Thomas de Bel

Computer 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 3 papers. Top paper: “Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence”.

Towards defining morphologic parameters of normal parous and nulliparous breast tissues by artificial intelligence

Breast Cancer Research(2022)10.1186/s13058-022-01541-z

N/A

0DataRank · unranked

11 citations

Thomas de Bel, Derek C. Radisky, Jennifer M. Kachergus, E. Aubrey Thompson, Amy C. Degnim +18 more

Serum hormone levels and normal breast histology among premenopausal women

Breast Cancer Research and Treatment(2022)10.1007/s10549-022-06600-9

N/A

0DataRank · unranked

3 citations

Thomas de Bel, Michael G. Heckman, Launia J. White, Joshua Ogony, Melody Stallings‐Mann +13 more

Towards Defining Morphologic Parameters of Normal Parous and Nulliparous Breast Tissues by Artificial Intelligence

Research Square(2022)10.21203/rs.3.rs-1359557/v1

N/A

0DataRank · unranked

0 citations

Thomas de Bel, Derek C. Radisky, Jennifer M. Kachergus, E. Aubrey Thompson, Amy C. Degnim +18 more