Mercedes Nieto

About

Mercedes Nieto is a scholar working on Epidemiology, Infectious Diseases and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Mercedes Nieto has authored 20 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Infectious Diseases and 6 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Mercedes Nieto’s work include Nosocomial Infections in ICU (6 papers), Pneumonia and Respiratory Infections (5 papers) and Antibiotic Use and Resistance (5 papers). Mercedes Nieto is often cited by papers focused on Nosocomial Infections in ICU (6 papers), Pneumonia and Respiratory Infections (5 papers) and Antibiotic Use and Resistance (5 papers). Mercedes Nieto collaborates with scholars based in Spain, United States and Argentina. Mercedes Nieto's co-authors include Rafael Zaragoza, Pablo Vidal, Emili Dı́az, Ricard Ferrer, Alejandro Rodríguez, Ignacio Martín‐Loeches, Gerardo Aguilar, Paula Ramírez, Javier Veganzones and Jürgen Floege and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, Critical Care and Antibiotics.

In The Last Decade

Co-authorship network of co-authors of Mercedes Nieto i

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Fields of papers citing papers by Mercedes Nieto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mercedes Nieto

Since Specialization

Citations

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

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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