Gero Doose
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Protein Structure and Dynamics
- RNA Research and Splicing
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Pawel Smialowski (1 shared paper)Dmitrij Frishman (1 shared paper)Stefanie Kaufmann (1 shared paper)Phillipp Torkler (1 shared paper)Peter F. Stadler (7 shared papers)Steve Hoffmann (6 shared papers)Lesca M. Holdt (2 shared papers)Jörg Hackermüller (2 shared papers)
- Journals
- Bioinformatics (2 papers)Non-Coding RNA (2 papers)Scientific Reports (1 paper)BMC Genomics (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Gero Doose
13 papers receiving 551 citations
Peers
Comparison fields: 5 of 81
- Cancer Research 181
- Molecular Biology 491
- Genetics 56
- Immunology 36
- Microbiology 10
Countries citing papers authored by Gero Doose
This map shows the geographic impact of Gero Doose'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 Gero Doose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gero Doose more than expected).
Fields of papers citing papers by Gero Doose
This network shows the impact of papers produced by Gero Doose. 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 Gero Doose. The network helps show where Gero Doose may publish in the future.
Co-authors
The 25 scholars most cited alongside Gero Doose, 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 | 2014 | 209 | |
| 2 | 2012 | 168 | |
| 3 | 2016 | 76 | |
| 4 | 2021 | 27 | |
| 5 | 2013 | 16 | |
| 6 | 2019 | 12 | |
| 7 | 2013 | 11 | |
| 8 | 2018 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2012 | 2 |
About Gero Doose
Gero Doose is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Computer Networks and Communications, having authored 13 papers that have together received 560 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), RNA Research and Splicing (4 papers), Cancer-related molecular mechanisms research (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Circular RNAs in diseases (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (181 citations), Molecular Biology (491 citations), Genetics (56 citations), Immunology (36 citations) and Microbiology (10 citations). Gero Doose has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Pawel Smialowski, Dmitrij Frishman, Stefanie Kaufmann, Phillipp Torkler, Peter F. Stadler, Steve Hoffmann, Lesca M. Holdt, Jörg Hackermüller, David Langenberger and Sabina Christ. Their work appears in journals such as Bioinformatics, Non-Coding RNA, Scientific Reports, BMC Genomics and Frontiers in Cell and Developmental Biology.
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.