Vijil Chenthamarakshan

Also affiliated with IBM Research (China)

Computer ScienceMaterials ScienceBiochemistry, 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 2 papers. Top paper: “An end-to-end deep learning framework for translating mass spectra to de-novo molecules”.

An end-to-end deep learning framework for translating mass spectra to de-novo molecules

Communications Chemistry(2023)10.1038/s42004-023-00932-3

N/A

0DataRank · unranked

61 citations

Vijil Chenthamarakshan, Payel Das, Lydia E. Kavraki, Eleni Litsa

Multi-Scale Representation Learning for Protein Fitness Prediction

PubMed(2024)10.52202/079017-3217

N/A

0DataRank · unranked

3 citations

Pascal Notin, Yining Huang, Aurélie Lozano, Payel Das, Jian Tang +1 more