Friederike Ufer

1.3k citations
24 papers · 891 · h-index 13

Impact in

    • Ion Channels and Receptors
  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Immunotherapy and Immune Responses 6
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4
    • Immune Response and Inflammation 2

Friederike Ufer

24 papers receiving 881 citations

Peers

Friederike Ufer
Comparison fields: 5 of 90
  • Sensory Systems 144
  • Neurology 282
  • Neurology 124
  • Critical Care and Intensive Care Medicine 50
  • Biological Psychiatry 24
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Masakazu Kotoda Japan
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Citations per field
00.5×9.6×
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Citations per year

Countries citing papers authored by Friederike Ufer

Since Specialization
Citations

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

Fields of papers citing papers by Friederike Ufer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020248
2 2012167
3 2014125
4 201477
5 201834
6 202132
7 201631
8 201628
9 201525
10 202125
11 202021
12 201216
13 202014
14 201411
15 201511
16 20236
17 20245
18 20193
19 20213
20 20153

About Friederike Ufer

Friederike Ufer is a scholar working on Immunology, Molecular Biology, Pathology and Forensic Medicine, Neurology and Physiology, having authored 24 papers that have together received 891 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Multiple Sclerosis Research Studies (4 papers), Adenosine and Purinergic Signaling (3 papers), Autoimmune Neurological Disorders and Treatments (2 papers), Ion Channels and Receptors (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Sensory Systems (144 citations), Neurology (282 citations), Neurology (124 citations), Critical Care and Intensive Care Medicine (50 citations) and Biological Psychiatry (24 citations). Friederike Ufer has collaborated with scholars based in Germany, Slovakia and France. Frequent co-authors include Manuel A. Friese, Karin Steinbach, Christian Gerloff, Christoph Heesen, Jana Pöttgen, Marcel S. Woo, Nina Kursawe, Stefan Schmiedel, Julian Schulze zur Wiesch and Jakob Malsy. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, iScience, Science Immunology and Clinical Neurology and Neurosurgery.

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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