Holger Sültmann
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 0.5%
- Extracellular vesicles in disease
- Circular RNAs in diseases
- Gene expression and cancer classification
- RNA modifications and cancer
Papers in
-
- Cancer Genomics and Diagnostics 33
- Cancer-related molecular mechanisms research 24
- MicroRNA in disease regulation 18
-
- Prostate Cancer Treatment and Research 26
- Lung Cancer Treatments and Mutations 22
- Co-authors
- Annemarie PoustkaAnja von HeydebreckWolfgang HuberMartin VingronRuprecht KunerJan C. BraseMaria FälthDaniela Wuttig
- Journals
- PLoS ONE (8 papers)Bioinformatics (7 papers)Cancers (6 papers)Immunogenetics (5 papers)International Journal of Cancer (5 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Holger Sültmann
154 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 3.4k
- Molecular Biology 6.1k
- Hepatology 568
- Immunology 1.2k
- Oncology 1.2k
Countries citing papers authored by Holger Sültmann
This map shows the geographic impact of Holger Sültmann'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 Sültmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger Sültmann more than expected).
Fields of papers citing papers by Holger Sültmann
This network shows the impact of papers produced by Holger Sültmann. 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 Sültmann. The network helps show where Holger Sültmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Holger Sültmann, 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 | 2024 | 5 | |
| 2 | 2023 | 54 | |
| 3 | 2022 | 5 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 17 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 14 | |
| 9 | 2017 | 146 | |
| 10 | 2012 | 119 | |
| 11 | 2012 | 45 | |
| 12 | 2011 | 138 | |
| 13 | 2010 | 108 | |
| 14 | 2008 | 18 | |
| 15 | 2008 | 12 | |
| 16 | 2007 | 349 | |
| 17 | Estimating Large Scale Scale Signaling Networks through Nested Effects Models from Intervention Effects in Microarray Data. | 2007 | 6 |
| 18 | Variance stabilization applied to microarray data calibration and to the quantification of differential expression Hit paper breakdown → | 2002 | 1806 |
| 19 | 2001 | 157 | |
| 20 | 2000 | 143 |
About Holger Sültmann
Holger Sültmann is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Health Informatics, having authored 154 papers that have together received 9.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (33 papers), Prostate Cancer Treatment and Research (26 papers), Cancer-related molecular mechanisms research (24 papers), Lung Cancer Treatments and Mutations (22 papers), MicroRNA in disease regulation (18 papers), Gene expression and cancer classification (15 papers), RNA modifications and cancer (13 papers) and Epigenetics and DNA Methylation (13 papers). The work is most often cited by research in Cancer Research (3.4k citations), Molecular Biology (6.1k citations), Hepatology (568 citations), Immunology (1.2k citations) and Oncology (1.2k citations). Holger Sültmann has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Annemarie Poustka, Anja von Heydebreck, Wolfgang Huber, Martin Vingron, Ruprecht Kuner, Jan C. Brase, Maria Fälth, Daniela Wuttig, Tim Beißbarth and Thorsten Schlomm. Their work appears in journals such as PLoS ONE, Bioinformatics, Cancers, Immunogenetics 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.