Michael Barza

10.3k total citations · 1 hit paper
182 papers, 7.6k citations indexed

About

Michael Barza is a scholar working on Pharmacology, Ophthalmology and Infectious Diseases. According to data from OpenAlex, Michael Barza has authored 182 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Pharmacology, 46 papers in Ophthalmology and 34 papers in Infectious Diseases. Recurrent topics in Michael Barza's work include Antibiotics Pharmacokinetics and Efficacy (64 papers), Ocular Infections and Treatments (41 papers) and Intraocular Surgery and Lenses (29 papers). Michael Barza is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (64 papers), Ocular Infections and Treatments (41 papers) and Intraocular Surgery and Lenses (29 papers). Michael Barza collaborates with scholars based in United States, Romania and United Kingdom. Michael Barza's co-authors include Jules Baum, A Kane, Joseph T. F. Lau, Karin Travers, L Weinstein, Louis Weinstein, N V Jacobus, John P. A. Ioannidis, Norma Terrin and Francis C. Szoka and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Michael Barza

179 papers receiving 6.8k citations

Hit Papers

Spectrum and Susceptibilities of Microbiologic Isolates i... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers

Michael Barza
Comparison fields: 5 of 154
  • Pharmacology 2.0k
  • Ophthalmology 1.9k
  • Epidemiology 1.5k
  • Infectious Diseases 1.3k
  • Molecular Medicine 1.1k
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Citations per field, relative to Michael Barza
Michael Barza · 1×
Citations per year, relative to Michael Barza
Michael Barza · 1×

Countries citing papers authored by Michael Barza

Since Specialization
Citations

This map shows the geographic impact of Michael Barza's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Barza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Barza more than expected).

Fields of papers citing papers by Michael Barza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Barza. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Barza. The network helps show where Michael Barza may publish in the future.

Co-authorship network of co-authors of Michael Barza

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Barza. A scholar is included among the top collaborators of Michael Barza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Barza. Michael Barza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 19
2 25
3
The Need to Improve Antimicrobial Use in Agriculture: Ecological and Human Health Consequences. A Report of the Facts about Antibiotics in Animals and the Impact on Resistance (FAAIR) Project
5
4 144
5 20
6 102
7 15
8 42
9 64
10 176
11 320
12 7
13 37
14 51
15 63
16 20
17 6
18
A critique of animal models in antibiotic research.
21
19
Antimicrobial spectrum, pharmacology, and therapeutic use of antibiotics. IV. Aminoglycosides.
14
20 5

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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