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

Rintu Kutum

Ashoka University

ORCID: 0000-0001-8667-6199
Biochemistry, Genetics and Molecular BiologyEconomics, Econometrics and FinanceMedicine

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 7%percentile
0.165Author 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.

Accelerating Cough-Based Algorithms for Pulmonary Tuberculosis Screening: Results From the CODA TB DREAM Challenge

Open Forum Infectious Diseases(2025)10.1093/ofid/ofaf572
Top 70%
0.165DataRank
Top 70%2 citations

Solveig K. Sieberts, Mihaja Raberahona, Sophie Huddart, Larsson Omberg, Rivo Andry Rakotoarivelo +50 more

Papers

Driven by 7 papers — median percentile 30. Top paper: “Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth”.

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

Cell Reports Medicine(2021)10.1016/j.xcrm.2021.100323
N/A
2.3DataRank · unranked
110 citations

Bálint Pataki, Roberto Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum +13 more

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.05.130971
N/A
0.385DataRank · unranked
12 citations

Bálint Pataki, Roberto Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum +13 more

High failure rate of ChAdOx1 in healthcare workers during Delta variant surge: A case for continued use of masks post-vaccination

medRxiv(2021)10.1101/2021.02.28.21252621
N/A
0.165DataRank · unranked
2 citations

Akansha Tyagi, Viren Sardana, Salwa Naushin, Nitin Bhatheja, Kartik Kumar +34 more

Accelerating Cough-Based Algorithms for Pulmonary Tuberculosis Screening: Results From the CODA TB DREAM Challenge

Open Forum Infectious Diseases(2025)10.1093/ofid/ofaf572
Top 70%
0.165DataRank
Top 70%2 citations

Solveig K. Sieberts, Mihaja Raberahona, Sophie Huddart, Larsson Omberg, Rivo Andry Rakotoarivelo +50 more

High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge

Nature Communications(2022)10.1038/s41467-022-29404-3
N/A
0DataRank · unranked
10 citations

Akansha Tyagi, Viren Sardana, Salwa Naushin, Nitin Bhatheja, Kartik Kumar +34 more

Fixing the plumbing: Building interoperability between wastewater genomic surveillance datasets and systems using the PHA4GE contextual data specification

(2025)10.31219/osf.io/z79vk_v1
N/A
0DataRank · unranked
3 citations

Charlotte Barclay, Rhiannon Cameron, Damion Dooley, Ivan Gill, Dilip Abraham +48 more

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Molecular Systems Biology(2021)10.15252/msb.202110402
N/A
0DataRank · unranked
14 citations

Marco Tognetti, Alice Driessen, Jovan Tanevski, Baosen Guo, Wencai Cao +90 more