Norbert Furtmann

Computer ScienceMedicineChemistryBiochemistry, Genetics and Molecular BiologyMaterials Science

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

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 2 papers. Top paper: “Best practices for machine learning in antibody discovery and development”.

Best practices for machine learning in antibody discovery and development

Drug Discovery Today(2024)10.1016/j.drudis.2024.104025

N/A

0.457DataRank · unranked

20 citations

Norbert Furtmann, Andrew Buchanan, Sandeep Kumar, Victor Greiff, Leonard Wossnig

Trispecific antibody targeting HIV-1 and T cells activates and eliminates latently-infected cells in HIV/SHIV infections

Nature Communications(2023)10.1038/s41467-023-39265-z

N/A

0DataRank · unranked

16 citations

Ling Xu, Jason Hataye, Giulia Fabozzi, Kylie March, Cassandra Almasri +28 more