Julia Karow

2.5k citations
13 papers · 2.2k · h-index 9

Impact in

    • Carcinogens and Genotoxicity Assessment
    • DNA Repair Mechanisms
    • DNA and Nucleic Acid Chemistry
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • Advanced biosensing and bioanalysis techniques

Papers in

    • DNA Repair Mechanisms 8
    • Epigenetics and DNA Methylation 3
    • Genomics and Chromatin Dynamics 2
    • DNA and Nucleic Acid Chemistry 2
    • Plant Genetic and Mutation Studies 2

Julia Karow

11 papers receiving 2.1k citations

Peers

Julia Karow
Comparison fields: 5 of 71
  • Cancer Research 597
  • Molecular Biology 2.1k
  • Aging 33
  • Plant Science 429
  • Cell Biology 175
Replace Kelly M. Trujillo with:
Kelly M. Trujillo United States
Ashwini S. Kamath‐Loeb United States
Stephen Van Komen United States
Pietro Pichierri Italy
Irina I. Dianova United Kingdom
Charly Chahwan United States
Martin E. Budd United States
E L Ivanov United States
Joel E. Straughen United States
Belén Gómez‐González Spain
Julia Karow relative to Kelly M. Trujillo United States Kelly M. Trujillo's profile →
Citations per field
00.5×1.5×2.1×
Kelly M. Trujillo · 1×
Citations per year

Countries citing papers authored by Julia Karow

Since Specialization
Citations

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

Fields of papers citing papers by Julia Karow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Julia Karow, 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 Julia Karow Line = papers co-authored together Julia Karow links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1998462
2 2000430
3 2000335
4 1997327
5 2000267
6 2000161
7 1999120
8 199647
9 199927
10 20015
11 20001
12 20170
13 20000

About Julia Karow

Julia Karow is a scholar working on Molecular Biology, Plant Science, Cancer Research, Process Chemistry and Technology and Oncology, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Epigenetics and DNA Methylation (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Genomics and Chromatin Dynamics (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Plant Genetic and Mutation Studies (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cancer Research (597 citations), Molecular Biology (2.1k citations), Aging (33 citations), Plant Science (429 citations) and Cell Biology (175 citations). Julia Karow has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ian D. Hickson, Stephen C. West, Angelos Constantinou, Jiliang Li, Nancy Maizels, Hui Sun, Ronjon Chakraverty, Vilhelm A. Bohr, Robert M. Brosh and Leonard Wu. Their work appears in journals such as Scientific American, Journal of Biological Chemistry, Current Biology, EMBO Reports and Proceedings of the National Academy of Sciences.

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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