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

Nicholas Bbosa

Makerere University

ORCID: 0000-0003-1280-675X

Also affiliated with Uganda Virus Research Institute

Immunology and MicrobiologyMedicineBiochemistry, Genetics and Molecular Biology

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
0.940Author DataRank

Indexed papers

4in 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 4 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 →

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.

Phylogenetic Networks and Parameters Inferred from HIV Nucleotide Sequences of High-Risk and General Population Groups in Uganda: Implications for Epidemic Control

Viruses(2021)10.3390/v13060970
Top 26%
0.776DataRank
Top 26%8 citations

Deogratius Ssemwanga, Rebecca N. Nsubuga, Noah Kiwanuka, Bernard S. Bagaya, John M. Kitayimbwa +5 more

Papers

Driven by 6 papers — median percentile 52. Top paper: “Phylogenetic Networks and Parameters Inferred from HIV Nucleotide Sequences of High-Risk and General Population Groups in Uganda: Implications for Epidemic Control”.

Phylogenetic Networks and Parameters Inferred from HIV Nucleotide Sequences of High-Risk and General Population Groups in Uganda: Implications for Epidemic Control

Viruses(2021)10.3390/v13060970
Top 26%
0.776DataRank
Top 26%8 citations

Deogratius Ssemwanga, Rebecca N. Nsubuga, Noah Kiwanuka, Bernard S. Bagaya, John M. Kitayimbwa +5 more

HIV-1 drug resistance genotyping success rates and correlates of Dried-blood spots and plasma specimen genotyping failure in a resource-limited setting

BMC Infectious Diseases(2022)10.1186/s12879-022-07453-9
N/A
0.662DataRank · unranked
17 citations

Nicholas Bbosa, Dan Bugembe Lule, Maria Nannyonjo, Sandra Lunkuse, Faridah Nassolo +5 more

HIVseqDB: a portable resource for NGS and sample metadata integration for HIV-1 drug resistance analysis

Bioinformatics Advances(2024)10.1093/bioadv/vbae008
Top 70%
0.165DataRank
Top 70%2 citations

Daudi Jjingo, Nicholas Bbosa, Daniel Lule Bugembe, David Patrick Kateete, I. King Jordan +3 more

HIV-1 drug resistance genotyping success rates and correlates of Dried-blood spots and plasma specimen genotyping failure in a resource-limited setting

10.21203/rs.3.rs-1345687/v1
N/A
0.151DataRank · unranked
1 citations

Nicholas Bbosa, Dan Bugembe Lule, Maria Nannyonjo, Sandra Lunkuse, Faridah Nassolo +5 more

Pervasive and non-random recombination in near full-length HIV genomes from Uganda

Virus Evolution(2020)10.1093/ve/veaa004
N/A
0DataRank · unranked
26 citations

Emma B. Hodcroft, Deogratius Ssemwanga, John M. Kitayimbwa, Gonzalo Yebra, Luis Roger Esquivel Gomez +17 more

QuasiFlow: a Nextflow pipeline for analysis of NGS-based HIV-1 drug resistance data

Bioinformatics Advances(2022)10.1093/bioadv/vbac089
N/A
0DataRank · unranked
3 citations

Daudi Jjingo, Ibra Lujumba, Nicholas Bbosa, Daniel Lule Bugembe, David Patrick Kateete +4 more