Franziska Nitzsche

957 citations
10 papers · 744 · h-index 10

Impact in

Papers in

    • Mesenchymal stem cell research 8
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Transcranial Magnetic Stimulation Studies 1

Franziska Nitzsche

10 papers receiving 739 citations

Peers

Franziska Nitzsche
Comparison fields: 5 of 73
  • Genetics 458
  • Developmental Neuroscience 108
  • Neurology 112
  • Biomaterials 92
  • Rehabilitation 48
Replace Taís Hanae Kasai-Brunswick with:
Taís Hanae Kasai-Brunswick Brazil
James Lennon United States
Wenbin Liao United States
Adam Nowakowski Poland
Silvia Musio Italy
Sachie Hirai Japan
Yoshihiro Kushida Japan
Jade Borneman United States
Tim Vangansewinkel Belgium
Tomoyuki Yoshihara Japan
Franziska Nitzsche relative to Taís Hanae Kasai-Brunswick Brazil Taís Hanae Kasai-Brunswick's profile →
Citations per field
00.5×1.6×
Taís Hanae Kasai-Brunswick · 1×
Citations per year

Countries citing papers authored by Franziska Nitzsche

Since Specialization
Citations

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

Fields of papers citing papers by Franziska Nitzsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2017301
2 2015166
3 200989
4 201751
5 201340
6 201728
7 201725
8 202023
9
Combined enriched environment÷atipamezole treatment transiently improves sensory functions in stroke rats independent from neurogenesis and angiogenesis.
201512
10 20219

About Franziska Nitzsche

Franziska Nitzsche is a scholar working on Genetics, Neurology, Biomaterials, Developmental Neuroscience and Molecular Biology, having authored 10 papers that have together received 744 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Acute Ischemic Stroke Management (2 papers), Stroke Rehabilitation and Recovery (1 paper), Transcranial Magnetic Stimulation Studies (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Genetics (458 citations), Developmental Neuroscience (108 citations), Neurology (112 citations), Biomaterials (92 citations) and Rehabilitation (48 citations). Franziska Nitzsche has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Johannes Boltze, Jukka Jolkkonen, Barbara Łukomska, Claudia Müller, Alexander Deten, Erja Kerkelä, Adam Nowakowski, Mirosław Janowski, Piotr Walczak and A Andrzejewska. Their work appears in journals such as Stem Cells, Scientific Reports, Behavioural Brain Research, Brain Research and Stroke.

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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