Diego Carbonell
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
- Hematology 16
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 8
- Oncology 10
- CAR-T cell therapy research 8
- Co-authors
- Ismael Buño (23 shared papers)Mi Kwon (24 shared papers)Carolina Martínez‐Laperche (22 shared papers)José L. Díez‐Martín (22 shared papers)Javier Anguita (16 shared papers)Rafael Correa‐Rocha (6 shared papers)Mariana Bastos‐Oreiro (11 shared papers)Rebeca Bailén (12 shared papers)
- Journals
- Frontiers in Immunology (6 papers)Cancers (3 papers)Scientific Reports (2 papers)Annals of Hematology (2 papers)Transplantation and Cellular Therapy (2 papers)
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Diego Carbonell
29 papers receiving 254 citations
Peers
Comparison fields: 5 of 51
- Hematology 116
- Transplantation 10
- Genetics 38
- Immunology 61
- Infectious Diseases 50
Countries citing papers authored by Diego Carbonell
This map shows the geographic impact of Diego Carbonell'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 Diego Carbonell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Carbonell more than expected).
Fields of papers citing papers by Diego Carbonell
This network shows the impact of papers produced by Diego Carbonell. 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 Diego Carbonell. The network helps show where Diego Carbonell may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Carbonell, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 26 | |
| 2 | 2019 | 22 | |
| 3 | 2018 | 21 | |
| 4 | 2021 | 19 | |
| 5 | 2020 | 19 | |
| 6 | 2022 | 14 | |
| 7 | 2019 | 14 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 9 | |
| 13 | 2018 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 4 |
About Diego Carbonell
Diego Carbonell is a scholar working on Hematology, Oncology, Genetics, Immunology and Infectious Diseases, having authored 31 papers that have together received 258 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (8 papers), CAR-T cell therapy research (8 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (4 papers), Immune Cell Function and Interaction (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (116 citations), Transplantation (10 citations), Genetics (38 citations), Immunology (61 citations) and Infectious Diseases (50 citations). Diego Carbonell has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Ismael Buño, Mi Kwon, Carolina Martínez‐Laperche, José L. Díez‐Martín, Javier Anguita, Rafael Correa‐Rocha, Mariana Bastos‐Oreiro, Rebeca Bailén, Luis A. López‐Fernández and Jorge Gayoso. Their work appears in journals such as Frontiers in Immunology, Cancers, Scientific Reports, Annals of Hematology and Transplantation and Cellular Therapy.
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.