Chinedu Ugwu
ORCID: 0000-0002-6347-1593Pilot 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.
Indexed papers
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.
Chinedu Ugwu, Christian Happi, Anise N. Happi
Papers
Driven by 5 papers — median percentile 87. Top paper: “Tracking the emergence of new SARS-CoV-2 variants in South Africa”.
Chinedu Ugwu, Christian Happi, Anise N. Happi
Paul E. Oluniyi, Judith U. Oguzie, Jessica N. Uwanibe, Adeyemi T. Kayode, Testimony Olumade +95 more
Adeyemi T. Kayode, Paul E. Oluniyi, Kazeem Akano, Idowu B. Olawoye, Chinedu Ugwu +3 more
Paul E. Oluniyi, Judith U. Oguzie, Jessica N. Uwanibe, Adeyemi T. Kayode, Testimony Olumade +95 more
Testimony Olumade, Ebenezer Nwakpakpa, Venatius Onyia, Elizabeth Odeh, Rosemary Ogonna Duruiheoma +38 more