Melissa Llano

407 citations
6 papers · 43 · h-index 4

Impact in

Papers in

Melissa Llano

4 papers receiving 41 citations

Peers

Melissa Llano
Comparison fields: 5 of 31
  • Endocrinology 24
  • Applied Microbiology and Biotechnology 5
  • Critical Care and Intensive Care Medicine 7
  • General Dentistry 2
  • Modeling and Simulation 4
Replace Benoît Pilmis with:
Benoît Pilmis France
Despo Pieridou-Bagatzouni Cyprus
Sofia Dima Greece
Süha Şen Türkiye
Maimuna Carrim South Africa
João Valente Portugal
Silvia Magri Italy
Angela Berselli Italy
Giulia Burastero Italy
Mekonnen Teferi Ethiopia
Melissa Llano relative to Benoît Pilmis France Benoît Pilmis's profile →
Citations per field
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Benoît Pilmis · 1×
Citations per year

Countries citing papers authored by Melissa Llano

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Llano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Melissa Llano, 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 Melissa Llano Line = papers co-authored together Melissa Llano links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 201221
2
National Point Prevalence Survey of Healthcare Associated Infection and Antimicrobial Prescribing 2016
201711
3 20228
4 20193
5 20250
6 20200

About Melissa Llano

Melissa Llano is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology, Public Health, Environmental and Occupational Health and Endocrinology, having authored 6 papers that have together received 43 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Legionella and Acanthamoeba research (2 papers), Infection Control in Healthcare (1 paper), Vibrio bacteria research studies (1 paper), Nosocomial Infections in ICU (1 paper), Emergency and Acute Care Studies (1 paper) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Endocrinology (24 citations), Applied Microbiology and Biotechnology (5 citations), Critical Care and Intensive Care Medicine (7 citations), General Dentistry (2 citations) and Modeling and Simulation (4 citations). Melissa Llano has collaborated with scholars based in United Kingdom. Frequent co-authors include J. Stevenson, C. Lawrence Evans, Martin Donaghy, Jacqueline Sneddon, J. Reilly, Ross Cameron, Diane Lindsay, Andrew Smith, Laura MacDonald and Jennifer Weir. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Antimicrobial Chemotherapy, Eurosurveillance, The Lancet Microbe and Journal of Infection Prevention.

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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