Barbara Treutlein

13.4k total citations · 9 hit papers
73 papers, 7.4k citations indexed

About

Barbara Treutlein is a scholar working on Molecular Biology, Cancer Research and Developmental Neuroscience. According to data from OpenAlex, Barbara Treutlein has authored 73 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Developmental Neuroscience. Recurrent topics in Barbara Treutlein's work include Single-cell and spatial transcriptomics (39 papers), Pluripotent Stem Cells Research (19 papers) and CRISPR and Genetic Engineering (11 papers). Barbara Treutlein is often cited by papers focused on Single-cell and spatial transcriptomics (39 papers), Pluripotent Stem Cells Research (19 papers) and CRISPR and Genetic Engineering (11 papers). Barbara Treutlein collaborates with scholars based in Germany, Switzerland and United States. Barbara Treutlein's co-authors include J. Gray Camp, Stephen R. Quake, Norma Neff, Gary L. Mantalas, Angela Ruohao Wu, Douglas Brownfield, Sabina Kanton, Tobias Gerber, Tushar Desai and Mark A. Krasnow and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Barbara Treutlein

70 papers receiving 7.4k citations

Hit Papers

Reconstructing lineage hierarchies of the distal lung epi... 2013 2026 2017 2021 2014 2015 2013 2014 2019 250 500 750

Peers

Barbara Treutlein
Comparison fields: 5 of 150
  • Molecular Biology 5.6k
  • Biomedical Engineering 903
  • Cancer Research 818
  • Pulmonary and Respiratory Medicine 742
  • Surgery 715
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Citations per field, relative to Barbara Treutlein
Barbara Treutlein · 1×
Citations per year, relative to Barbara Treutlein
Barbara Treutlein · 1×

Countries citing papers authored by Barbara Treutlein

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Treutlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Treutlein

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Treutlein. A scholar is included among the top collaborators of Barbara Treutlein 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 Barbara Treutlein. Barbara Treutlein 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
# Work Indexed citations
1 8
2 0
3 5
4
Single-cell brain organoid screening identifies developmental defects in autism breakdown →
122
5 1
6 1
7 20
8
A nomenclature consensus for nervous system organoids and assembloids breakdown →
171
9
Inferring and perturbing cell fate regulomes in human brain organoids breakdown →
145
10 6
11 13
12 82
13 12
14 259
15 66
16 137
17 39
18 95
19 321
20
Human cerebral organoids recapitulate gene expression programs of fetal neocortex development breakdown →
767

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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