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

Omar Mwalim

Ministry of Health

ORCID: 0000-0002-0791-1937

Also affiliated with University of Bergen

Business, Management and AccountingMedicineEconomics, Econometrics and Finance

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 1%percentile
5.6Author 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.

Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries

Diabetes Care(2020)10.2337/dc19-1782
Top 4%
5.6DataRank
Top 4%174 citations

Maja E. Marcus, Cara Ebert, Nikolaos Prodromidis, Pascal Geldsetzer, Michaela Theilmann +38 more

Papers

Driven by 5 papers — median percentile 96. Top paper: “Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries”.

Diabetes Prevalence and Its Relationship With Education, Wealth, and BMI in 29 Low- and Middle-Income Countries

Diabetes Care(2020)10.2337/dc19-1782
Top 4%
5.6DataRank
Top 4%174 citations

Maja E. Marcus, Cara Ebert, Nikolaos Prodromidis, Pascal Geldsetzer, Michaela Theilmann +38 more

Body-mass index and diabetes risk in 57 low-income and middle-income countries: a cross-sectional study of nationally representative, individual-level data in 685 616 adults

The Lancet(2021)10.1016/s0140-6736(21)00844-8
N/A
0DataRank · unranked
159 citations

Jacqueline A. Seiglie, Pascal Geldsetzer, Michaela Theilmann, Maja E. Marcus, Cara Ebert +40 more

The socioeconomic gradient of alcohol use: an analysis of nationally representative survey data from 55 low-income and middle-income countries

The Lancet Global Health(2022)10.1016/s2214-109x(22)00273-x
N/A
0DataRank · unranked
40 citations

Pascal Geldsetzer, Jen Manne-Goehler, Michaela Theilmann, Maja E. Marcus, Zhaxybay Zhumadilov +17 more

Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data

The Lancet Global Health(2023)10.1016/s2214-109x(23)00348-0
N/A
0DataRank · unranked
43 citations

David Flood, Maja E. Marcus, Michaela Theilmann, Taing N. Aung, Kokou Agoudavi +31 more

Diagnostic testing for hypertension, diabetes, and hypercholesterolaemia in low-income and middle-income countries: a cross-sectional study of data for 994 185 individuals from 57 nationally representative surveys

The Lancet Global Health(2023)10.1016/s2214-109x(23)00280-2
N/A
0DataRank · unranked
26 citations

Isabelle von Polenz, Maja E. Marcus, Michaela Theilmann, David Flood, Kokou Agoudavi +37 more