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

Mercedes Balcells

Massachusetts Institute of Technology

ORCID: 0000-0002-2532-0516
Biochemistry, Genetics and Molecular BiologyEngineeringMedicine

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 5%percentile
0.426Author 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.

Top 44%5 citations

Jessica Pavani, Chunyu Liu, Mercedes Balcells, Robson Capasso, Rafael de Oliveira Alvim +4 more

Papers

Driven by 4 papers — median percentile 56. Top paper: Comparing different metabolic indexes to predict type 2 diabetes mellitus in a five years follow-up cohort: The Baependi Heart Study.

Top 44%5 citations

Jessica Pavani, Chunyu Liu, Mercedes Balcells, Robson Capasso, Rafael de Oliveira Alvim +4 more

33 citations

Debbie Lin Teodorescu, Meagan Rowlett, Sophie X. Wang, Mercedes Balcells, Clara Park +8 more

5 citations

Alejandro Aranda, Pau Teixidó, Carlota Molhoek, Inés Moreno-Jiménez, G. Febas +8 more

6 citations

Oriol Bosch, Rebecca E. Zubajlo, Gemma Molins, Sofia Comfort, Ainara Luque-Saavedra +9 more