Niraj Thapa

Biochemistry, Genetics and Molecular BiologyComputer ScienceChemistry

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 5 papers. Top paper: “A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites”.

A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites

Scientific Reports(2021)10.1038/s41598-021-91840-w

N/A

0.416DataRank · unranked

15 citations

Meenal Chaudhari, Anthony A. Iannetta, Clarence White, Kaushik Roy, Robert H. Newman +3 more

Chlamy-EnPhosSite: A deep learning-based approach for Chlamydomonas reinhardtii-specific phosphorylation site prediction

Research Square(2021)10.21203/rs.3.rs-286990/v1

N/A

0.165DataRank · unranked

2 citations

Meenal Chaudhari, Anthony A. Iannetta, Clarence White, Kaushik Roy, Robert H. Newman +3 more

DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction

BMC Bioinformatics(2020)10.1186/s12859-020-3342-z

N/A

0DataRank · unranked

69 citations

Meenal Chaudhari, Sean McManus, Kaushik Roy, Robert H. Newman, Hiroto Saigo +2 more

DeepRMethylSite: a deep learning based approach for prediction of arginine methylation sites in proteins

Molecular Omics(2020)10.1039/d0mo00025f

N/A

0DataRank · unranked

38 citations

Niraj Thapa, Kaushik Roy, Robert H. Newman, Hiroto Saigo, Dukka B. KC +1 more

DTL-DephosSite: Deep Transfer Learning Based Approach to Predict Dephosphorylation Sites

Frontiers in Cell and Developmental Biology(2021)10.3389/fcell.2021.662983

N/A

0DataRank · unranked

18 citations

Niraj Thapa, Hamid D. Ismail, Sandhya Chopade, Doina Caragea, Maja Köhn +3 more