Katrin Trautmann

919 citations
26 papers · 766 · h-index 19

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances
  • Physiology top 2%
    • Adenosine and Purinergic Signaling

Papers in

    • S100 Proteins and Annexins 3
    • Renal and related cancers 2
    • Neuroinflammation and Neurodegeneration Mechanisms 8

Katrin Trautmann

26 papers receiving 744 citations

Peers

Katrin Trautmann
Comparison fields: 5 of 76
  • Neurology 230
  • Physiology 112
  • Developmental Neuroscience 78
  • Cellular and Molecular Neuroscience 194
  • Biological Psychiatry 20
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Citations per year

Countries citing papers authored by Katrin Trautmann

Since Specialization
Citations

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

Fields of papers citing papers by Katrin Trautmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200562
2 200058
3 200557
4 200653
5 200752
6 200751
7 200641
8 200536
9 200035
10 200534
11 200433
12 200432
13 201132
14 200130
15 200423
16 200920
17 200320
18 200519
19
Galectin-3 labeling correlates positively in tumor cells and negatively in endothelial cells with malignancy and poor prognosis in oligodendroglioma patients.
200219
20 200218

About Katrin Trautmann

Katrin Trautmann is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Immunology and Genetics, having authored 26 papers that have together received 766 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Adenosine and Purinergic Signaling (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Nerve injury and regeneration (3 papers), S100 Proteins and Annexins (3 papers), Immune Response and Inflammation (3 papers), Glioma Diagnosis and Treatment (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Neurology (230 citations), Physiology (112 citations), Developmental Neuroscience (78 citations), Cellular and Molecular Neuroscience (194 citations) and Biological Psychiatry (20 citations). Katrin Trautmann has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Hermann J. Schluesener, Richard Meyermann, Zhiren Zhang, Liang‐Hao Guo, Rudi Beschorner, Michael Burnet, Martin H. Deininger, Jens Schittenhelm, Sabine Conrad and Jan M. Schwab. Their work appears in journals such as Journal of Neuroimmunology, Neuroscience, Brain Research, Experimental Neurology and Histopathology.

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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