Gesa Walsemann

630 citations
6 papers · 524 · h-index 5

Impact in

    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
  • Physiology top 10%

Papers in

    • PARP inhibition in cancer therapy 2
    • Cancer-related Molecular Pathways 2
    • Genomics and Chromatin Dynamics 4
    • Chromatin Remodeling and Cancer 2
    • Cell death mechanisms and regulation 1
    • RNA Research and Splicing 1

Gesa Walsemann

6 papers receiving 509 citations

Peers

Gesa Walsemann
Comparison fields: 5 of 45
  • Oncology 157
  • Physiology 22
  • Molecular Biology 339
  • Geriatrics and Gerontology 18
  • Cancer Research 38
Replace Thomas H. Höger with:
Thomas H. Höger Germany
Caroline Bonet France
Judith C. Sporn United States
Giacomo Milletti Italy
Mario R. Fernandez United States
Þorkell Guðjόnsson Denmark
J A Sokoloski United States
Sergi Guerrero Llobet Netherlands
Godelieve Smeenk Netherlands
Edward J. Kim United States
Gesa Walsemann relative to Thomas H. Höger Germany Thomas H. Höger's profile →
Citations per field
00.5×1.7×
Thomas H. Höger · 1×
Citations per year

Countries citing papers authored by Gesa Walsemann

Since Specialization
Citations

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

Fields of papers citing papers by Gesa Walsemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2003232
2 2005136
3 200860
4 201448
5 200543
6 20055

About Gesa Walsemann

Gesa Walsemann is a scholar working on Oncology, Molecular Biology, Cell Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 524 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), PARP inhibition in cancer therapy (2 papers), Chromatin Remodeling and Cancer (2 papers), Cancer-related Molecular Pathways (2 papers), Skin and Cellular Biology Research (1 paper), Cell death mechanisms and regulation (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Oncology (157 citations), Physiology (22 citations), Molecular Biology (339 citations), Geriatrics and Gerontology (18 citations) and Cancer Research (38 citations). Gesa Walsemann has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Bernhard Lüscher, Juliane Lüscher‐Firzlaff, Jörg Vervoorts, Matthias Austen, Richard Lilischkis, Karen Dohmann, Sabine Rottmann, Elisabeth Kremmer, Regine Kraft and Christa Cerni. Their work appears in journals such as Genomics, Molecular and Cellular Biology, Cancer Research, Nucleic Acids Research and Oncogene.

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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