Lorenz Studer

35.9k citations
181 papers · 23.5k indexed · 12 hit papers · h-index 75

Lorenz Studer

174 papers receiving 23.1k citations

Hit Papers

Phase...25200020262008201750010001.5k2.0k2.5k

Peers

Lorenz Studer
Comparison fields: 5 of 154
  • Developmental Neuroscience 5.2k
  • Cellular and Molecular Neuroscience 7.1k
  • Molecular Biology 17.9k
  • Genetics 1.9k
  • Aging 316
Replace Mahendra S. Rao with:
Mahendra S. Rao United States
Clive N. Svendsen United States
Marius Wernig United States
Elena Cattaneo Italy
Ronald D.G. McKay United States
John A. Kessler United States
Urban Lendahl Sweden
Carmen Birchmeier Germany
David R. Kaplan Canada
Theo D. Palmer United States
Lorenz Studer relative to Mahendra S. Rao United States Mahendra S. Rao's profile →
Citations per field
00.5×1.5×2.5×
Mahendra S. Rao · 1×
Citations per year

Countries citing papers authored by Lorenz Studer

Since Specialization
Citations

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

Fields of papers citing papers by Lorenz Studer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Phase I trial of hES cell-derived dopaminergic neurons for Parkinson’s diseasebreakdown →
202525
2 202423
3 20246
4 20240
5 202418
6 202439
7 20232
8 202324
9
A nomenclature consensus for nervous system organoids and assembloidsbreakdown →
2022171
10 2021146
11 2021145
12 202114
13 202131
14 201923
15 201838
16 2018161
17 201823
18 201856
19 201726
20 201260

About Lorenz Studer

Lorenz Studer is a scholar working on Developmental Neuroscience, Aging, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 181 papers that have together received 23.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (117 papers), CRISPR and Genetic Engineering (62 papers), Neurogenesis and neuroplasticity mechanisms (37 papers), Nerve injury and regeneration (25 papers), Neuroscience and Neural Engineering (17 papers), Nuclear Receptors and Signaling (16 papers), 3D Printing in Biomedical Research (12 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Developmental Neuroscience (5.2k citations), Cellular and Molecular Neuroscience (7.1k citations), Molecular Biology (17.9k citations), Genetics (1.9k citations) and Aging (316 citations). Lorenz Studer has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Viviane Tabar, Mark Tomishima, Stuart M. Chambers, Michel Sadelain, Eirini P. Papapetrou, Christopher A. Fasano, Ron McKay, Gabsang Lee, Sang‐Hun Lee and Nicholas D. Socci. Their work appears in journals such as Cell stem cell, Nature Biotechnology, Nature Communications, Nature and Proceedings of the National Academy of Sciences.

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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