Maya Hites

70 papers receiving 1.5k citations

Hit Papers

Combination of pre-adapted bacteriophage therapy and antibiotics for treatment of fracture-related infection due to pandrug-resistant Klebsiella pneumoniae 2022 · 194 citations
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Peers

Maya Hites
Comparison fields: 5 of 100
  • Applied Microbiology and Biotechnology 302
  • Molecular Medicine 335
  • Pharmacology 777
  • Infectious Diseases 417
  • Clinical Biochemistry 149
Replace Nathaniel J. Rhodes with:
Nathaniel J. Rhodes United States
Olaf Burkhardt Germany
Arantxa Isla Spain
Blair Capitano United States
Aisling R. Caffrey United States
Daryl D. DePestel United States
Pier Giorgio Cojutti Italy
Paul R. Ingram Australia
Luisa Sorlí Spain
Evan J Zasowski United States
Maya Hites relative to Nathaniel J. Rhodes United States Nathaniel J. Rhodes's profile →
Citations per field
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Nathaniel J. Rhodes · 1×
Citations per year

Countries citing papers authored by Maya Hites

Since Specialization
Citations

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

Fields of papers citing papers by Maya Hites

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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12 202111
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15 20193
16 201846
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18 20178
19 201690
20 201624

About Maya Hites

Maya Hites is a scholar working on Applied Microbiology and Biotechnology, Pharmacology, Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (35 papers), Antibiotic Use and Resistance (16 papers), Pneumonia and Respiratory Infections (12 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antibiotic Resistance in Bacteria (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers) and Antimicrobial Resistance in Staphylococcus (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (302 citations), Molecular Medicine (335 citations), Pharmacology (777 citations), Infectious Diseases (417 citations) and Clinical Biochemistry (149 citations). Maya Hites has collaborated with scholars based in Belgium, France and Australia. Frequent co-authors include Fabio Silvio Taccone, Frédéric Cotton, Frédérique Jacobs, Jean‐Louis Vincent, Fleur Wolff, Jason A. Roberts, F. Jacobs, Marjorie Beumier, Jeffrey Lipman and Lucie Seyler. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Antimicrobial Agents, Journal of Antimicrobial Chemotherapy, Antimicrobial Agents and Chemotherapy and Antibiotics.

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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