Sheldon M. Markowitz

1.7k citations
52 papers · 1.5k · h-index 22

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 10
    • Antifungal resistance and susceptibility 4
    • Clostridium difficile and Clostridium perfringens research 3
    • Infective Endocarditis Diagnosis and Management 7
    • Fungal Infections and Studies 4

Sheldon M. Markowitz

51 papers receiving 1.3k citations

Peers

Sheldon M. Markowitz
Comparison fields: 5 of 102
  • Molecular Medicine 317
  • Endocrinology 282
  • Clinical Biochemistry 275
  • Infectious Diseases 657
  • Applied Microbiology and Biotechnology 36
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Citations per year

Countries citing papers authored by Sheldon M. Markowitz

Since Specialization
Citations

This map shows the geographic impact of Sheldon M. Markowitz'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 Sheldon M. Markowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheldon M. Markowitz more than expected).

Fields of papers citing papers by Sheldon M. Markowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheldon M. Markowitz. 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 Sheldon M. Markowitz. The network helps show where Sheldon M. Markowitz may publish in the future.

Co-authors

The 25 scholars most cited alongside Sheldon M. Markowitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sheldon M. Markowitz Line = papers co-authored together Sheldon M. Markowitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991168
2 1981124
3 198099
4 199290
5 198076
6 198361
7 199257
8 197554
9 199250
10 198740
11 199040
12 198038
13 200237
14 199135
15 197832
16
Experimental Acanthamoeba infections in mice pretreated with methylprednisolone or tetracycline.
197831
17 199130
18 198729
19 198427
20 197526

About Sheldon M. Markowitz

Sheldon M. Markowitz is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Endocrinology and Pharmacology, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Infective Endocarditis Diagnosis and Management (7 papers), Bacterial Identification and Susceptibility Testing (6 papers), Fungal Infections and Studies (4 papers), Antifungal resistance and susceptibility (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Molecular Medicine (317 citations), Endocrinology (282 citations), Clinical Biochemistry (275 citations), Infectious Diseases (657 citations) and Applied Microbiology and Biotechnology (36 citations). Sheldon M. Markowitz has collaborated with scholars based in United States, Australia and France. Frequent co-authors include P E Coudron, Edward S. Wong, C. Jeffrey Smith, Richard J. Duma, Francis L. Macrina, B E Murray, A. J. Martinez, V. Archer Lamb, C. G. Mayhall and Susan M. Smith. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Infection Control and Hospital Epidemiology, The Journal of Infectious Diseases and CHEST Journal.

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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