Anja Uhmann

960 citations
33 papers · 737 · h-index 16

Impact in

  • Dermatology top 10%
    • Cancer and Skin Lesions
    • Hedgehog Signaling Pathway Studies
    • Epigenetics and DNA Methylation
    • Histone Deacetylase Inhibitors Research

Papers in

    • Cancer and Skin Lesions 4
    • Hedgehog Signaling Pathway Studies 22
    • Epigenetics and DNA Methylation 7
    • Genomics and Chromatin Dynamics 2
    • Cancer-related gene regulation 2

Anja Uhmann

30 papers receiving 728 citations

Peers

Anja Uhmann
Comparison fields: 5 of 70
  • Dermatology 72
  • Molecular Biology 498
  • Pathology and Forensic Medicine 112
  • Genetics 154
  • Oncology 132
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Anja Uhmann relative to Frauke Nitzki Germany Frauke Nitzki's profile →
Citations per field
00.5×2×3×4×
Frauke Nitzki · 1×
Citations per year

Countries citing papers authored by Anja Uhmann

Since Specialization
Citations

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

Fields of papers citing papers by Anja Uhmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 200782
3 200982
4 201161
5 200939
6 201637
7 201036
8 201231
9 201430
10 201728
11 201927
12
A model for PTCH1/Ptch1-associated tumors comprising mutational inactivation and gene silencing.
200525
13 201219
14 201217
15 201316
16 202016
17 201114
18 201313
19 201511
20 201811

About Anja Uhmann

Anja Uhmann is a scholar working on Dermatology, Molecular Biology, Pathology and Forensic Medicine, Oral Surgery and Genetics, having authored 33 papers that have together received 737 indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (22 papers), Epigenetics and DNA Methylation (7 papers), Tumors and Oncological Cases (7 papers), Cancer and Skin Lesions (4 papers), Genetic and rare skin diseases. (3 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Dermatology (72 citations), Molecular Biology (498 citations), Pathology and Forensic Medicine (112 citations), Genetics (154 citations) and Oncology (132 citations). Anja Uhmann has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Heidi Hahn, Walter Schulz‐Schaeffer, Frauke Nitzki, Kai Dittmann, Albert Rosenberger, Christian Dullin, Arne Zibat, Mark Wijgerde, Leszek Wojnowski and Gijs R. van den Brink. Their work appears in journals such as Gastroenterology, Journal of Investigative Dermatology, Cancer Research, International Journal of Molecular Sciences and PLoS ONE.

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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