Connection

Co-Authors

This is a "connection" page, showing publications co-authored by ANDREAS TOLIAS and XIAOLONG JIANG.
Connection Strength

1.876
  1. Response to Comment on "Principles of connectivity among morphologically defined cell types in adult neocortex". Science. 2016 09 09; 353(6304):1108.
    View in: PubMed
    Score: 0.563
  2. Principles of connectivity among morphologically defined cell types in adult neocortex. Science. 2015 Nov 27; 350(6264):aac9462.
    View in: PubMed
    Score: 0.533
  3. Distinct organization of two cortico-cortical feedback pathways. Nat Commun. 2022 10 27; 13(1):6389.
    View in: PubMed
    Score: 0.215
  4. Multimodal profiling of single-cell morphology, electrophysiology, and gene expression using Patch-seq. Nat Protoc. 2017 Dec; 12(12):2531-2553.
    View in: PubMed
    Score: 0.153
  5. Q&A: using Patch-seq to profile single cells. BMC Biol. 2017 07 06; 15(1):58.
    View in: PubMed
    Score: 0.149
  6. A CRISPR toolbox for generating intersectional genetic mouse models for functional, molecular, and anatomical circuit mapping. BMC Biol. 2022 01 28; 20(1):28.
    View in: PubMed
    Score: 0.051
  7. Phenotypic variation of transcriptomic cell types in mouse motor cortex. Nature. 2021 10; 598(7879):144-150.
    View in: PubMed
    Score: 0.047
  8. Cell type composition and circuit organization of clonally related excitatory neurons in the juvenile mouse neocortex. Elife. 2020 03 05; 9.
    View in: PubMed
    Score: 0.045
  9. Author Correction: Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas. Nat Commun. 2019 Nov 04; 10(1):5075.
    View in: PubMed
    Score: 0.044
  10. Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas. Nat Commun. 2019 09 13; 10(1):4174.
    View in: PubMed
    Score: 0.043
  11. Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq. Nat Biotechnol. 2016 Feb; 34(2):199-203.
    View in: PubMed
    Score: 0.033
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.