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

Laurynas Kalesinskas

Flatiron Health (United States)

ORCID: 0000-0002-2903-2378
Biochemistry, Genetics and Molecular BiologyEnvironmental Science

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 6%percentile
0.253Author 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.

Multicohort Analysis of Bronchial Epithelial Cell Expression in Healthy Subjects and Patients with Asthma Reveals Four Clinically Distinct Clusters

American Journal of Respiratory Cell and Molecular Biology(2024)10.1165/rcmb.2024-0125oc
Top 60%
0.253DataRank
Top 60%4 citations

Ananthakrishnan Ganesan, Laurynas Kalesinskas, Hong Zheng, Haejun C. Ahn, S. Christenson +16 more

Papers

Driven by 7 papers — median percentile 40. Top paper: “Multicohort Analysis of Bronchial Epithelial Cell Expression in Healthy Subjects and Patients with Asthma Reveals Four Clinically Distinct Clusters”.

Multicohort Analysis of Bronchial Epithelial Cell Expression in Healthy Subjects and Patients with Asthma Reveals Four Clinically Distinct Clusters

American Journal of Respiratory Cell and Molecular Biology(2024)10.1165/rcmb.2024-0125oc
Top 60%
0.253DataRank
Top 60%4 citations

Ananthakrishnan Ganesan, Laurynas Kalesinskas, Hong Zheng, Haejun C. Ahn, S. Christenson +16 more

Computational drug repositioning of atorvastatin for ulcerative colitis

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab165
N/A
0DataRank · unranked
32 citations

Madeleine Scott, Ethan Steinberg, Laurynas Kalesinskas, Aida Habtezion, Nigam H. Shah +2 more

Ancestry-based differences in the immune system are associated with lupus severity

Research Square(2021)10.21203/rs.3.rs-1149629/v1
N/A
0DataRank · unranked
2 citations

Kevin Thomas, Miles Smith, Susan Macwana, Aleksandra Bylinska, Joseph Kheir +22 more

Machine learning for initial insulin estimation in hospitalized patients

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab099
N/A
0DataRank · unranked
59 citations

Ivana Jankovic, Laurynas Kalesinskas, Michael Baiocchi, Jonathan H. Chen, Minh Hoai Nguyen

Ancestry-based differences in the immune phenotype are associated with lupus activity

JCI Insight(2023)10.1172/jci.insight.169584
N/A
0DataRank · unranked
14 citations

Kevin L. Thomas, Miles Smith, Catriona A. Wagner, Susan Macwana, Aleksandra Bylinska +21 more

Multi-modal analysis reveals tumor and immune features distinguishing EBV-positive and EBV-negative post-transplant lymphoproliferative disorders

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101851
N/A
0DataRank · unranked
9 citations

Andrea Reitsma, Tetsuya Tajima, Sheren F. Younes, Chimere Ezeiruaku, K. Jenkins +24 more

Inferring direction of associations between histone modifications using a neural processes-based framework

iScience(2022)10.1016/j.isci.2022.105756
N/A
0DataRank · unranked
3 citations

Denis Đermadi, Laurynas Kalesinskas, Michele Donato, Rosalie Sowers, Paul J. Utz +2 more