Silke E. Lindner

468 citations
9 papers · 349 · h-index 7

Impact in

    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways
    • MicroRNA in disease regulation

Papers in

    • Cell death mechanisms and regulation 3
    • RNA Interference and Gene Delivery 2
    • Circular RNAs in diseases 2
    • DNA Repair Mechanisms 1
    • Glycosylation and Glycoproteins Research 1
    • Ubiquitin and proteasome pathways 1
    • Cancer-related Molecular Pathways 3

Silke E. Lindner

9 papers receiving 343 citations

Peers

Silke E. Lindner
Comparison fields: 5 of 50
  • Oncology 176
  • Cancer Research 58
  • Immunology 73
  • Molecular Biology 206
  • Geriatrics and Gerontology 5
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Nikolai D. Aksenov Russia
Valentina Montagnani Italy
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Annamarie C. Dalton United States
M. Cristina Castañeda‐Patlán Mexico
Mallika Ramakrishnan Germany
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Citations per field
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Citations per year

Countries citing papers authored by Silke E. Lindner

Since Specialization
Citations

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

Fields of papers citing papers by Silke E. Lindner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silke E. Lindner. 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 Silke E. Lindner. The network helps show where Silke E. Lindner may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2020113
2 2011107
3 201731
4 201727
5 201526
6
Relationship of sequence-specific transactivation and p53-regulated apoptosis in interleukin 3-dependent hematopoietic cells.
199626
7 20229
8 20136
9 20204

About Silke E. Lindner

Silke E. Lindner is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Hematology, having authored 9 papers that have together received 349 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Cancer-related Molecular Pathways (3 papers), MicroRNA in disease regulation (3 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers), DNA Repair Mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Oncology (176 citations), Cancer Research (58 citations), Immunology (73 citations), Molecular Biology (206 citations) and Geriatrics and Gerontology (5 citations). Silke E. Lindner has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Leo D. Wang, Christine E. Brown, Shereé M. Johnson, Andreas Villunger, Sebastian Herzog, Moshe Oren, Eyal Gottlieb, Manuela Wissler, Christoph Borner and Céline Charvet. Their work appears in journals such as Nature Communications, Molecular Cell, ImmunoHorizons, EMBO Reports and Life Science Alliance.

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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