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

Stephan A. Sieber

Center for Integrated Protein Science Munich

ORCID: 0000-0002-9400-906X

Also affiliated with Bioscience Research, Technical University of Munich

ChemistryMedicineBiochemistry, Genetics and Molecular Biology

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 4 papers. Top paper: Practical guidelines for the use of gradient boosting for molecular property prediction.

135 citations

Francesca Grisoni, Daniel Kuhn, Lukas Friedrich, Stephan A. Sieber, Davide Boldini

41 citations

Justin A. Shapiro, Jörn Hoßmann, Jonas Drechsel, Stephan M. Hacker, Philip N. Rather +4 more

N/A
0DataRank · unranked
9 citations

Carter U. Brzezinski, Andrew Ji, Julianna Marotta, Franziska A. V. Elsen, Robert A. Bonomo +6 more

0 citations

Michaela K. Fiedler, Wangchen Shen, Stephan A. Sieber, Diana M. Downs, Dominik Schum