Jasmin Taubenschmid

1.5k citations
10 papers · 992 indexed · 1 hit paper · h-index 9
Topics
Pluripotent Stem Cells Research (5 papers)Glycosylation and Glycoproteins Research (3 papers)CRISPR and Genetic Engineering (3 papers)

In The Last Decade

Jasmin Taubenschmid

10 papers receiving 978 citations

Hit Papers

Human blood vessel organoids as a model of diabetic vascu...20192026202120232019100200300400500

Peers

Jasmin Taubenschmid
Comparison fields: 5 of 96
  • Molecular Biology 703
  • Biomedical Engineering 245
  • Surgery 152
  • Oncology 97
  • Genetics 84
Replace Satoshi Yokota with:
Satoshi Yokota Japan
Yu-Hwai Tsai United States
Koos Rooijers Netherlands
Jixian Deng China
Isabel Arnold Germany
Elly M. M. Versteeg Netherlands
Sharif Moradi Iran
Cristina D’Aniello Italy
Perry L. Howard Canada
Sandeep Gopal Australia
Jasmin Taubenschmid relative to Satoshi Yokota Japan Satoshi Yokota's profile →
Citations per field
00.5×5.2×
Satoshi Yokota · 1×
Citations per year

Countries citing papers authored by Jasmin Taubenschmid

Since Specialization
Citations

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

Fields of papers citing papers by Jasmin Taubenschmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmin Taubenschmid

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmin Taubenschmid. A scholar is included among the top collaborators of Jasmin Taubenschmid 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 Jasmin Taubenschmid. Jasmin Taubenschmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 6
2 16
3 89
4
Human blood vessel organoids as a model of diabetic vasculopathybreakdown →
545
5 19
6 20
7 92
8 8
9 10
10 187

About Jasmin Taubenschmid

Jasmin Taubenschmid is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 10 papers that have together received 992 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Biology (703 citations), Aging (13 citations) and Developmental Neuroscience (26 citations). Jasmin Taubenschmid has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Josef Penninger, Johannes Zuber, Juergen A. Knoblich, Christopher Esk, Maria Novatchkova, Fengtang Yang, Brigitte Hantusch, Nikolaus Wick, Martin Aichinger and Joshua A. Bagley. Their work appears in journals such as Nature, Cell stem cell and Science Advances.

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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