Daniel Stöckel
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
Papers in ⓘ
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- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Renal and related cancers 2
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
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- MicroRNA in disease regulation 2
- Co-authors
- Hans‐Peter Lenhof (14 shared papers)Andreas Keller (11 shared papers)Eckart Meese (10 shared papers)Christina Backes (8 shared papers)Tim Kehl (9 shared papers)Tobias Fehlmann (2 shared papers)Lara Schneider (7 shared papers)Andreas Gerasch (4 shared papers)
- Journals
- Bioinformatics (4 papers)Nucleic Acids Research (4 papers)International Journal of Cancer (2 papers)Frontiers in Molecular Biosciences (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Daniel Stöckel
16 papers receiving 746 citations
Peers
Comparison fields: 5 of 122
- Cancer Research 271
- Molecular Biology 510
- Computational Theory and Mathematics 46
- Immunology 60
- Genetics 78
Countries citing papers authored by Daniel Stöckel
This map shows the geographic impact of Daniel Stöckel'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 Daniel Stöckel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stöckel more than expected).
Fields of papers citing papers by Daniel Stöckel
This network shows the impact of papers produced by Daniel Stöckel. 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 Daniel Stöckel. The network helps show where Daniel Stöckel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stöckel, 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 | 2011 | 203 | |
| 2 | 2019 | 160 | |
| 3 | 2016 | 109 | |
| 4 | 2016 | 101 | |
| 5 | 2010 | 54 | |
| 6 | 2013 | 53 | |
| 7 | 2017 | 14 | |
| 8 | 2013 | 11 | |
| 9 | 2015 | 9 | |
| 10 | 2014 | 8 | |
| 11 | 2015 | 7 | |
| 12 | 2018 | 6 | |
| 13 | History-alignment Models for Bias-aware Prediction of Virological Response to HIV Combination Therapy | 2012 | 5 |
| 14 | 2018 | 4 | |
| 15 | 2013 | 3 | |
| 16 | 2021 | 2 |
About Daniel Stöckel
Daniel Stöckel is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Computational Theory and Mathematics and Infectious Diseases, having authored 16 papers that have together received 749 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene Regulatory Network Analysis (3 papers), MicroRNA in disease regulation (2 papers), Computational Drug Discovery Methods (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Renal and related cancers (2 papers), Genomics and Chromatin Dynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (271 citations), Molecular Biology (510 citations), Computational Theory and Mathematics (46 citations), Immunology (60 citations) and Genetics (78 citations). Daniel Stöckel has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hans‐Peter Lenhof, Andreas Keller, Eckart Meese, Christina Backes, Tim Kehl, Tobias Fehlmann, Lara Schneider, Andreas Gerasch, Michael Kaufmann and Nicole Ludwig. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, International Journal of Cancer, Frontiers in Molecular Biosciences and BMC Bioinformatics.
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.