Xuenan Mi

Biochemistry, Genetics and Molecular BiologyComputer ScienceMedicine

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: “Sequence controlled secondary structure is important for the site-selectivity of lanthipeptide cyclization”.

Sequence controlled secondary structure is important for the site-selectivity of lanthipeptide cyclization

Chemical Science(2023)10.1039/d2sc06546k

N/A

0DataRank · unranked

16 citations

Emily K. Desormeaux, Tung Le, Wilfred A. van der Donk, Diwakar Shukla, Xuenan Mi

Leveraging machine learning models for peptide–protein interaction prediction

RSC Chemical Biology(2024)10.1039/d3cb00208j

N/A

0DataRank · unranked

47 citations

Xuenan Mi, Diwakar Shukla, Yin Song

Substrate prediction for RiPP biosynthetic enzymes via masked language modeling and transfer learning

Digital Discovery(2024)10.1039/d4dd00170b

N/A

0DataRank · unranked

4 citations

Xuenan Mi, Douglas A. Mitchell, Diwakar Shukla, Joseph D. Clark

LassoESM a tailored language model for enhanced lasso peptide property prediction

Nature Communications(2025)10.1038/s41467-025-63412-3

N/A

0DataRank · unranked

4 citations

Susanna E. Barrett, Douglas A. Mitchell, Diwakar Shukla, Xuenan Mi