Gerda Egger
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research 5
- Molecular Biology top 1%
- Epigenetics and DNA Methylation 27
- Histone Deacetylase Inhibitors Research 13
- Cancer-related gene regulation 10
- RNA modifications and cancer 10
- Genomics and Chromatin Dynamics 6
- Hematology top 5%
- Genetics top 2%
- Genetics and Neurodevelopmental Disorders 6
- Oncology top 5%
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- Prostate Cancer Treatment and Research 6
- Co-authors
- Peter A. JonesGangning LiangAna M. AparicioYoshimasa SaitoJody C. ChuangJeffrey M. FriedmanGerhard A. CoetzeeEinav Nili Gal‐Yam
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Cancer Research (4 papers)Cancers (3 papers)
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Gerda Egger
65 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cancer Research 1.7k
- Molecular Biology 5.5k
- Hematology 345
- Genetics 832
- Oncology 650
Countries citing papers authored by Gerda Egger
This map shows the geographic impact of Gerda Egger'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 Gerda Egger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerda Egger more than expected).
Fields of papers citing papers by Gerda Egger
This network shows the impact of papers produced by Gerda Egger. 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 Gerda Egger. The network helps show where Gerda Egger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gerda Egger, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 1 | |
| 12 | 2013 | 59 | |
| 13 | 2009 | 57 | |
| 14 | 2009 | 144 | |
| 15 | 2008 | 70 | |
| 16 | 2007 | 54 | |
| 17 | 2006 | 166 | |
| 18 | RUNX3: Promoter 1 methylation status | 2006 | 1 |
| 19 | 2006 | 220 | |
| 20 | 2006 | 57 |
About Gerda Egger
Gerda Egger is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 66 papers that have together received 6.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (27 papers), Histone Deacetylase Inhibitors Research (13 papers), Cancer-related gene regulation (10 papers), RNA modifications and cancer (10 papers), Genomics and Chromatin Dynamics (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Prostate Cancer Treatment and Research (6 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (5.5k citations) and Hematology (345 citations). Gerda Egger has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Peter A. Jones, Gangning Liang, Ana M. Aparicio, Yoshimasa Saito, Jody C. Chuang, Jeffrey M. Friedman, Gerhard A. Coetzee, Einav Nili Gal‐Yam, Christine B. Yoo and Joy Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Cancers, PLoS Genetics and Molecular and Cellular 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.