Ed S. Lein
Impact in
- Developmental Neuroscience top 0.05%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 0.1%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 42
- Neuroinflammation and Neurodegeneration Mechanisms 42
- Biophysics 33
- Cell Image Analysis Techniques 31
- Co-authors
- Susan M. Sunkin (11 shared papers)Michael Hawrylycz (20 shared papers)Hongkui Zeng (9 shared papers)Lydia Ng (11 shared papers)Allan R. Jones (10 shared papers)Hong Gu (1 shared paper)Richard D. Palmiter (1 shared paper)Theresa A. Zwingman (1 shared paper)
- Journals
- Science (17 papers)Nature (14 papers)Cell Reports (9 papers)Nature Neuroscience (9 papers)Neuron (8 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Ed S. Lein
146 papers receiving 32.5k citations
Ed S. Lein's Hit Papers
Peers
Comparison fields: 5 of 199
- Developmental Neuroscience 2.6k
- Neurology 3.5k
- Cellular and Molecular Neuroscience 7.8k
- Cognitive Neuroscience 8.2k
- Biophysics 1.8k
Countries citing papers authored by Ed S. Lein
This map shows the geographic impact of Ed S. Lein'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 Ed S. Lein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ed S. Lein more than expected).
Fields of papers citing papers by Ed S. Lein
This network shows the impact of papers produced by Ed S. Lein. 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 Ed S. Lein. The network helps show where Ed S. Lein may publish in the future.
Co-authors
The 25 scholars most cited alongside Ed S. Lein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A robust and high-throughput Cre reporting and characterization system for the whole mouse brain Hit paper breakdown → | 2009 | 5305 |
| 2 | Genome-wide atlas of gene expression in the adult mouse brain Hit paper breakdown → | 2006 | 4418 |
| 3 | An anatomically comprehensive atlas of the adult human brain transcriptome Hit paper breakdown → | 2012 | 2202 |
| 4 | The complete genome sequence of a Neanderthal from the Altai Mountains Hit paper breakdown → | 2013 | 1499 |
| 5 | Functional organization of the hippocampal longitudinal axis Hit paper breakdown → | 2014 | 1256 |
| 6 | Conserved cell types with divergent features in human versus mouse cortex Hit paper breakdown → | 2019 | 1162 |
| 7 | Shared and distinct transcriptomic cell types across neocortical areas Hit paper breakdown → | 2018 | 1127 |
| 8 | Transcriptional landscape of the prenatal human brain Hit paper breakdown → | 2014 | 987 |
| 9 | Coexpression Networks Implicate Human Midfetal Deep Cortical Projection Neurons in the Pathogenesis of Autism Hit paper breakdown → | 2013 | 699 |
| 10 | Disruptive CHD8 Mutations Define a Subtype of Autism Early in Development Hit paper breakdown → | 2014 | 596 |
| 11 | Patches of Disorganization in the Neocortex of Children with Autism Hit paper breakdown → | 2014 | 562 |
| 12 | Integrative functional genomic analysis of human brain development and neuropsychiatric risks Hit paper breakdown → | 2018 | 560 |
| 13 | Canonical genetic signatures of the adult human brain Hit paper breakdown → | 2015 | 466 |
| 14 | An anatomic transcriptional atlas of human glioblastoma Hit paper breakdown → | 2018 | 447 |
| 15 | Comparative cellular analysis of motor cortex in human, marmoset and mouse Hit paper breakdown → | 2021 | 443 |
| 16 | Genetic identification of brain cell types underlying schizophrenia Hit paper breakdown → | 2018 | 423 |
| 17 | 2018 | 389 | |
| 18 | Transcriptomic diversity of cell types across the adult human brain Hit paper breakdown → | 2023 | 366 |
| 19 | 2011 | 347 | |
| 20 | Convergent transcriptional specializations in the brains of humans and song-learning birds Hit paper breakdown → | 2014 | 343 |
About Ed S. Lein
Ed S. Lein is a scholar working on Neurology, Biophysics, Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 150 papers that have together received 32.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (81 papers), Neuroinflammation and Neurodegeneration Mechanisms (42 papers), Cell Image Analysis Techniques (31 papers), Neural dynamics and brain function (24 papers), Neuroscience and Neuropharmacology Research (23 papers), Neurogenesis and neuroplasticity mechanisms (19 papers), Gene expression and cancer classification (18 papers) and Bioinformatics and Genomic Networks (15 papers). The work is most often cited by research in Developmental Neuroscience (2.6k citations), Neurology (3.5k citations), Cellular and Molecular Neuroscience (7.8k citations), Cognitive Neuroscience (8.2k citations) and Biophysics (1.8k citations). Ed S. Lein has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Susan M. Sunkin, Michael Hawrylycz, Hongkui Zeng, Lydia Ng, Allan R. Jones, Hong Gu, Richard D. Palmiter, Theresa A. Zwingman, Seung Wook Oh and Hatim A. Zariwala. Their work appears in journals such as Science, Nature, Cell Reports, Nature Neuroscience and Neuron.
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.