Tímea Pócza
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
- Genetics 9
- BRCA gene mutations in cancer 7
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 4
- Glioma Diagnosis and Treatment 2
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- Genetic factors in colorectal cancer 4
- Co-authors
- Attila Patócs (10 shared papers)Henriett Butz (10 shared papers)Anikó Bozsik (10 shared papers)J. Papp (10 shared papers)Edwin A. Deitch (1 shared paper)Leonóra Himer (1 shared paper)Balázs Csóka (1 shared paper)E. Sylvester Vizi (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)Cancers (3 papers)The FASEB Journal (1 paper)Cell (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
Tímea Pócza
19 papers receiving 830 citations
Tímea Pócza's Hit Papers
Peers
Comparison fields: 5 of 66
- Genetics 222
- Reproductive Medicine 91
- Physiology 52
- Cancer Research 114
- Genetics 202
Countries citing papers authored by Tímea Pócza
This map shows the geographic impact of Tímea Pócza'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 Tímea Pócza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tímea Pócza more than expected).
Fields of papers citing papers by Tímea Pócza
This network shows the impact of papers produced by Tímea Pócza. 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 Tímea Pócza. The network helps show where Tímea Pócza may publish in the future.
Co-authors
The 25 scholars most cited alongside Tímea Pócza, 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 | Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer Hit paper breakdown → | 2017 | 355 |
| 2 | 2016 | 275 | |
| 3 | 2010 | 63 | |
| 4 | 2019 | 35 | |
| 5 | 2020 | 16 | |
| 6 | 2014 | 13 | |
| 7 | 2024 | 13 | |
| 8 | 2016 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 10 | |
| 11 | 2021 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 0 |
About Tímea Pócza
Tímea Pócza is a scholar working on Genetics, Pathology and Forensic Medicine, Molecular Biology, Genetics and Cancer Research, having authored 20 papers that have together received 841 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (7 papers), RNA modifications and cancer (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (4 papers), Genetic factors in colorectal cancer (4 papers), CRISPR and Genetic Engineering (2 papers), Cancer Genomics and Diagnostics (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (222 citations), Reproductive Medicine (91 citations), Physiology (52 citations), Cancer Research (114 citations) and Genetics (202 citations). Tímea Pócza has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Attila Patócs, Henriett Butz, Anikó Bozsik, J. Papp, Edwin A. Deitch, Leonóra Himer, Balázs Csóka, E. Sylvester Vizi, Bruce Neil Cronstein and Zsolt Selmeczy. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, The FASEB Journal, Cell and Frontiers in Oncology.
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.