Min Shi

Also affiliated with Ube (Japan)

Immunology and MicrobiologyMedicineBiochemistry, 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 3 papers. Top paper: “Machine learning–based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors”.

Machine learning–based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors

Blood Advances(2021)10.1182/bloodadvances.2021005149

N/A

0.524DataRank · unranked

32 citations

Min Shi, Mark A. Fiala, Feng Gao, Michael P. Rettig, Geoffrey L. Uy +6 more

NeTOIF: A Network-based Approach for Time-Series Omics Data Imputation and Forecasting

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.05.447209

N/A

0.104DataRank · unranked

1 citations

Shamim Mollah, Min Shi

Heparanase Blockade as a Novel Dual-Targeting Therapy for COVID-19

Journal of Virology(2022)10.1128/jvi.00057-22

N/A

0DataRank · unranked

29 citations

Mijia Lu, Min Shi, Xiaogang Cheng, Kristin A. Kwakwa, Jennifer L. Davis +14 more