Uwe Werling

2.0k citations
16 papers · 1.5k indexed · h-index 13

Impact in

    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • Pluripotent Stem Cells Research
    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • Congenital heart defects research
  • Genetics top 10%

Papers in

Uwe Werling

16 papers receiving 1.5k citations

Peers

Uwe Werling
Comparison fields: 5 of 95
  • Molecular Biology 1.2k
  • Genetics 335
  • Cancer Research 161
  • Pathology and Forensic Medicine 173
  • Aging 14
Replace T S Papas with:
T S Papas United States
Tomoko Takahashi Japan
Sergey G. Kuznetsov Finland
Graciela Spivak United States
Mark Stapleton United States
Hua-Ying Fan United States
C. Chen United States
Vesela Encheva United Kingdom
Kristi L. Neufeld United States
Masahide Seki Japan
Uwe Werling relative to T S Papas United States T S Papas's profile →
Citations per field
00.5×11.7×
T S Papas · 1×
Citations per year

Countries citing papers authored by Uwe Werling

Since Specialization
Citations

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

Fields of papers citing papers by Uwe Werling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 201363
2 2012377
3 201237
4 201056
5 2009154
6 200894
7 200820
8 200812
9 2006122
10 2004151
11
Transcription factor AP-2gamma stimulates proliferation and apoptosis and impairs differentiation in a transgenic model.
200353
12 20028
13 2002136
14 2002154
15 200156
16 20015

About Uwe Werling

Uwe Werling is a scholar working on Physiology, Sensory Systems, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Genetic factors in colorectal cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Bacterial Genetics and Biotechnology (3 papers), T-cell and B-cell Immunology (3 papers), Bacteriophages and microbial interactions (2 papers), Reproductive Biology and Fertility (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Genetics (335 citations), Cancer Research (161 citations), Pathology and Forensic Medicine (173 citations) and Aging (14 citations). Uwe Werling has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Winfried Edelmann, Yongwei Zhang, Hubert Schorle, Elena Avdievich, Martin Lipkin, Kan Yang, Bo Jin, Yongwei Zhang, Matthew D. Scharff and Sergio Roa. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Molecular Pharmacology, Chromosome Research and Biology of Reproduction.

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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