Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Login and Edit functionaility are currrently unavailable.

Stephen Harvey Zinner, M.D.


This page shows the publications Stephen Zinner has written about Streptococcus pneumoniae.
Connection Strength

  1. Comparative pharmacodynamics of the new fluoroquinolone ABT492 and levofloxacin with Streptococcus pneumoniae in an in vitro dynamic model. Int J Antimicrob Agents. 2005 May; 25(5):409-13.
    View in: PubMed
    Score: 0.198
  2. Emergence of resistant Streptococcus pneumoniae in an in vitro dynamic model that simulates moxifloxacin concentrations inside and outside the mutant selection window: related changes in susceptibility, resistance frequency and bacterial killing. J Antimicrob Chemother. 2003 Oct; 52(4):616-22.
    View in: PubMed
    Score: 0.177
  3. The pharmacodynamics of gatifloxacin and ciprofloxacin for pneumococci in an in vitro dynamic model: prediction of equiefficient doses. J Antimicrob Chemother. 2001 Dec; 48(6):821-6.
    View in: PubMed
    Score: 0.156
  4. Comparative activities of ciprofloxacin and levofloxacin against Streptococcus pneumoniae in an In vitro dynamic model. Antimicrob Agents Chemother. 2000 Mar; 44(3):773-4.
    View in: PubMed
    Score: 0.139
  5. Resistance studies with Streptococcus pneumoniae using an in vitro dynamic model: amoxicillin versus azithromycin at clinical exposures. J Chemother. 2019 Sep; 31(5):252-260.
    View in: PubMed
    Score: 0.132
  6. Comparative pharmacodynamics of telithromycin and clarithromycin with Streptococcus pneumoniae and Staphylococcus aureus in an in vitro dynamic model: focus on clinically achievable antibiotic concentrations. Int J Antimicrob Agents. 2005 Sep; 26(3):197-204.
    View in: PubMed
    Score: 0.051
  7. Comparative pharmacodynamics of azithromycin and roxithromycin with S. pyogenes and S. pneumoniae in a model that simulates in vitro pharmacokinetics in human tonsils. J Antimicrob Chemother. 2002 Jan; 49(1):113-9.
    View in: PubMed
    Score: 0.039
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.