Ewa Gogola

5.5k citations
11 papers · 841 · h-index 9

Impact in

  • Oncology top 5%
    • PARP inhibition in cancer therapy
    • Cancer Cells and Metastasis
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics

Papers in

    • DNA Repair Mechanisms 6
    • CRISPR and Genetic Engineering 6
    • Epigenetics and DNA Methylation 1
    • Pluripotent Stem Cells Research 1
    • Cancer therapeutics and mechanisms 1
    • Genomics, phytochemicals, and oxidative stress 1
    • PARP inhibition in cancer therapy 6

Ewa Gogola

11 papers receiving 839 citations

Peers

Ewa Gogola
Comparison fields: 5 of 61
  • Oncology 559
  • Molecular Biology 640
  • Cancer Research 93
  • Reproductive Medicine 38
  • Genetics 95
Replace Hatice Yücel with:
Hatice Yücel Netherlands
Benjamin Primack United States
Khyati Meghani United States
Niraj Joshi Canada
Connor S. Clairmont United States
Dongxue Su China
Tanya M. Braumuller Netherlands
Ponnari Gottipati United Kingdom
Rinske Drost Netherlands
Arne Nedergaard Kousholt Denmark
Ewa Gogola relative to Hatice Yücel Netherlands Hatice Yücel's profile →
Citations per field
00.5×2.6×
Hatice Yücel · 1×
Citations per year

Countries citing papers authored by Ewa Gogola

Since Specialization
Citations

This map shows the geographic impact of Ewa Gogola'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 Ewa Gogola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Gogola more than expected).

Fields of papers citing papers by Ewa Gogola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ewa Gogola. 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 Ewa Gogola. The network helps show where Ewa Gogola may publish in the future.

Co-authors

The 25 scholars most cited alongside Ewa Gogola, 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 Ewa Gogola Line = papers co-authored together Ewa Gogola links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017263
2 2018105
3 2015103
4 201799
5 201789
6 201863
7 201649
8 201845
9 202416
10 20238
11 20171

About Ewa Gogola

Ewa Gogola is a scholar working on Molecular Biology, Oncology, Biotechnology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 11 papers that have together received 841 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), CRISPR and Genetic Engineering (6 papers), PARP inhibition in cancer therapy (6 papers), Epigenetics and DNA Methylation (1 paper), Pluripotent Stem Cells Research (1 paper), Chromosomal and Genetic Variations (1 paper), Cancer therapeutics and mechanisms (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Oncology (559 citations), Molecular Biology (640 citations), Cancer Research (93 citations), Reproductive Medicine (38 citations) and Genetics (95 citations). Ewa Gogola has collaborated with scholars based in Netherlands, Switzerland and United States. Frequent co-authors include Jos Jonkers, Sven Rottenberg, Marieke van de Ven, Alexandra A. Duarte, Panagiotis A. Konstantinopoulos, Hatice Yücel, Raphaël Ceccaldi, Beatrice Rondinelli, Alan D. D’Andrea and Sohvi Blatter. Their work appears in journals such as Cell Reports, Nature Communications, Science Advances, Stem Cells and Nature 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.

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