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

Karoline Kuchenbaecker

Universitäres Kinderwunschzentrum Lübeck

ORCID: 0000-0001-9726-603X

Also affiliated with Genomics England, The London College, Institute of Genetics, University College London

Biochemistry, 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 2%percentile
3.5Author DataRank

Indexed papers

4in 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 4 indexed papers 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.

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

Nature Genetics(2024)10.1038/s41588-023-01596-4
Top 9%
2.4DataRank
Top 9%176 citations

Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak +76 more

Papers

Driven by 14 papers — median percentile 76. Top paper: “Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference”.

Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference

Nature Genetics(2024)10.1038/s41588-023-01596-4
Top 9%
2.4DataRank
Top 9%176 citations

Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak +76 more

Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration

Nature Communications(2023)10.1038/s41467-023-41249-y
N/A
1.1DataRank · unranked
60 citations

Daniel F. Levey, Olga Giannakopoulou, Joseph D. Deak, Marco Galimberti, Keyrun Adhikari +15 more

The Genomics of Heart Failure: Design and Rationale of the HERMES Consortium

ESC Heart Failure(2021)10.1002/ehf2.13517
Top 24%
0.829DataRank
Top 24%22 citations

Sonia Shah, Honghuang Lin, Tomasz Czuba, Albert Henry, Daniel I. Swerdlow +95 more

Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritisation, and causal inference

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.20.500802
Top 54%
0.311DataRank
Top 54%4 citations

Georgina Navoly, Olga Giannakopoulou, Daniel F. Levey, Dóra Koller, Gita A. Pathak +71 more

Ancestral diversity in complex disease genetics: from discovery to translation

Nature Reviews Genetics(2026)10.1038/s41576-025-00921-3
N/A
0.241DataRank · unranked
4 citations

Georgina Navoly, Karoline Kuchenbaecker

Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

UNC Libraries(2020)10.17615/181h-6e37
N/A
0DataRank · unranked
0 citations

Penny Soucy, Anna Jakubowska, Xianshu Wang, Susan M. Domchek, Paolo Radice +27 more

Psychosis Endophenotypes: A Gene-Set-Specific Polygenic Risk Score Analysis

Schizophrenia Bulletin(2023)10.1093/schbul/sbad088
N/A
0DataRank · unranked
4 citations

Haritz Irizar, Johan H. Thygesen, Eirini Zartaloudi, Isabelle Austin-Zimmerman, Anjali Bhat +42 more

Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants

Molecular Psychiatry(2024)10.1038/s41380-024-02662-x
N/A
0DataRank · unranked
6 citations

Mark J. Adams, Yixiang Jiang, C Tian, Cathryn M. Lewis, Karoline Kuchenbaecker +2 more

Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations

UNC Libraries(2024)10.17615/20e5-k172
N/A
0DataRank · unranked
0 citations

Evangelos Vassos, Bigdeli T.B, Sullivan P.F, Bryan Mowry, Lerato Majara +26 more

Genome-wide association study investigating short and long sleep duration: a cross-population meta-analysis

medRxiv(2022)10.1101/2022.09.09.22279703
N/A
0DataRank · unranked
0 citations

Daniel F. Levey, Olga Giannakopoulou, Joseph D. Deak, Marco Galimberti, Hang Zhou +14 more

Assessing Associations between the AURKA-HMMR-TPX2-TUBG1 Functional Module and Breast Cancer Risk in BRCA1/2 Mutation Carriers

Kölner Universitäts PublikationsServer (Universität zu Köln)(2020)10.17615/wt6m-3p20
N/A
0DataRank · unranked
0 citations

Jenny Lester, Xianshu Wang, Teresa Ramón y Cajal, Heli Nevanlinna, Daniel Cuadras +27 more

Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2mutation carriers

UNC Libraries(2020)10.17615/ndzd-wt90
N/A
0DataRank · unranked
0 citations

Katja Harbst, Maria A. Caligo, Nathanson, Kate, Sue Healey, Karoline Kuchenbaecker +15 more

The Influence of CYP2D6 and CYP2C19 Genetic Variation on Diabetes Mellitus Risk in People Taking Antidepressants and Antipsychotics

Genes(2021)10.3390/genes12111758
N/A
0DataRank · unranked
30 citations

Marta Wrońska, Baihan Wang, Haritz Irizar, Johan H. Thygesen, Anjali Bhat +10 more

The influence of CYP2D6 and CYP2C19 genetic variation on diabetes mellitus risk in people taking antidepressants and antipsychotics

medRxiv(2021)10.1101/2021.07.07.21259926
N/A
0DataRank · unranked
7 citations

Marta Wrońska, Baihan Wang, Haritz Irizar, Johan H. Thygesen, Anjali Bhat +10 more