Tzu‐Hsi Song

Computer ScienceBiochemistry, Genetics and Molecular BiologyPhysics and AstronomyEngineering

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: “Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United States”.

Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United States

medRxiv(2024)10.1101/2024.01.13.24301248

N/A

0DataRank · unranked

3 citations

Leonardo Clemente, Xiang Pan, Junbong Jang, Mauricio Santillana, Kwonmoo Lee +1 more

Breast Cancer‐Derived Extracellular Vesicles Modulate the Cytoplasmic and Cytoskeletal Dynamics of Blood‐Brain Barrier Endothelial Cells

Journal of Extracellular Vesicles(2025)10.1002/jev2.70038

N/A

0DataRank · unranked

14 citations

Tzu‐Hsi Song, Hyung Joon Kim, Caleb Hallinan, Michael N. Lombardo, Anat Stemmer‐Rachamimov +3 more

Fine-grained forecasting of COVID-19 trends at the county level in the United States

npj Digital Medicine(2025)10.1038/s41746-025-01606-1

N/A

0DataRank · unranked

4 citations

Leonardo Clemente, Xiang Pan, Junbong Jang, Mauricio Santillana, Kwonmoo Lee +1 more