Sven Brenner

934 citations
8 papers · 189 · h-index 7

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • RNA modifications and cancer 2
    • RNA Interference and Gene Delivery 1
    • Metabolism, Diabetes, and Cancer 1
    • T-cell and B-cell Immunology 1

Sven Brenner

7 papers receiving 188 citations

Peers

Sven Brenner
Comparison fields: 5 of 37
  • Cancer Research 54
  • Immunology 44
  • Molecular Biology 132
  • Endocrinology, Diabetes and Metabolism 20
  • Endocrine and Autonomic Systems 5
Replace Jason T. C. Lee with:
Jason T. C. Lee United States
Borbala Katona Sweden
Abigail E. Ellis United States
James Veitch United States
Dana L. Shkolny Canada
Samuel Shields United Kingdom
Dai‐Ying Wu United States
Damir Dosymbekov Russia
Brian M. Larsen United States
Sven Brenner relative to Jason T. C. Lee United States Jason T. C. Lee's profile →
Citations per field
00.5×2.6×
Jason T. C. Lee · 1×
Citations per year

Countries citing papers authored by Sven Brenner

Since Specialization
Citations

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

Fields of papers citing papers by Sven Brenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201844
2 201642
3 201829
4 201625
5 199724
6 199416
7 20119
8 20140

About Sven Brenner

Sven Brenner is a scholar working on Molecular Biology, Immunology, Surgery, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 189 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), Neuropeptides and Animal Physiology (1 paper), Genetic Syndromes and Imprinting (1 paper), T-cell and B-cell Immunology (1 paper), RNA Interference and Gene Delivery (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (54 citations), Immunology (44 citations), Molecular Biology (132 citations), Endocrinology, Diabetes and Metabolism (20 citations) and Endocrine and Autonomic Systems (5 citations). Sven Brenner has collaborated with scholars based in Germany, Switzerland and Australia. Frequent co-authors include Vigo Heissmeyer, Mihaela Zavolan, Andreas Schlundt, Tom McDonald, David J. Hill, Michael Sattler, Dierk Niessing, Gesine Behrens, Jörg Hackermüller and Anne Hoffmann. Their work appears in journals such as Nature Communications, Molecular and Cellular Pediatrics, The EMBO Journal, Journal of Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.

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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