Maya Beganovic

19 papers receiving 512 citations

Peers

Maya Beganovic
Comparison fields: 5 of 69
  • Applied Microbiology and Biotechnology 88
  • Clinical Biochemistry 123
  • Molecular Medicine 92
  • Infectious Diseases 188
  • Epidemiology 144
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Sara Alosaimy United States
Aura Lucía Leal Colombia
Ulrich Stab Jensen Denmark
Joan‐Miquel Balada‐Llasat United States
Alper Tünger Türkiye
Simone M. Shurland United States
Michael J. Rybak United States
Nienke Bruinsma Netherlands
Isabella A. Tickler United States
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Citations per year

Countries citing papers authored by Maya Beganovic

Since Specialization
Citations

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

Fields of papers citing papers by Maya Beganovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Beganovic. 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 Maya Beganovic. The network helps show where Maya Beganovic may publish in the future.

Co-authors

The 25 scholars most cited alongside Maya Beganovic, 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 Maya Beganovic Line = papers co-authored together Maya Beganovic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018162
2 201764
3 202044
4 202039
5 201733
6 201927
7 202025
8 201825
9 201824
10 201920
11 201916
12 202011
13 20219
14 20228
15 20187
16
Communicating with Facility Leadership; Metrics for Successful Antimicrobial Stewardship Programs (Asp) in Acute Care and Long-Term Care Facilities.
20184
17 20211
18 20191
19 20191
20 20190

About Maya Beganovic

Maya Beganovic is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Pharmacology, Epidemiology and Clinical Biochemistry, having authored 21 papers that have together received 521 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (7 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Streptococcal Infections and Treatments (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Antibiotic Resistance in Bacteria (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Infective Endocarditis Diagnosis and Management (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (88 citations), Clinical Biochemistry (123 citations), Molecular Medicine (92 citations), Infectious Diseases (188 citations) and Epidemiology (144 citations). Maya Beganovic has collaborated with scholars based in United States and Colombia. Frequent co-authors include Kerry L. LaPlante, Megan K. Luther, Louis B. Rice, Michael J. Rybak, César A. Arias, Michael Costello, Aisling R. Caffrey, Tristan T. Timbrook, Haley J. Appaneal and Jessica L. Miller. Their work appears in journals such as Open Forum Infectious Diseases, Antimicrobial Agents and Chemotherapy, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology and Infectious Diseases and Therapy.

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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