Akram Mohammed
University of Tennessee Health Science Center
ORCID: 0000-0001-8093-8637Pilot 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.
Franco Mársico, Akram Mohammed, Lokesh Chinthala, Ernestine K Amos-Abanyie, Aris Baras +95 more
Papers
Driven by 4 papers — median percentile 35. Top paper: “Machine Learning Identifies Complicated Sepsis Course and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 H Post-ICU Admission”.
Akram Mohammed, Hector R. Wong, Nades Palaniyar, Rishikesan Kamaleswaran, Shayantan Banerjee
Franco Mársico, Akram Mohammed, Lokesh Chinthala, Ernestine K Amos-Abanyie, Aris Baras +95 more
Yash Garg, Philip Yang, Azade Tabaie, An-Kwok Ian Wong, Akram Mohammed +11 more
Akram Mohammed, Surabhi Naik, Daniel Faradji, Kenneth I. Ataga, Jeffrey D. Lebensburger +2 more