Eva Vidacs
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
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- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
Papers in
-
- Histone Deacetylase Inhibitors Research 6
- Protein Degradation and Inhibitors 5
- Ubiquitin and proteasome pathways 3
-
- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Ricky W. Johnstone (9 shared papers)Jake Shortt (3 shared papers)Johannes Zuber (4 shared papers)Gareth P. Gregory (3 shared papers)Lev M. Kats (3 shared papers)Marcus Lefebure (2 shared papers)Erwin M. Lee (1 shared paper)Peter Atadja (3 shared papers)
- Journals
- Cancer Research (2 papers)Clinical Epigenetics (1 paper)Journal of Animal Science (1 paper)Leukemia (1 paper)Immunology and Cell Biology (1 paper)
- Partner nations
- AustraliaUnited StatesAustria
In The Last Decade
Eva Vidacs
11 papers receiving 351 citations
Peers
Comparison fields: 5 of 57
- Hematology 116
- Molecular Biology 252
- Oncology 92
- Animal Science and Zoology 23
- Genetics 19
Countries citing papers authored by Eva Vidacs
This map shows the geographic impact of Eva Vidacs'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 Eva Vidacs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Vidacs more than expected).
Fields of papers citing papers by Eva Vidacs
This network shows the impact of papers produced by Eva Vidacs. 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 Eva Vidacs. The network helps show where Eva Vidacs may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Vidacs, 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 | 2015 | 83 | |
| 2 | 2016 | 50 | |
| 3 | 2015 | 47 | |
| 4 | 2013 | 42 | |
| 5 | 2020 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2017 | 23 | |
| 9 | 2015 | 16 | |
| 10 | 2013 | 11 | |
| 11 | 2019 | 4 |
About Eva Vidacs
Eva Vidacs is a scholar working on Molecular Biology, Hematology, Animal Science and Zoology, Oncology and Small Animals, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), Protein Degradation and Inhibitors (5 papers), Acute Myeloid Leukemia Research (3 papers), Ubiquitin and proteasome pathways (3 papers), Meat and Animal Product Quality (2 papers), Effects of Environmental Stressors on Livestock (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Hematology (116 citations), Molecular Biology (252 citations), Oncology (92 citations), Animal Science and Zoology (23 citations) and Genetics (19 citations). Eva Vidacs has collaborated with scholars based in Australia, United States and Austria. Frequent co-authors include Ricky W. Johnstone, Jake Shortt, Johannes Zuber, Gareth P. Gregory, Lev M. Kats, Marcus Lefebure, Erwin M. Lee, Peter Atadja, Adele Baker and Inge Verbrugge. Their work appears in journals such as Cancer Research, Clinical Epigenetics, Journal of Animal Science, Leukemia and Immunology and Cell 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.