Sven Lindner

1.4k citations
9 papers · 417 · h-index 9

Impact in

  • Neurology top 10%
    • Neuroblastoma Research and Treatments
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Protein Degradation and Inhibitors 2
    • Cell death mechanisms and regulation 2
    • Ubiquitin and proteasome pathways 2
    • Chromatin Remodeling and Cancer 1
    • Neuroblastoma Research and Treatments 6

Sven Lindner

9 papers receiving 417 citations

Peers

Sven Lindner
Comparison fields: 5 of 62
  • Neurology 121
  • Cancer Research 91
  • Molecular Biology 344
  • Cell Biology 43
  • Oncology 70
Replace Valentina Fodale with:
Valentina Fodale Italy
E Koeneke Germany
Ana Roscic Switzerland
Susanna Ambrosio Italy
Peter J. Huwe United States
Bernhard Heine Germany
Tatjana Starzetz Germany
Thea L. Willis United Kingdom
Sophie Aubert France
Marie France Poupon France
Sven Lindner relative to Valentina Fodale Italy Valentina Fodale's profile →
Citations per field
00.5×2.7×
Valentina Fodale · 1×
Citations per year

Countries citing papers authored by Sven Lindner

Since Specialization
Citations

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

Fields of papers citing papers by Sven Lindner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013165
2 201468
3 201556
4 201631
5 201526
6 201421
7 201920
8 201420
9 201610

About Sven Lindner

Sven Lindner is a scholar working on Molecular Biology, Neurology, Genetics, Oncology and Epidemiology, having authored 9 papers that have together received 417 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (6 papers), Protein Degradation and Inhibitors (2 papers), Cell death mechanisms and regulation (2 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (1 paper), Autophagy in Disease and Therapy (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Neurology (121 citations), Cancer Research (91 citations), Molecular Biology (344 citations), Cell Biology (43 citations) and Oncology (70 citations). Sven Lindner has collaborated with scholars based in Germany, South Korea and United Kingdom. Frequent co-authors include Johannes H. Schulte, Angelika Eggert, Alexander Schramm, Andrea Odersky, Hedwig E. Deubzer, Christian Eckert, Till Milde, Nathan Brady, Barbara C. Böck and Marcel Kool. Their work appears in journals such as Oncotarget, Biomedical Reports, Cancer Letters, Human Molecular Genetics and The Cerebellum.

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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