Daniel E. Wagner

21 papers receiving 3.6k citations

Daniel E. Wagner's Hit Papers

The emergence of transcriptional identity in somatosensory neurons 2020 · 318 citations
3180+5+10Years since publication100200300400500

Peers

Daniel E. Wagner
Comparison fields: 5 of 125
  • Biophysics 305
  • Aging 78
  • Molecular Biology 2.9k
  • Paleontology 317
  • Global and Planetary Change 816
Replace Sylvain W. Lapan with:
Sylvain W. Lapan United States
Sven Sagasser Germany
Thierry Lepage France
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José Luis Gómez-Skármeta Spain
Jean‐Stéphane Joly France
Kristen M. Kwan United States
Hiroki Oda Japan
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Citations per year

Countries citing papers authored by Daniel E. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Wagner. 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 Daniel E. Wagner. The network helps show where Daniel E. Wagner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Single-cell mapping of gene expression landscapes and lineage in the zebrafish embryo
Hit paper breakdown →
2018569
2
Clonogenic Neoblasts Are Pluripotent Adult Stem Cells That Underlie Planarian Regeneration
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2011515
3
Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
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2018437
4
Lineage tracing meets single-cell omics: opportunities and challenges
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2020410
5
The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution
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2018406
6
The emergence of transcriptional identity in somatosensory neurons
Hit paper breakdown →
2020318
7 2014238
8 2013193
9 2012162
10 2020143
11 2005104
12 202355
13 201524
14 201923
15 199722
16 20189
17 20177
18 20242
19 20251
20 20251

About Daniel E. Wagner

Daniel E. Wagner is a scholar working on Biophysics, Global and Planetary Change, Paleontology, Molecular Biology and Cell Biology, having authored 23 papers that have together received 3.6k indexed citations. Recurring topics across this work include Planarian Biology and Electrostimulation (7 papers), Single-cell and spatial transcriptomics (7 papers), Marine Ecology and Invasive Species (7 papers), Cell Image Analysis Techniques (4 papers), Marine Invertebrate Physiology and Ecology (4 papers), Zebrafish Biomedical Research Applications (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Plant and Biological Electrophysiology Studies (2 papers). The work is most often cited by research in Biophysics (305 citations), Aging (78 citations), Molecular Biology (2.9k citations), Paleontology (317 citations) and Global and Planetary Change (816 citations). Daniel E. Wagner has collaborated with scholars based in United States, Bangladesh and Switzerland. Frequent co-authors include Allon Moshe Klein, Peter W. Reddien, Irving E. Wang, Sean G. Megason, Caleb Weinreb, James Alexander Briggs, Zach M. Collins, Josien C. van Wolfswinkel, Leonid Peshkin and Marc W. Kirschner. Their work appears in journals such as Science, Cell stem cell, Nature, Nature Methods and Development.

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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