Rafael Hernani
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Polyomavirus and related diseases
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
- Oncology 18
- CAR-T cell therapy research 13
- Polyomavirus and related diseases 4
- Epidemiology 10
- Respiratory viral infections research 6
- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Carlos Solano (25 shared papers)Ariadna Pérez (19 shared papers)José Luís Piñana (20 shared papers)Manuel Guerreiro (13 shared papers)David Navarro (16 shared papers)Juan Carlos Hernández‐Boluda (21 shared papers)Estela Giménez (12 shared papers)Mi Kwon (6 shared papers)
In The Last Decade
Rafael Hernani
26 papers receiving 341 citations
Peers
Comparison fields: 5 of 46
- Oncology 243
- Hematology 91
- Transplantation 15
- Epidemiology 100
- Genetics 56
Countries citing papers authored by Rafael Hernani
This map shows the geographic impact of Rafael Hernani'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 Rafael Hernani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Hernani more than expected).
Fields of papers citing papers by Rafael Hernani
This network shows the impact of papers produced by Rafael Hernani. 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 Rafael Hernani. The network helps show where Rafael Hernani may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafael Hernani, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2021 | 42 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 21 | |
| 7 | 2021 | 15 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 2 |
About Rafael Hernani
Rafael Hernani is a scholar working on Oncology, Epidemiology, Hematology, Infectious Diseases and Electrical and Electronic Engineering, having authored 32 papers that have together received 343 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Hematopoietic Stem Cell Transplantation (8 papers), Respiratory viral infections research (6 papers), Virus-based gene therapy research (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Polyomavirus and related diseases (4 papers), Animal Virus Infections Studies (3 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Oncology (243 citations), Hematology (91 citations), Transplantation (15 citations), Epidemiology (100 citations) and Genetics (56 citations). Rafael Hernani has collaborated with scholars based in Spain, Germany and France. Frequent co-authors include Carlos Solano, Ariadna Pérez, José Luís Piñana, Manuel Guerreiro, David Navarro, Juan Carlos Hernández‐Boluda, Estela Giménez, Mi Kwon, Juan Montoro and Eliseo Albert. Their work appears in journals such as Bone Marrow Transplantation, Transplantation and Cellular Therapy, Blood, Journal of Medical Virology and HemaSphere.
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.