Olga Ujhelly
Impact in
- Oncology top 5%
- Drug Transport and Resistance Mechanisms
- Cancer Cells and Metastasis
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Pluripotent Stem Cells Research 9
- Genomics and Chromatin Dynamics 1
- Kruppel-like factors research 1
- Oncology 4
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Balázs Sarkadi (5 shared papers)András Váradi (5 shared papers)György Várady (4 shared papers)Katalin Német (4 shared papers)Csilla Özvegy‐Laczka (4 shared papers)Gÿorgý Kéri (2 shared papers)John D. Schuetz (2 shared papers)László Őrfi (1 shared paper)
- Journals
- Cellular Reprogramming (3 papers)Reproduction Fertility and Development (3 papers)Experimental Cell Research (2 papers)Journal of Biological Chemistry (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- HungaryNetherlandsGermany
In The Last Decade
Olga Ujhelly
15 papers receiving 771 citations
Peers
Comparison fields: 5 of 50
- Oncology 466
- Pharmacology 51
- Hematology 50
- Genetics 21
- Pulmonary and Respiratory Medicine 72
Countries citing papers authored by Olga Ujhelly
This map shows the geographic impact of Olga Ujhelly'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 Olga Ujhelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Ujhelly more than expected).
Fields of papers citing papers by Olga Ujhelly
This network shows the impact of papers produced by Olga Ujhelly. 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 Olga Ujhelly. The network helps show where Olga Ujhelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Olga Ujhelly, 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 | 2004 | 295 | |
| 2 | 2005 | 197 | |
| 3 | 2004 | 87 | |
| 4 | 2012 | 36 | |
| 5 | 2003 | 34 | |
| 6 | 2003 | 33 | |
| 7 | 2009 | 29 | |
| 8 | 2012 | 28 | |
| 9 | 2015 | 19 | |
| 10 | 2012 | 15 | |
| 11 | 2014 | 9 | |
| 12 | 2012 | 5 | |
| 13 | 2010 | 1 | |
| 14 | 2011 | 1 | |
| 15 | 2011 | 1 |
About Olga Ujhelly
Olga Ujhelly is a scholar working on Molecular Biology, Oncology, Genetics, Hematology and Nuclear Energy and Engineering, having authored 15 papers that have together received 790 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), Drug Transport and Resistance Mechanisms (4 papers), Genomics and Chromatin Dynamics (1 paper), Kruppel-like factors research (1 paper), Dermatological and Skeletal Disorders (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Oncology (466 citations), Pharmacology (51 citations), Hematology (50 citations), Genetics (21 citations) and Pulmonary and Respiratory Medicine (72 citations). Olga Ujhelly has collaborated with scholars based in Hungary, Netherlands and Germany. Frequent co-authors include Balázs Sarkadi, András Váradi, György Várady, Katalin Német, Csilla Özvegy‐Laczka, Gÿorgý Kéri, John D. Schuetz, László Őrfi, Tamás Hegedűs and László Homolya. Their work appears in journals such as Cellular Reprogramming, Reproduction Fertility and Development, Experimental Cell Research, Journal of Biological Chemistry and Human Gene Therapy.
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.