Daniel Groelz
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
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- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
Papers in
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- Molecular Biology Techniques and Applications 9
- RNA Research and Splicing 4
- RNA modifications and cancer 1
- Oncology 3
- Cancer Cells and Metastasis 3
- Co-authors
- Christian Viertler (7 shared papers)Kurt Zatloukal (7 shared papers)Ralf Wyrich (3 shared papers)Philip A. Branton (1 shared paper)Lynne Rainen (1 shared paper)Carolyn C. Compton (1 shared paper)Leslie H. Sobin (1 shared paper)Karl‐Friedrich Becker (3 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Visualized Experiments (2 papers)International Journal of Experimental Pathology (1 paper)Journal of Proteome Research (1 paper)Experimental and Molecular Pathology (1 paper)
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Daniel Groelz
12 papers receiving 504 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 179
- Molecular Biology 307
- Oncology 79
- Biophysics 12
- Pulmonary and Respiratory Medicine 59
Countries citing papers authored by Daniel Groelz
This map shows the geographic impact of Daniel Groelz'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 Groelz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Groelz more than expected).
Fields of papers citing papers by Daniel Groelz
This network shows the impact of papers produced by Daniel Groelz. 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 Groelz. The network helps show where Daniel Groelz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Groelz, 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 | 2019 | 130 | |
| 2 | 2012 | 107 | |
| 3 | 2012 | 76 | |
| 4 | 2018 | 76 | |
| 5 | 2011 | 73 | |
| 6 | 2013 | 27 | |
| 7 | 2016 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2017 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2018 | 1 |
About Daniel Groelz
Daniel Groelz is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Spectroscopy, having authored 12 papers that have together received 516 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (9 papers), RNA Research and Splicing (4 papers), Cancer Cells and Metastasis (3 papers), Virus-based gene therapy research (3 papers), Cancer Genomics and Diagnostics (2 papers), Animal Genetics and Reproduction (1 paper), RNA modifications and cancer (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (179 citations), Molecular Biology (307 citations), Oncology (79 citations), Biophysics (12 citations) and Pulmonary and Respiratory Medicine (59 citations). Daniel Groelz has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Christian Viertler, Kurt Zatloukal, Ralf Wyrich, Philip A. Branton, Lynne Rainen, Carolyn C. Compton, Leslie H. Sobin, Karl‐Friedrich Becker, Uwe Oelmüller and Peter H. J. Riegman. Their work appears in journals such as PLoS ONE, Journal of Visualized Experiments, International Journal of Experimental Pathology, Journal of Proteome Research and Experimental and Molecular Pathology.
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.