William E. Allen

6.9k total citations · 3 hit papers
51 papers, 3.8k citations indexed

About

William E. Allen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, William E. Allen has authored 51 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 10 papers in Cognitive Neuroscience. Recurrent topics in William E. Allen's work include Neural dynamics and brain function (9 papers), Single-cell and spatial transcriptomics (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). William E. Allen is often cited by papers focused on Neural dynamics and brain function (9 papers), Single-cell and spatial transcriptomics (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). William E. Allen collaborates with scholars based in United States, United Kingdom and China. William E. Allen's co-authors include Karl Deisseroth, Liqun Luo, Charu Ramakrishnan, Sam Vesuna, Michael Z. Chen, Kathryn E. Evans, Xiao Wang, Emily Sylwestrak, Garry P. Nolan and Jia Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

William E. Allen

50 papers receiving 3.7k citations

Hit Papers

Three-dimensional intact-tissue sequencing of single-cell... 2018 2026 2020 2023 2018 2019 2022 250 500 750

Peers

William E. Allen
Comparison fields: 5 of 133
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 1.2k
  • Cognitive Neuroscience 1.1k
  • Biophysics 379
  • Neurology 313
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Citations per field, relative to William E. Allen
William E. Allen · 1×
Citations per year, relative to William E. Allen
William E. Allen · 1×

Countries citing papers authored by William E. Allen

Since Specialization
Citations

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

Fields of papers citing papers by William E. Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William E. Allen

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Allen. A scholar is included among the top collaborators of William E. Allen 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 William E. Allen. William E. Allen 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 3
2 12
3 96
4 13
5 33
6 129
7 63
8 220
9
Temporal evolution of cortical ensembles promoting remote memory retrieval breakdown →
336
10
Three-dimensional intact-tissue sequencing of single-cell transcriptional states breakdown →
941
11 119
12 60
13 244
14 112
15 237
16 126
17 221
18
Embryonic avian endothelial cells, a new source of cells for in vitro angiogenesis research
1
19 9
20 5

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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