Daniel López-Herrera
Impact in
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- Nosocomial Infections in ICU
- Intensive Care Unit Cognitive Disorders
Papers in
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- Lung Cancer Diagnosis and Treatment 2
- Respiratory Support and Mechanisms 2
- Gastric Cancer Management and Outcomes 2
- Surgery 2
- Enhanced Recovery After Surgery 2
- Co-authors
- Manuel de la Matta (3 shared papers)Ana Isabel Blanco Orozco (2 shared papers)César Alejandro Arce-Salinas (1 shared paper)
- Journals
- Anaesthesia Critical Care & Pain Medicine (1 paper)Revista Española de Anestesiología y Reanimación (1 paper)SHILAP Revista de lepidopterología (1 paper)Cirugía Española (1 paper)Cirugía Española (English Edition) (1 paper)
- Partner nations
- SpainUnited StatesMexico
In The Last Decade
Daniel López-Herrera
5 papers receiving 10 citations
Peers
Comparison fields: 5 of 14
- Critical Care and Intensive Care Medicine 4
- Equine 1
- Anesthesiology and Pain Medicine 2
- Clinical Biochemistry 2
- Radiological and Ultrasound Technology 1
Countries citing papers authored by Daniel López-Herrera
This map shows the geographic impact of Daniel López-Herrera'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 Daniel López-Herrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel López-Herrera more than expected).
Fields of papers citing papers by Daniel López-Herrera
This network shows the impact of papers produced by Daniel López-Herrera. 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 Daniel López-Herrera. The network helps show where Daniel López-Herrera may publish in the future.
Co-authors
The 3 scholars most cited alongside Daniel López-Herrera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 3 | |
| 2 | 2022 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2013 | 1 |
About Daniel López-Herrera
Daniel López-Herrera is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Anesthesiology and Pain Medicine, Infectious Diseases and Critical Care and Intensive Care Medicine, having authored 5 papers that have together received 10 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (2 papers), Airway Management and Intubation Techniques (2 papers), Enhanced Recovery After Surgery (2 papers), Respiratory Support and Mechanisms (2 papers), Gastric Cancer Management and Outcomes (2 papers), Anesthesia and Sedative Agents (1 paper), COVID-19 Clinical Research Studies (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (4 citations), Equine (1 citation), Anesthesiology and Pain Medicine (2 citations), Clinical Biochemistry (2 citations) and Radiological and Ultrasound Technology (1 citation). Daniel López-Herrera has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Manuel de la Matta, Ana Isabel Blanco Orozco and César Alejandro Arce-Salinas. Their work appears in journals such as Anaesthesia Critical Care & Pain Medicine, Revista Española de Anestesiología y Reanimación, SHILAP Revista de lepidopterología, Cirugía Española and Cirugía Española (English Edition).
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.