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

Heikki A. Koistinen

University of Helsinki

ORCID: 0000-0001-7870-070X

Also affiliated with Helsinki University Hospital, Finnish Institute for Health and Welfare, Minerva Foundation, Institute for Molecular Medicine Finland

Biochemistry, Genetics and Molecular BiologyMedicine

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

2in 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 2 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.

Inverse directions of association of higher physical activity and higher insulin resistance with human skeletal muscle cell typae abundance and fiber-type-level gene expression

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.27.683567
Top 100%
0DataRank
Top 100%0 citations

Sarah C. Hanks, Arushi Varshney, Michael R. Erdos, Nandini Manickam, Heather M. Stringham +16 more

Papers

Driven by 19 papers — median percentile 0. Top paper: “Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes”.

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Nature Communications(2021)10.1038/s41467-021-23556-4
N/A
2.7DataRank · unranked
110 citations

Moriel Singer‐Berk, Rachel G. Son, Abigail Sveden, Jordan C. Wood, Eleina England +95 more

Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake

Nature Genetics(2023)10.1038/s41588-023-01408-9
N/A
1.5DataRank · unranked
78 citations

Dougall M. Norris, Xianyong Yin, K. Alaine Broadaway, Anne H. Moxley, Swarooparani Vadlamudi +94 more

ACE2 expression in adipose tissue is associated with cardio-metabolic risk factors and cell type composition—implications for COVID-19

International Journal of Obesity(2022)10.1038/s41366-022-01136-w
N/A
1.3DataRank · unranked
44 citations

Anne Jackson, Sarah M. Brotman, Li Guan, Sergio Villicaña, Amy L. Roberts +31 more

Rare coding variants in 35 genes associate with circulating lipid levels—A multi-ancestry analysis of 170,000 exomes

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.11.021
N/A
1.3DataRank · unranked
70 citations

Peter Dornbos, Mark Chaffin, Dajiang J. Liu, Minxian Wang, Margaret Sunitha Selvaraj +95 more

The genetic architecture of type 2 diabetes

Nature(2016)10.1038/nature18642
N/A
1.1DataRank · unranked
1106 citations

Menachem Fromer, Tanya M. Teslovich, Anubha Mahajan, Vineeta Agarwala, Kyle J. Gaulton +334 more

Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

Nature Communications(2021)10.1038/s41467-020-19366-9
N/A
0.771DataRank · unranked
170 citations

Reedik Mägi, Jouke‐Jan Hottenga, Harald Grallert, John R. B. Perry, Nabila Bouatia‐Naji +95 more

Rare coding variants in 35 genes associate with circulating lipid levels – a multi-ancestry analysis of 170,000 exomes

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.22.423783
N/A
0.534DataRank · unranked
11 citations

Peter Dornbos, Mark Chaffin, Dajiang J. Liu, Minxian X. Wang, Margaret Sunitha Selvaraj +95 more

Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci

Oxford University Research Archive (ORA) (University of Oxford)(2020)10.17615/gc55-0r45
N/A
0.221DataRank · unranked
2 citations

Sonsoles Morcillo, Nicholas J. Wareham, Richard A. Jensen, Allan Linnenberg, Josée Dupuis +74 more

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

medRxiv(2020)10.1101/2020.09.22.20195529
N/A
0DataRank · unranked
11 citations

Moriel Singer‐Berk, Rachel G. Son, Abigail Sveden, Jordan C. Wood, Eleina England +95 more

ACE2 expression in adipose tissue is associated with COVID-19 cardio-metabolic risk factors and cell type composition

medRxiv(2020)10.1101/2020.08.11.20171108
N/A
0DataRank · unranked
12 citations

Anne Jackson, Sarah M. Brotman, Li Guan, Sergio Villicaña, Amy L. Roberts +21 more

Adipose tissue eQTL meta-analysis reveals the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.26.563798
N/A
0DataRank · unranked
13 citations

Julia S. El-Sayed Moustafa, Li Guan, K. Alaine Broadaway, Dongmeng Wang, Anne Jackson +29 more

Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits

Nature Genetics(2025)10.1038/s41588-024-01982-6
N/A
0DataRank · unranked
23 citations

Julia S. El-Sayed Moustafa, Li Guan, K. Alaine Broadaway, Dongmeng Wang, Anne Jackson +29 more

Extensive differential gene expression and regulation by sex in human skeletal muscle

Cell Genomics(2025)10.1016/j.xgen.2025.100915
N/A
0DataRank · unranked
13 citations

Abigail S. Mauger, Arushi Varshney, Dan L. Ciotlos, Nandini Manickam, Narisu Narisu +20 more

Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.09.003
N/A
0DataRank · unranked
0 citations

K. Alaine Broadaway, Victoria A. Parsons, Swarooparani Vadlamudi, Narisu Narisu, Sarah M. Brotman +15 more

Inverse directions of association of higher physical activity and higher insulin resistance with human skeletal muscle cell typae abundance and fiber-type-level gene expression

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.27.683567
Top 100%
0DataRank
Top 100%0 citations

Sarah C. Hanks, Arushi Varshney, Michael R. Erdos, Nandini Manickam, Heather M. Stringham +16 more

Correction: Genome-wide physical activity interactions in adiposity ― A meta-analysis of 200,452 adults

UNC Libraries(2020)10.17615/v0aq-7b55
N/A
0DataRank · unranked
0 citations

Lynne J. Hocking, Najaf Amin, Lori L. Bonnycastle, Ching‐Ti Liu, Inês Barroso +95 more

Adipose tissue eQTL meta-analysis highlights the contribution of allelic heterogeneity to gene expression regulation and cardiometabolic traits

UNC Libraries(2025)10.17615/vj0s-7k07
N/A
0DataRank · unranked
0 citations

Chelsea K. Raulerson, Kerrin S. Small, Julia S. El-Sayed Moustafa, Sarah M. Brotman, Laura J. Scott +29 more

Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

UNC Libraries(2020)10.17615/y892-y714
N/A
0DataRank · unranked
0 citations

Wen‐Chi Hsueh, Eric Orwoll, Serkalem Demissie, Liisa Byberg, Arjun Verma +95 more

An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

UNC Libraries(2020)10.17615/kf29-bk98
Top 100%
0DataRank
Top 100%0 citations

Karl Gertow, Veikko Salomaa, John D. Eicher, Anders Hamsten, Inga Prokopenko +94 more