Sileshi Fanta Melesse

Umkhuseli Innovation and Research Management

Also affiliated with University of KwaZulu-Natal

MedicineMathematicsNursingEnvironmental 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

0.208Author 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 →

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

Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa

African Health Sciences(2020)10.4314/ahs.v20i4.7

Top 65%

0.208DataRank

Top 65%3 citations

Sileshi Fanta Melesse, Henry Mwambi, Dawit Getnet Ayele, Ashenfai A Yirga

Papers

Driven by 4 papers — median percentile 35. Top paper: “Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa”.