Daniela Morales-Espinosa
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- Cancer Genomics and Diagnostics 6
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers 5
- Lung Cancer Research Studies 4
- CAR-T cell therapy research 3
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- Lung Cancer Treatments and Mutations 13
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- Immunotherapy and Immune Responses 4
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- Genetic factors in colorectal cancer 3
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- Neuroendocrine Tumor Research Advances 2
- Co-authors
- Rafael RosellNiki KarachaliouSantiago ViteriCristina TeixidóMaría González‐CaoÓscar ArrietaMiguel Ángel Molina‐VilaJulio Sotelo
- Journals
- Journal of Clinical Oncology (6 papers)SHILAP Revista de lepidopterología (2 papers)British Journal of Cancer (2 papers)
- Partner nations
- SpainMexicoUnited States
In The Last Decade
Daniela Morales-Espinosa
23 papers receiving 524 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 155
- Oncology 276
- Pulmonary and Respiratory Medicine 190
- Genetics 44
- Endocrinology, Diabetes and Metabolism 56
Countries citing papers authored by Daniela Morales-Espinosa
This map shows the geographic impact of Daniela Morales-Espinosa'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 Daniela Morales-Espinosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Morales-Espinosa more than expected).
Fields of papers citing papers by Daniela Morales-Espinosa
This network shows the impact of papers produced by Daniela Morales-Espinosa. 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 Daniela Morales-Espinosa. The network helps show where Daniela Morales-Espinosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Morales-Espinosa, 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 | 2025 | 0 | |
| 2 | 2022 | 5 | |
| 3 | 2017 | 95 | |
| 4 | 2017 | 1 | |
| 5 | 2017 | 12 | |
| 6 | 2016 | 16 | |
| 7 | 2016 | 20 | |
| 8 | 2016 | 1 | |
| 9 | 2016 | 114 | |
| 10 | 2016 | 2 | |
| 11 | 2015 | 4 | |
| 12 | 2015 | 34 | |
| 13 | 2015 | 32 | |
| 14 | 2014 | 30 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 35 | |
| 17 | 2008 | 60 | |
| 18 | 2007 | 0 | |
| 19 | 2006 | 34 | |
| 20 | 2006 | 4 |
About Daniela Morales-Espinosa
Daniela Morales-Espinosa is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 534 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Research Studies (4 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers), Genetic factors in colorectal cancer (3 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Cancer Research (155 citations), Oncology (276 citations) and Pulmonary and Respiratory Medicine (190 citations). Daniela Morales-Espinosa has collaborated with scholars based in Spain, Mexico and United States. Frequent co-authors include Rafael Rosell, Niki Karachaliou, Santiago Viteri, Cristina Teixidó, María González‐Cao, Óscar Arrieta, Miguel Ángel Molina‐Vila, Julio Sotelo, María González Cao and Mónica Garzón. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and British Journal of Cancer.
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.