Katrin Trautmann

931 citations
26 papers · 813 · h-index 19

Impact in

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

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Adenosine and Purinergic Signaling 4

Katrin Trautmann

26 papers receiving 787 citations

Peers

Katrin Trautmann
Comparison fields: 5 of 76
  • Neurology 231
  • Physiology 115
  • Developmental Neuroscience 74
  • Cellular and Molecular Neuroscience 190
  • Biological Psychiatry 21
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Marta Boccazzi Italy
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Citations per field
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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 200564
2 200560
3 200057
4 200657
5 200754
6 200753
7 200641
8 200039
9 200437
10 200537
11 200535
12 200134
13 200433
14 201132
15 200324
16 200424
17 200922
18 200520
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 Neurology, Physiology, Developmental Neuroscience, Genetics and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 813 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Adenosine and Purinergic Signaling (4 papers), Glioma Diagnosis and Treatment (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Nerve injury and regeneration (3 papers), S100 Proteins and Annexins (3 papers), Immune Response and Inflammation (3 papers) and Neurological Complications and Syndromes (2 papers). The work is most often cited by research in Neurology (231 citations), Physiology (115 citations), Developmental Neuroscience (74 citations), Cellular and Molecular Neuroscience (190 citations) and Biological Psychiatry (21 citations). Katrin Trautmann has collaborated with scholars based in Germany, France and China. Frequent co-authors include Hermann J. Schluesener, Richard Meyermann, Zhiren Zhang, Liang‐Hao Guo, Rudi Beschorner, Michael W. M. Burnet, Martin Hermann Deininger, Jens Schittenhelm, Sabine Conrad and Jan Markus Schwab. Their work appears in journals such as Journal of Neuroimmunology, Brain Research, Neuroscience, Journal of Neuropathology & Experimental Neurology and Endocrine Pathology.

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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