Profile
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Dhruvitkumar Sutaria

Bio

I am currently creating novel, urgently needed receptor binding data for β-lactam antibiotics to inform novel combination therapies which can combat multidrug-resistant bacterial ‘superbugs’. Within Dr. Juergen Bulitta’s team, I am employing a translational approach which leverages these molecular insights to inform innovative antibiotic combination dosing strategies for latest dynamic in vitro and animal infection models.

Ultimately, these data uniquely inform translational Quantitative and Systems Pharmacology (QSP) models to rationally optimize patient therapies. I serve as a lead modeler for the application of such QSP models on an FDA project and I am developing population pharmacokinetic / pharmacodynamic models for cystic fibrosis patients based on data from clinical studies.

While completing my Ph.D. in Pharmaceutics from The Ohio State University, I acquired a wide range of experimental skill sets in the areas of drug development, molecular biology, gene editing / cellular engineering. Founded on my exceptionally strong molecular background and skill-sets, I seek to bridge between molecular and ‘omics’ studies to latest translational, mathematical modeling.

Editorial Board Memberships

Dhruvitkumar is not currently contributing as an editor for any journal or publisher.

Pre Publication Reviews

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Reviews

40

Reviews (last 12 months)

35

Reviews (average per year)

38

Merit

129

Openness

1.3%

Review to Publication ratio

4:1


Journal Impact Factors of journals reviewed for

The distribution of the Journal Impact Factors of journals Dhruvitkumar Sutaria has reviewed for.

Dhruvitkumar Sutaria

All fields reviewers

Total reviews over time

A cumulative record of Dhruvitkumar Sutaria's total number of reviews.

Reviews per month

The total number of reviews performed by Dhruvitkumar Sutaria each month.

Average review length

The average number of words per review (for which we have content), compared to the average of All fields reviewers and the average of reviewers at affiliated institutions.

Weekly review punchcard

The distribution of days that reviews were performed on, compared to All fields reviewers and reviewers at affiliated institutions.