Silvia Seubert

598 citations
7 papers · 396 · h-index 6

Impact in

Papers in

    • Immunotherapy and Immune Responses 1
    • Toxin Mechanisms and Immunotoxins 1
    • T-cell and B-cell Immunology 1
    • 14-3-3 protein interactions 1

Silvia Seubert

7 papers receiving 389 citations

Peers

Silvia Seubert
Comparison fields: 5 of 70
  • Developmental Neuroscience 30
  • Neurology 58
  • Immunology 142
  • Pathology and Forensic Medicine 92
  • Biological Psychiatry 9
Replace Chang-Sung Koh with:
Chang-Sung Koh Japan
Dallas Boodhoo United States
Т И Хайбуллин Russia
Annette van der Goes Netherlands
Toshiki Fujioka Japan
Carolina Cruciani Italy
Helena Slaets Belgium
M Spatz United States
Xiaoyi Shao China
Sunny Malhotra Spain
Silvia Seubert relative to Chang-Sung Koh Japan Chang-Sung Koh's profile →
Citations per field
00.5×1.5×2.3×
Chang-Sung Koh · 1×
Citations per year

Countries citing papers authored by Silvia Seubert

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Seubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2009157
2 2011116
3 200249
4 200835
5 201720
6 201514
7 20025

About Silvia Seubert

Silvia Seubert is a scholar working on Immunology, Molecular Biology, Oncology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 7 papers that have together received 396 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Sodium Intake and Health (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Immunotherapy and Immune Responses (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), T-cell and B-cell Immunology (1 paper), 14-3-3 protein interactions (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Developmental Neuroscience (30 citations), Neurology (58 citations), Immunology (142 citations), Pathology and Forensic Medicine (92 citations) and Biological Psychiatry (9 citations). Silvia Seubert has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Ralf A. Linker, Ralf Gold, Gisa Ellrichmann, De-Hyung Lee, Arndt Manzel, Dominik N. Müller, Heda Kvakan, Stefanie Gaupp, Lars Christian Rump and Johannes Stegbauer. Their work appears in journals such as Journal of Neuroimmunology, Proceedings of the National Academy of Sciences, The Journal of Immunology, Histochemistry and Cell Biology and Journal of Neuroinflammation.

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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