Éva Forgács
Impact in
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research
- Cellular Mechanics and Interactions
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Muscle Physiology and Disorders
- PI3K/AKT/mTOR signaling in cancer
Papers in
-
- Art, Politics, and Modernism 5
- Co-authors
- John D. MinnaYoshitaka SekidoHoward D. WhiteFarida LatifAdi F. GazdarSara MilchgrubKwun M. FongSabine Zöchbauer‐Müller
- Journals
- Journal of Biological Chemistry (8 papers)Oncogene (3 papers)Nature (2 papers)Biochemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Éva Forgács
33 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cell Biology 481
- Molecular Biology 1.7k
- Cardiology and Cardiovascular Medicine 461
- Cancer Research 256
- Structural Biology 23
Countries citing papers authored by Éva Forgács
This map shows the geographic impact of Éva Forgács'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 Éva Forgács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éva Forgács more than expected).
Fields of papers citing papers by Éva Forgács
This network shows the impact of papers produced by Éva Forgács. 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 Éva Forgács. The network helps show where Éva Forgács may publish in the future.
Co-authors
The 25 scholars most cited alongside Éva Forgács, 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 | 6 | |
| 2 | 2022 | 1 | |
| 3 | 2015 | 82 | |
| 4 | 2015 | 67 | |
| 5 | 2013 | 2 | |
| 6 | 2011 | 19 | |
| 7 | 2008 | 33 | |
| 8 | 2008 | 103 | |
| 9 | 2007 | 42 | |
| 10 | 2002 | 94 | |
| 11 | 2001 | 257 | |
| 12 | 2001 | 61 | |
| 13 | 2001 | 17 | |
| 14 | Epigenetic Inactivation of RASSF1A in Lung and Breast Cancers and Malignant Phenotype Suppression Hit paper breakdown → | 2001 | 659 |
| 15 | 2000 | 125 | |
| 16 | 2000 | 30 | |
| 17 | 1998 | 166 | |
| 18 | 1997 | 25 | |
| 19 | 1995 | 2 | |
| 20 | 1995 | 1 |
About Éva Forgács
Éva Forgács is a scholar working on Architecture, Visual Arts and Performing Arts, Cardiology and Cardiovascular Medicine, Cell Biology and Virology, having authored 39 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (13 papers), Muscle Physiology and Disorders (7 papers), Cardiovascular Effects of Exercise (7 papers), Art, Politics, and Modernism (5 papers), Force Microscopy Techniques and Applications (4 papers), Genetic factors in colorectal cancer (4 papers), Cellular Mechanics and Interactions (4 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Cell Biology (481 citations), Molecular Biology (1.7k citations), Cardiology and Cardiovascular Medicine (461 citations), Cancer Research (256 citations) and Structural Biology (23 citations). Éva Forgács has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include John D. Minna, Yoshitaka Sekido, Howard D. White, Farida Latif, Adi F. Gazdar, Sara Milchgrub, Kwun M. Fong, Sabine Zöchbauer‐Müller, Donald A. Winkelmann and James R. Sellers. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, Nature, Biochemistry and Proceedings of the National Academy of Sciences.
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.