Máxima Lizán-García
- Epidemiology
- Surgery
- Pharmacology
- Cardiology and Cardiovascular Medicine
- Psychiatry and Mental health
- Co-authors
- Ángel AsensioJ. García-CaballeroManuel Gerónimo‐PardoÓscar FusterLeonardo Landa RiveraÁngel Otero PuimeDamián García‐OlmoJulio Escribano
- Topics
- Nosocomial Infections in ICU (3 papers)Surgical site infection prevention (3 papers)Cardiac, Anesthesia and Surgical Outcomes (3 papers)
- Cited by
- Applied Microbiology and BiotechnologyCritical Care and Intensive Care MedicineEmergency Medical Services
- Partner nations
- SpainUnited StatesPoland
In The Last Decade
Máxima Lizán-García
14 papers receiving 348 citations
Peers
Comparison fields: 5 of 70
- Epidemiology 165
- Surgery 110
- Pharmacology 68
- Cardiology and Cardiovascular Medicine 62
- Psychiatry and Mental health 43
Countries citing papers authored by Máxima Lizán-García
This map shows the geographic impact of Máxima Lizán-García'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 Máxima Lizán-García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Máxima Lizán-García more than expected).
Fields of papers citing papers by Máxima Lizán-García
This network shows the impact of papers produced by Máxima Lizán-García. 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 Máxima Lizán-García. The network helps show where Máxima Lizán-García may publish in the future.
Co-authorship network of co-authors of Máxima Lizán-García
This figure shows the co-authorship network connecting the top 25 collaborators of Máxima Lizán-García. A scholar is included among the top collaborators of Máxima Lizán-García based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Máxima Lizán-García. Máxima Lizán-García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 78 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 18 | |
| 7 | 106 | |
| 8 | 35 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 72 | |
| 14 | 36 |
About Máxima Lizán-García
Máxima Lizán-García is a scholar working on Critical Care and Intensive Care Medicine, Nephrology and Emergency Medical Services, having authored 14 papers that have together received 375 indexed citations. Recurring topics across this work include Nosocomial Infections in ICU (3 papers), Surgical site infection prevention (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (27 citations), Critical Care and Intensive Care Medicine (30 citations) and Emergency Medical Services (40 citations). Máxima Lizán-García has collaborated with scholars based in Spain, United States and Poland. Frequent co-authors include Ángel Asensio, J. García-Caballero, Manuel Gerónimo‐Pardo, Óscar Fuster, Leonardo Landa Rivera, Ángel Otero Puime, Damián García‐Olmo, Julio Escribano, Dolores C. Garcı́a-Olmo and Aurelio Tobı́as. Their work appears in journals such as PEDIATRICS, Intensive Care Medicine and Infection Control and Hospital Epidemiology.
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.