequent co-authors include Annemarie Poustka, Martin Vingron, Wolfgang Huber, Anja von Heydebreck, Frauke Henjes, Ulrike Korf, Stefan Wiemann, Christian Schmidt, Tim Beißbarth and Andreas Buneß. Their work appears in journals such as Statistical Applications in Genetics and Molecular Biology, Molecular Case Studies, Cancer Letters, BMC Bioinformatics and International Journal of Cancer.
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.