Utsav Mukherjee

NeuroscienceBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data”.

Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data

Nature Communications(2024)10.1038/s41467-023-44503-5

N/A

0.700DataRank · unranked

29 citations

Snehajyoti Chatterjee, Utsav Mukherjee, Muhammad Elsadany, Yann Vanrobaeys, Li‐Chun Lin +6 more

Mapping the spatial transcriptomic signature of the hippocampus during memory consolidation

Nature Communications(2023)10.1038/s41467-023-41715-7

N/A

0DataRank · unranked

40 citations

Utsav Mukherjee, Lucy Langmack, Stacy E. Beyer, Ethan Bahl, Li‐Chun Lin +4 more

The gene expression signature of electrical stimulation in the human brain

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.21.558812

N/A

0DataRank · unranked

0 citations

Muhammad Elsadany, Yann Vanrobaeys, Angela Gleason, Brian J. Park, Shane A. Heiney +23 more

Differential effects of Phosphodiesterase 4A5 on cAMP‐dependent forms of long‐term potentiation

The Journal of Physiology(2024)10.1113/jp286801

N/A

0DataRank · unranked

3 citations

Emily N. Walsh, Utsav Mukherjee, Ted Abel, Satya Murthy Tadinada