Min Min Chan

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: “Predictability of buprenorphine‐naloxone treatment retention: A multi‐site analysis combining electronic health records and machine learning”.

Predictability of buprenorphine‐naloxone treatment retention: A multi‐site analysis combining electronic health records and machine learning

Addiction(2024)10.1111/add.16587

N/A

0DataRank · unranked

6 citations

Sajjad Fouladvand, Steven Tate, Min Min Chan, Joannas Jie Lin Yeow, Kira Griffiths +11 more

Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf157

N/A

0DataRank · unranked

4 citations

Iván López, Steven Tate, Pooya Ashtari, Min Min Chan, Deepali Kulkarni +11 more