Tímea Pócza

1.2k citations
15 papers · 126 · h-index 6

Impact in

  • Physiology top 10%
    • Adenosine and Purinergic Signaling
    • Immune Cell Function and Interaction

Papers in

    • BRCA gene mutations in cancer 6
    • Genomics and Rare Diseases 4
    • Genomic variations and chromosomal abnormalities 3
    • Hedgehog Signaling Pathway Studies 2
    • RNA modifications and cancer 2
    • CRISPR and Genetic Engineering 2

Tímea Pócza

12 papers receiving 125 citations

Peers

Tímea Pócza
Comparison fields: 5 of 43
  • Physiology 50
  • Immunology 33
  • Genetics 28
  • Neurology 8
  • Molecular Biology 62
Replace Viorica Raluca Contu with:
Viorica Raluca Contu Japan
Derek Dang United States
Michel‐Olivier Gratton Canada
Jiaoying Jia China
Emma V. Rusilowicz-Jones United Kingdom
Fabian Poetz Germany
Katsunori Imazumi Japan
Sara A. Wirth United States
Gozde Akgumus United States
Laëtitia Coudert Canada
Tímea Pócza relative to Viorica Raluca Contu Japan Viorica Raluca Contu's profile →
Citations per field
00.5×3.5×
Viorica Raluca Contu · 1×
Citations per year

Countries citing papers authored by Tímea Pócza

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tímea Pócza Line = papers co-authored together Tímea Pócza links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201060
2 201413
3 202013
4 20169
5 20177
6 20245
7 20215
8 20214
9 20243
10 20233
11 20233
12 20251
13 20250
14 20240
15
[Antiangiogenic treatment of pediatric CNS tumors in Hungary with the Kieran schedule].
20130

About Tímea Pócza

Tímea Pócza is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 15 papers that have together received 126 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), BRCA gene mutations in cancer (6 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Hedgehog Signaling Pathway Studies (2 papers), RNA modifications and cancer (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Physiology (50 citations), Immunology (33 citations), Genetics (28 citations), Neurology (8 citations) and Molecular Biology (62 citations). Tímea Pócza has collaborated with scholars based in Hungary, United States and Slovakia. Frequent co-authors include Attila Patócs, Henriett Butz, Bruce N. Cronstein, J. Papp, Anikó Bozsik, Balázs Koscsó, Leonóra Himer, Zsolt Selmeczy, Pál Pacher and Zoltán H. Németh. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Frontiers in Oncology, Life Sciences and Frontiers in Genetics.

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.

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