Daniel Morillo
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Blood groups and transfusion
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- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Oncology 21
- CAR-T cell therapy research 10
- Peptidase Inhibition and Analysis 4
- Cancer Treatment and Pharmacology 2
- Hematology 13
- Multiple Myeloma Research and Treatments 9
- Acute Myeloid Leukemia Research 3
- Co-authors
- Paula Rodríguez‐Otero (10 shared papers)María‐Victoria Mateos (8 shared papers)Albert Oriol (8 shared papers)Raúl Córdoba (9 shared papers)Arnob Banerjee (4 shared papers)Bhagirathbhai Dholaria (4 shared papers)Sung‐Soo Yoon (4 shared papers)Víctor Moreno (4 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Blood (5 papers)HemaSphere (3 papers)Cancer (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Daniel Morillo
25 papers receiving 271 citations
Peers
Comparison fields: 5 of 47
- Hematology 152
- Oncology 141
- Genetics 32
- Radiology, Nuclear Medicine and Imaging 66
- Immunology 60
Countries citing papers authored by Daniel Morillo
This map shows the geographic impact of Daniel Morillo'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 Morillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Morillo more than expected).
Fields of papers citing papers by Daniel Morillo
This network shows the impact of papers produced by Daniel Morillo. 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 Morillo. The network helps show where Daniel Morillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Morillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 58 | |
| 2 | 2023 | 41 | |
| 3 | 2022 | 30 | |
| 4 | 2018 | 28 | |
| 5 | 2014 | 26 | |
| 6 | 2022 | 22 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Daniel Morillo
Daniel Morillo is a scholar working on Oncology, Hematology, Molecular Biology, Genetics and Immunology, having authored 30 papers that have together received 275 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Multiple Myeloma Research and Treatments (9 papers), Protein Degradation and Inhibitors (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Peptidase Inhibition and Analysis (4 papers), Acute Myeloid Leukemia Research (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (152 citations), Oncology (141 citations), Genetics (32 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Immunology (60 citations). Daniel Morillo has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Paula Rodríguez‐Otero, María‐Victoria Mateos, Albert Oriol, Raúl Córdoba, Arnob Banerjee, Bhagirathbhai Dholaria, Sung‐Soo Yoon, Víctor Moreno, Anita D’Souza and Marie-Anne Damiette Smit. Their work appears in journals such as Journal of Clinical Oncology, Blood, HemaSphere, Cancer and Clinical Cancer 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.