🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Shikha Nayar

Immunai (United States)

ORCID: 0000-0001-8519-4569

Also affiliated with Icahn School of Medicine at Mount Sinai

Biochemistry, Genetics and Molecular BiologyImmunology and MicrobiologyMedicine

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 3 papers. Top paper: “Machine learning identifies novel blood protein predictors of penetrating and stricturing complications in newly diagnosed paediatric Crohn's disease”.

Machine learning identifies novel blood protein predictors of penetrating and stricturing complications in newly diagnosed paediatric Crohn's disease

Alimentary Pharmacology & Therapeutics(2020)10.1111/apt.16136

N/A

0DataRank · unranked

46 citations

Liangyuan Hu, Jiayi Ji, Shikha Nayar, Subra Kugathasan, Lee A. Denson +5 more

A Role for CXCR3 Ligands as Biomarkers of Post-Operative Crohn’s Disease Recurrence

Journal of Crohn s and Colitis(2021)10.1093/ecco-jcc/jjab186

N/A

0DataRank · unranked

37 citations

Shadi Nayeri, Jiayi Ji, Cristian Hernández-Rocha, Ksenija Sabic, Liangyuan Hu +11 more

From single-target to cellular niche targeting in Crohn's disease: intercepting bad communications

EBioMedicine(2021)10.1016/j.ebiom.2021.103690

N/A

0DataRank · unranked

5 citations

Judy H. Cho, Shikha Nayar