Marc Cucurull
Impact in
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- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
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- Lung Cancer Treatments and Mutations
Papers in
- Oncology 14
- Cancer Immunotherapy and Biomarkers 7
- Peptidase Inhibition and Analysis 4
- Lung Cancer Research Studies 3
- Inflammatory Biomarkers in Disease Prognosis 2
- COVID-19 and healthcare impacts 2
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- Teresa Morán (11 shared papers)Maria Saigí (9 shared papers)Enric Carcereny (9 shared papers)Marta Doménech (8 shared papers)Ainhoa Hernández (7 shared papers)Anna Estival (2 shared papers)Montse Sánchez‐Céspedes (4 shared papers)Andrea Plaja (4 shared papers)
In The Last Decade
Marc Cucurull
17 papers receiving 114 citations
Peers
Comparison fields: 5 of 37
- Oncology 73
- Pulmonary and Respiratory Medicine 30
- Hepatology 6
- Cancer Research 8
- Immunology 9
Countries citing papers authored by Marc Cucurull
This map shows the geographic impact of Marc Cucurull'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 Marc Cucurull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Cucurull more than expected).
Fields of papers citing papers by Marc Cucurull
This network shows the impact of papers produced by Marc Cucurull. 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 Marc Cucurull. The network helps show where Marc Cucurull may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Cucurull, 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 | 22 | |
| 2 | 2019 | 19 | |
| 3 | 2020 | 15 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 12 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 2022 | 1 |
About Marc Cucurull
Marc Cucurull is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Infectious Diseases and Reproductive Medicine, having authored 17 papers that have together received 116 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Peptidase Inhibition and Analysis (4 papers), Lung Cancer Research Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Lung Cancer Treatments and Mutations (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Oncology (73 citations), Pulmonary and Respiratory Medicine (30 citations), Hepatology (6 citations), Cancer Research (8 citations) and Immunology (9 citations). Marc Cucurull has collaborated with scholars based in Spain and Mexico. Frequent co-authors include Teresa Morán, Maria Saigí, Enric Carcereny, Marta Doménech, Ainhoa Hernández, Anna Estival, Montse Sánchez‐Céspedes, Andrea Plaja, Cinta Hierro and Isabel Salinas. Their work appears in journals such as Frontiers in Oncology, Translational Lung Cancer Research, Journal of Thoracic Oncology, International Journal of Molecular Sciences and Molecular Oncology.
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.