Doris Niewolik

628 citations
8 papers · 495 · h-index 8

Impact in

    • Cancer-related Molecular Pathways
    • Polyomavirus and related diseases
    • PARP inhibition in cancer therapy
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • DNA and Nucleic Acid Chemistry
    • Cancer therapeutics and mechanisms

Papers in

    • DNA Repair Mechanisms 6
    • DNA and Nucleic Acid Chemistry 2
    • CRISPR and Genetic Engineering 2
    • Cancer-related Molecular Pathways 2

Doris Niewolik

8 papers receiving 493 citations

Peers

Doris Niewolik
Comparison fields: 5 of 44
  • Oncology 193
  • Molecular Biology 431
  • Structural Biology 7
  • Cancer Research 52
  • Cell Biology 49
Replace Gruber-Eber Anita with:
Gruber-Eber Anita Germany
Mathias Orban Germany
Christine Polte Germany
Peter Haahr Denmark
H. Aitkenhead United Kingdom
M M Georgescu United States
Theresa Allio United States
Daniel Latreille France
Nadia Naski France
Gabor Rohaly Germany
Doris Niewolik relative to Gruber-Eber Anita Germany Gruber-Eber Anita's profile →
Citations per field
00.5×3.5×
Gruber-Eber Anita · 1×
Citations per year

Countries citing papers authored by Doris Niewolik

Since Specialization
Citations

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

Fields of papers citing papers by Doris Niewolik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Doris Niewolik, 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 Doris Niewolik Line = papers co-authored together Doris Niewolik links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005111
2 2004108
3 200691
4
p53 derived from human tumour cell lines and containing distinct point mutations can be activated to bind its consensus target sequence.
199552
5 201050
6 201445
7 201721
8 202217

About Doris Niewolik

Doris Niewolik is a scholar working on Molecular Biology, Oncology, Epidemiology, Virology and Transplantation, having authored 8 papers that have together received 495 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Cancer-related Molecular Pathways (2 papers), DNA and Nucleic Acid Chemistry (2 papers), CRISPR and Genetic Engineering (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Trace Elements in Health (1 paper), HIV Research and Treatment (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Oncology (193 citations), Molecular Biology (431 citations), Structural Biology (7 citations), Cancer Research (52 citations) and Cell Biology (49 citations). Doris Niewolik has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Klaus Schwarz, Michael R. Lieber, Ulrich Pannicke, Yunmei Ma, Haihui Lu, Karl‐Peter Hopfner, Jan Kovařík, Bořivoj Vojtěšek, Ebrahim Zandi and Peter Kulesza. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, The EMBO Journal, DNA repair and PubMed.

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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