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

Sandra Freitag‐Wolf

Christian-Albrechts-Universität zu Kiel

ORCID: 0000-0002-1069-7740
DentistryBiochemistry, 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 4%percentile
0.738Author 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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-20-0566
Top 27%
0.738DataRank
Top 27%10 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

Papers

Driven by 8 papers — median percentile 73. Top paper: “Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer”.

Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-20-0566
Top 27%
0.738DataRank
Top 27%10 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

A saturated map of common genetic variants associated with human height

Nature(2022)10.1038/s41586-022-05275-y
N/A
0DataRank · unranked
908 citations

Sailaja Vedantam, Eirini Marouli, Julia Sidorenko, Eric Bartell, Saori Sakaue +95 more

Genetic loci and prioritization of genes for kidney function decline derived from a meta-analysis of 62 longitudinal genome-wide association studies

Kidney International(2022)10.1016/j.kint.2022.05.021
N/A
0DataRank · unranked
54 citations

Humaira Rasheed, Alexander Teumer, Laurent F. Thomas, Sarah E. Graham, Garðar Sveinbjörnsson +94 more

Genome-wide case-only analysis of gene-gene interactions with known Parkinson’s disease risk variants reveals link between LRRK2 and SYT10

npj Parkinson s Disease(2023)10.1038/s41531-023-00550-9
N/A
0DataRank · unranked
7 citations

Joanne Trinh, Hampton L. Leonard, Sylvie Delcambre, Elsa Leitão, Dongbing Lai +19 more

Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

(2023)10.1158/1078-0432.c.6529475.v1
N/A
0DataRank · unranked
0 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

(2023)10.1158/1078-0432.c.6529475
N/A
0DataRank · unranked
0 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

High Levels of Chromosomal Copy Number Alterations and TP53 Mutations Correlate with Poor Outcome in Younger Breast Cancer Patients

American Journal Of Pathology(2020)10.1016/j.ajpath.2020.04.015
N/A
0DataRank · unranked
17 citations

Kerstin Heselmeyer‐Haddad, Annette Lischka, Daniela Hirsch, David Fiedler, Yue Hu +11 more

The power of genetic diversity in genome-wide association studies of lipids

UNC Libraries(2024)10.17615/539b-tz69
N/A
0DataRank · unranked
5 citations

Joel N. Hirschhorn, Zoltán Kutalik, Sanni Ruotsalainen, Daniela Ruggiero, Prashantha Hebbar +95 more