Tina Schwabe

2.1k citations
30 papers · 1.4k indexed · 1 hit paper · h-index 14
Topics
Neurobiology and Insect Physiology Research (8 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)Inflammation biomarkers and pathways (6 papers)

In The Last Decade

Tina Schwabe

29 papers receiving 1.4k citations

Hit Papers

Anti-human TREM2 induces microglia proliferation and redu...20202026202220242020100200300

Peers

Tina Schwabe
Comparison fields: 5 of 89
  • Neurology 629
  • Cellular and Molecular Neuroscience 498
  • Molecular Biology 445
  • Immunology 394
  • Physiology 301
Replace Ji Xu with:
Ji Xu China
Maria Concetta Miniaci Italy
Lavinia Albéri Switzerland
Okiru Komine Japan
Lucas Cheadle United States
Alison E. Mungenast United States
Zhonghui Guan United States
Rochelle M. Hines United States
Isabelle M. Mansuy Switzerland
Tina Schwabe relative to Ji Xu China Ji Xu's profile →
Citations per field
00.5×3.4×
Ji Xu · 1×
Citations per year

Countries citing papers authored by Tina Schwabe

Since Specialization
Citations

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

Fields of papers citing papers by Tina Schwabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Schwabe

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Schwabe. A scholar is included among the top collaborators of Tina Schwabe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tina Schwabe. Tina Schwabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 38
3 3
4 4
5 1
6 15
7 10
8 1
9 257
10
Anti-human TREM2 induces microglia proliferation and reduces pathology in an Alzheimer’s disease modelbreakdown →
345
11 58
12 2
13 2
14 39
15 38
16 52
17 7
18 183
19 186
20 90

About Tina Schwabe

Tina Schwabe is a scholar working on Neurology, Cellular and Molecular Neuroscience and Immunology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Inflammation biomarkers and pathways (6 papers). The work is most often cited by research in Neurology (629 citations), Biological Psychiatry (103 citations) and Aging (66 citations). Tina Schwabe has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Ulrike Gaul, Roland J. Bainton, Ulrike Heberlein, Hervé Rhinn, Arnon Rosenthal, Richard D. Fetter, Ilaria Tassi, Adiljan Ibrahim, Thomas R. Clandinin and Linus Tsai. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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