Barbara Treutlein

13.4k citations
73 papers · 7.4k indexed · 9 hit papers · h-index 39
Topics
Single-cell and spatial transcriptomics (39 papers)Pluripotent Stem Cells Research (19 papers)CRISPR and Genetic Engineering (11 papers)

In The Last Decade

Barbara Treutlein

70 papers receiving 7.4k citations

Hit Papers

Reconstructing lineage hierarchies of the distal lung epi...201320262017202120142015201320142019250500750

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
Replace Takaya Abe with:
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J. Gray Camp Switzerland
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Melissa Goldman United States
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Sandrine Etienne‐Manneville France
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Barbara Treutlein relative to Takaya Abe Japan Takaya Abe's profile →
Citations per field
00.5×2.7×
Takaya Abe · 1×
Citations per year

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
#WorkIndexed citations
1 8
2 0
3 5
4
Single-cell brain organoid screening identifies developmental defects in autismbreakdown →
122
5 1
6 1
7 20
8
A nomenclature consensus for nervous system organoids and assembloidsbreakdown →
171
9
Inferring and perturbing cell fate regulomes in human brain organoidsbreakdown →
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 developmentbreakdown →
767

About Barbara Treutlein

Barbara Treutlein is a scholar working on Developmental Neuroscience, Biophysics and Molecular Biology, having authored 73 papers that have together received 7.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (39 papers), Pluripotent Stem Cells Research (19 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Developmental Neuroscience (688 citations), Molecular Biology (5.6k citations) and Biophysics (439 citations). Barbara Treutlein has collaborated with scholars based in Germany, Switzerland and United States. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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