Luisa Morales‐Nebreda
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Epidemiology top 10%
- Physiology top 10%
- Co-authors
- G. R. Scott BudingerAlexander V. MisharinHarris PerlmanGökhan M. MutluBenjamin D. SingerKaren M. RidgePaul ChereshDaniela Urich
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers)Respiratory Support and Mechanisms (4 papers)Respiratory viral infections research (4 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- United StatesJapanGermany
In The Last Decade
Luisa Morales‐Nebreda
33 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 813
- Pulmonary and Respiratory Medicine 745
- Molecular Biology 689
- Epidemiology 403
- Physiology 277
Countries citing papers authored by Luisa Morales‐Nebreda
This map shows the geographic impact of Luisa Morales‐Nebreda'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 Luisa Morales‐Nebreda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Morales‐Nebreda more than expected).
Fields of papers citing papers by Luisa Morales‐Nebreda
This network shows the impact of papers produced by Luisa Morales‐Nebreda. 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 Luisa Morales‐Nebreda. The network helps show where Luisa Morales‐Nebreda may publish in the future.
Co-authorship network of co-authors of Luisa Morales‐Nebreda
This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Morales‐Nebreda. A scholar is included among the top collaborators of Luisa Morales‐Nebreda 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 Luisa Morales‐Nebreda. Luisa Morales‐Nebreda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 22 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 39 | |
| 8 | 87 | |
| 9 | 58 | |
| 10 | 18 | |
| 11 | 36 | |
| 12 | 75 | |
| 13 | 210 | |
| 14 | 9 | |
| 15 | 134 | |
| 16 | 34 | |
| 17 | 44 | |
| 18 | 23 | |
| 19 | 39 | |
| 20 | Flow Cytometric Analysis of Macrophages and Dendritic Cell Subsets in the Mouse Lungbreakdown → | 637 |
About Luisa Morales‐Nebreda
Luisa Morales‐Nebreda is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology and Immunology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Respiratory Support and Mechanisms (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Immunology (813 citations), Pulmonary and Respiratory Medicine (745 citations) and Immunology and Allergy (91 citations). Luisa Morales‐Nebreda has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include G. R. Scott Budinger, Alexander V. Misharin, Harris Perlman, Gökhan M. Mutlu, Benjamin D. Singer, Karen M. Ridge, Paul Cheresh, Daniela Urich, David W. Kamp and Yuan Cheng. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.