Akhil Bhargava

MedicineBiochemistry, 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 100%percentile

0Author 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 →

Papers

Driven by 2 papers. Top paper: “Analysis of Protein Biomarkers From Hospitalized COVID-19 Patients Reveals Severity-Specific Signatures and Two Distinct Latent Profiles With Differential Responses to Corticosteroids*”.

Analysis of Protein Biomarkers From Hospitalized COVID-19 Patients Reveals Severity-Specific Signatures and Two Distinct Latent Profiles With Differential Responses to Corticosteroids*

Critical Care Medicine(2023)10.1097/ccm.0000000000005983

N/A

0.464DataRank · unranked

21 citations

Alexandra B. Spicer, Carlos Lopez-Espina, Akhil Bhargava, Lee Schmalz, Matthew D. Sims +17 more

Development and Validation of the First FDA Authorized Artificial Intelligence/Machine Learning Diagnostic Tool for the Prediction of Sepsis Risk

medRxiv(2024)10.1101/2024.05.06.24306954

N/A

0DataRank · unranked

1 citations

Carlos G. Lopez-Espina, Lee Schmalz, Shah Alam Khan, Gregory L. Watson, Dennys Urdiales +47 more