Filippos Anagnostakis

Also affiliated with Laboratoire d’Imagerie Biomédicale, Artificial Intelligence in Medicine (Canada), Columbia University, University of Bologna

MedicineBiochemistry, Genetics and Molecular BiologyPsychology

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 3%percentile

1.7Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Global, regional, and national burden of chronic kidney disease in adults, 1990–2023, and its attributable risk factors: a systematic analysis for the Global Burden of Disease Study 2023

The Lancet(2025)10.1016/s0140-6736(25)01853-7

Top 12%

1.7DataRank

Top 12%212 citations

Lauryn K Stafford, Morgan E. Grams, Hasan Aalruz, Samar Abd ElHafeez, Ahmed A. Abdelgalil +95 more

Papers

Driven by 7 papers — median percentile 88. Top paper: “Global, regional, and national burden of chronic kidney disease in adults, 1990–2023, and its attributable risk factors: a systematic analysis for the Global Burden of Disease Study 2023”.