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

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 8 papers. Top paper: Deep learning improves utility of tau PET in the study of Alzheimer's disease.

Deep learning improves utility of tau PET in the study of Alzheimer's disease

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2021)10.1002/dad2.12264
N/A
0.719DataRank · unranked
16 citations

David S. Park, Aubrey S. Johnson, Xinyang Feng, Michelle Pardo, Jeanelle France +8 more

50 citations

Jia Guo, Hannah C. Sigmon, Richard P. Sloan, Adam M. Brickman, Frank A. Provenzano +3 more

66 citations

Jia Guo, Luna Buitrago, Yasir H. Qureshi, Xinyang Feng, Milankumar Kothiya +11 more

53 citations

Melanie M. Wall, Lok‐Kin Yeung, Tianshu Feng, Xinyang Feng, Frank A. Provenzano +5 more

41 citations

Xinyang Feng, Shannon Lange, Alexander Tran, Jakob Manthey, Jürgen Rehm +1 more

3 citations

Jürgen Rehm, Xinyang Feng, Huan Jiang, Jakob Manthey, Ričardas Radišauskas +5 more

101 citations

Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano, Xinyang Feng

1 citations

Ari Segel, Xinyang Feng, Jiaxin Cindy Tu, Andy Eck, Kelsey King +6 more