Lucas T. Graybuck

12.2k citations
8 papers · 1.6k indexed · 1 hit paper · h-index 7
Topics
Single-cell and spatial transcriptomics (5 papers)Neuroinflammation and Neurodegeneration Mechanisms (3 papers)Neural dynamics and brain function (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Lucas T. Graybuck

7 papers receiving 1.6k citations

Hit Papers

Single-cell profiling of the developing mouse brain and s...20182026202020232018250500750

Peers

Lucas T. Graybuck
Comparison fields: 5 of 98
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 300
  • Cognitive Neuroscience 260
  • Cancer Research 202
  • Immunology 199
Replace Emily Sylwestrak with:
Emily Sylwestrak United States
Irene E. Whitney United States
Sam Vesuna United States
Mohan Bolisetty United States
Trygve E. Bakken United States
Nicholas M. Tran United States
Jesper Ryge Sweden
M. Aurel Nagy United States
Lukasz Swiech Poland
Naoyuki Tanimoto Germany
Lucas T. Graybuck relative to Emily Sylwestrak United States Emily Sylwestrak's profile →
Citations per field
00.5×1.5×
Emily Sylwestrak · 1×
Citations per year

Countries citing papers authored by Lucas T. Graybuck

Since Specialization
Citations

This map shows the geographic impact of Lucas T. Graybuck'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 Lucas T. Graybuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas T. Graybuck more than expected).

Fields of papers citing papers by Lucas T. Graybuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas T. Graybuck. 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 Lucas T. Graybuck. The network helps show where Lucas T. Graybuck may publish in the future.

Co-authorship network of co-authors of Lucas T. Graybuck

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas T. Graybuck. A scholar is included among the top collaborators of Lucas T. Graybuck 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 Lucas T. Graybuck. Lucas T. Graybuck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 21
2 0
3 154
4 49
5 90
6 166
7
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcodingbreakdown →
877
8 217

About Lucas T. Graybuck

Lucas T. Graybuck is a scholar working on Neurology, Sensory Systems and Cognitive Neuroscience, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Biophysics (168 citations), Neurology (158 citations) and Developmental Neuroscience (78 citations). Lucas T. Graybuck has collaborated with scholars based in United States and France. Frequent co-authors include Bosiljka Tasic, Zizhen Yao, Suzie H. Pun, Drew L. Sellers, Anna Kuchina, Sumit Mukherjee, David J. Peeler, Charles M. Roco, Alexander Rosenberg and Paul Sample. 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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