Annette Tennstaedt

931 citations
12 papers · 757 indexed · h-index 11
  • Neurology top 10%
    • Cerebrovascular and genetic disorders 3
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Neurological diseases and metabolism 2
  • Neurology top 10%
    • Cerebrovascular and genetic disorders 3
    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Neurological diseases and metabolism 2
  • Physiology top 10%
    • Pluripotent Stem Cells Research 2
    • bioluminescence and chemiluminescence research 2
    • Neuroscience and Neural Engineering 2
    • Photoreceptor and optogenetics research 2
    • Immune cells in cancer 2

Annette Tennstaedt

12 papers receiving 749 citations

Peers

Annette Tennstaedt
Comparison fields: 5 of 83
  • Neurology 127
  • Neurology 167
  • Developmental Neuroscience 35
  • Physiology 190
  • Molecular Biology 388
Replace Shailendra K. Sahu with:
Shailendra K. Sahu United States
Maj Schneider Thomsen Denmark
Daniele Cartelli Italy
Hisae Sumi Japan
Mariangela Iovino United Kingdom
April M. Weissmiller United States
Jesse M. Hunter United States
Maura E. Charlton United States
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Annette Tennstaedt relative to Shailendra K. Sahu United States Shailendra K. Sahu's profile →
Citations per field
00.5×3.3×
Shailendra K. Sahu · 1×
Citations per year

Countries citing papers authored by Annette Tennstaedt

Since Specialization
Citations

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

Fields of papers citing papers by Annette Tennstaedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20167
2 201675
3 201516
4 201538
5 201420
6 201430
7 201319
8 201346
9 201273
10 2011101
11 2011246
12 200886

About Annette Tennstaedt

Annette Tennstaedt is a scholar working on Neurology, Developmental Neuroscience and Clinical Biochemistry, having authored 12 papers that have together received 757 indexed citations. Recurring topics across this work include Cerebrovascular and genetic disorders (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (2 papers), Pluripotent Stem Cells Research (2 papers), Neurological diseases and metabolism (2 papers), bioluminescence and chemiluminescence research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Neurology (127 citations), Neurology (167 citations) and Developmental Neuroscience (35 citations). Annette Tennstaedt has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Michael Ehrmann, Markus Aswendt, Mathias Hoehn, Joanna Adamczak, Tim Clausen, Linda Truebestein, Markus Kaiser, Gal Bitan, Sharmistha Sinha and Dahabada H. J. Lopes.

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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