Gero Doose
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Lymphoma Diagnosis and Treatment
Papers in
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- Cancer-related molecular mechanisms research 5
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- RNA modifications and cancer 6
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 3
- Circular RNAs in diseases 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Peter Florian Stadler (9 shared papers)Pawel Smialowski (1 shared paper)Stefanie Kaufmann (1 shared paper)Phillipp Torkler (1 shared paper)Dmitrij Frishman (1 shared paper)Steve Hoffmann (6 shared papers)Lesca Miriam Holdt (2 shared papers)Jörg Hackermüller (2 shared papers)
- Journals
- Nature Communications (3 papers)Bioinformatics (2 papers)Non-Coding RNA (2 papers)Scientific Reports (2 papers)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Gero Doose
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 328
- Pathology and Forensic Medicine 253
- Aging 25
- Genetics 127
- Molecular Biology 748
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 221 | |
| 2 | 2012 | 175 | |
| 3 | 2015 | 117 | |
| 4 | 2019 | 113 | |
| 5 | 2022 | 106 | |
| 6 | 2016 | 99 | |
| 7 | 2016 | 87 | |
| 8 | 2015 | 87 | |
| 9 | 2018 | 84 | |
| 10 | 2021 | 41 | |
| 11 | 2016 | 37 | |
| 12 | 2021 | 29 | |
| 13 | 2013 | 18 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2013 | 11 | |
| 18 | 2022 | 9 | |
| 19 | 2013 | 7 | |
| 20 | 2017 | 7 |
About Gero Doose
Gero Doose is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Genetics and Oncology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (5 papers), Lymphoma Diagnosis and Treatment (4 papers), RNA and protein synthesis mechanisms (3 papers), Circular RNAs in diseases (2 papers), Viral-associated cancers and disorders (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (328 citations), Pathology and Forensic Medicine (253 citations), Aging (25 citations), Genetics (127 citations) and Molecular Biology (748 citations). Gero Doose has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Peter Florian Stadler, Pawel Smialowski, Stefanie Kaufmann, Phillipp Torkler, Dmitrij Frishman, Steve Hoffmann, Lesca Miriam Holdt, Jörg Hackermüller, David Langenberger and Daniel Teupser. Their work appears in journals such as Nature Communications, Bioinformatics, Non-Coding RNA, Scientific Reports 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.