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

Heather Eckart

University of Chicago

ORCID: 0000-0002-9332-3073
Biochemistry, Genetics and Molecular BiologyImmunology and MicrobiologyMedicine

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
2.3Author 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.

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

Cell Reports(2022)10.1016/j.celrep.2022.111838
Top 14%
1.4DataRank
Top 14%73 citations

Yan Li, Melanie Weigert, Lisha Zhu, Heather Eckart, Melissa Javellana +11 more

Papers

Driven by 10 papers — median percentile 56. Top paper: “A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing”.

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

Cell Reports(2022)10.1016/j.celrep.2022.111838
Top 14%
1.4DataRank
Top 14%73 citations

Yan Li, Melanie Weigert, Lisha Zhu, Heather Eckart, Melissa Javellana +11 more

A cell atlas of the human fallopian tube throughout the menstrual cycle and menopause

Nature Communications(2025)10.1038/s41467-024-55440-2
Top 34%
0.580DataRank
Top 34%22 citations

Yan Li, Lisha Zhu, Heather Eckart, Preety Bajwa, Rahul Krishnan +7 more

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.04.502826
Top 53%
0.318DataRank
Top 53%6 citations

Yan Li, Melanie Weigert, Lisha Zhu, Heather Eckart, Melissa Javellana +10 more

mDrop-seq: Massively parallel single-cell RNA-seq of Saccharomyces cerevisiae and Candida albicans

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.06.451338
N/A
0DataRank · unranked
5 citations

Bingqing Xie, Rebecca Back, Alan Selewa, Heather Eckart, Reeta P. Rao +2 more

Hedgehog signaling activates a mammalian heterochronic gene regulatory network controlling differentiation timing across lineages

Developmental Cell(2022)10.1016/j.devcel.2022.08.009
N/A
0DataRank · unranked
32 citations

Carlos Perez-Cervantes, Suzy S. J. Hur, Jessica Jacobs-Li, Emery Lu, Nikita Deng +20 more

Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation

Scientific Reports(2020)10.1038/s41598-020-58327-6
N/A
0DataRank · unranked
110 citations

Ryan Dohn, Heather Eckart, Stephanie Lozano, Bingqing Xie, Eric Gauchat +7 more

Single-cell genomics improves the discovery of risk variants and genes of Atrial Fibrillation

medRxiv(2022)10.1101/2022.02.02.22270312
N/A
0DataRank · unranked
2 citations

Kaixuan Luo, Michael Wasney, Linsin A. Smith, Xiaotong Sun, Chenwei Tang +6 more

Single-cell genomics improves the discovery of risk variants and genes of atrial fibrillation

Nature Communications(2023)10.1038/s41467-023-40505-5
N/A
0DataRank · unranked
41 citations

Kaixuan Luo, Michael Wasney, Linsin A. Smith, Xiaotong Sun, Chenwei Tang +6 more

A Cellular atlas of the human fallopian tube reveals the metamorphosis of secretory epithelial cells during the menstrual cycle and menopause

medRxiv(2023)10.1101/2023.11.22.23298470
Top 100%
0DataRank
Top 100%0 citations

Yi Li, Lixia Zhu, Heather Eckart, Prabhjot Singh Bajwa, Ranga Krishnan +7 more

mDrop-Seq: Massively Parallel Single-Cell RNA-Seq of Saccharomyces cerevisiae and Candida albicans

Vaccines(2021)10.3390/vaccines10010030
N/A
0DataRank · unranked
23 citations

Bingqing Xie, Rebecca Back, Alan Selewa, Heather Eckart, Reeta P. Rao +2 more